Let's get started with this. The topic, obviously, we have a similar using TFJS and talking more about me in terms of TensorFlow.js. So I am a part of, say, of TensorFlow.js a member. Also, I'm a working group member of TensorFlow.js. You can say a DevRel team in that sense. GSOC student under TensorFlow, working under TensorFlow.js project, and organized TFUJ Chandigar. So I'm not getting in more on the ideologies of mine. So let's get started. So machine learning JavaScript. Why? Basically, for those who didn't know about what is TensorFlow, just giving you a normal briefing. TensorFlow is unfree and open-source software, library for Dataflow, differential programming. And you can say, numerical scientific calculation, you can say, which make it easy. That's a basic concept of TensorFlow, you can say. Or yeah. Cool. So use ML anywhere JavaScript can run. So from the TF.js, what the concept behind when TF.js came into play. So in initial of this session, I will give you a descriptive point of view of how TensorFlow.js works, what is the architecture out of it, and why it helps in web assembly to enhance a machine learning model to work with web assembly. And after that, I will give you a small about web assembly introduction. Yeah. So JavaScript can mostly run in everywhere, you can say, in your client side that is called browser, server side, that is in this way, we can call this as a Node.js, desktop, mobile, IoT, you can say more only Raspberry Pi side. Cool. So what are the browser that is supported by most of the, like when we call TF.js and TF.js model, that is Chrome as usual, because it's Google product, Apple Safari and Firefox from the server side, Node.js as usual, because why I'm saying, because I will explain why in server and why Node.js is preferred in mobile and react native VChat and PWA professional web application, those who are working more on that and in terms of that, in desktop version, also electron framework is there, but now team is also working under, like more on the ionic framework also. So I hope so, those who are ionic framework, maybe for who are working on that, it is good news for them also. And as usual for IoT, Raspberry Pi right now in community TF.js community, we are so much working on Raspberry Pi to enhance the performance, talking about more on the IoT end. Cool. Now, what is TF.js and how it is important for all the web developers here? So the simple concept behind it, run, retrain, write. So again, if there is some existing models present over there, those who know pretty much about TensorFlow Hub, all your models are listed over there. So you can run normal existing model or you can say pre-trained models, it is available over TensorFlow Hub. If you want to retrain or existing that model, you can use using transfer learning. And also that is a great news if you are not a Python developer and you are only just JavaScript developer and you want to create the model or you can specifically machine learning models in JavaScript, that's the part of it. You can use your JavaScript to create machine learning model. You didn't have to be, you have to know and you can say Python, Python library or you can say any terms of Python. So that's a great thing for most of the JavaScript developer you can say. Cool. So for anything you can may dream of, so most of the time, like many people are not thought of because augmented reality kind of stuff can be included in you can say in TensorFlow.js. But now it is more on that and we are also working on the NLP side that is sentiment analysis, conversational AI, web page optimization. And recently we just got a, you can say collaboration with Microsoft on where we are just working with, how even if you are not a data scientist by dragging dropping using a platform that we are working, it is coming soon in a month I guess and you can see that there are many, many applications out there in TensorFlow.js, try to be a part of community. You can do so a lot of things around that. Cool. Now the pre-trained model, why I'm just touching this part, why, because the scene is that the pre-trained models are mostly those who are, for those who are not good machine learning folk, they are not particularly good with machine learning. So that's a basic concept came into play. So if you want to work on any project and you think that this model is kind of can be used over here, you need to be know about the back and stuff, what actually machine learning or the what are the layering done by the machine learning models, you just go to AI, use this API and you can implement that stuff on the spot on your project. Some of them are image classification, object detection, body segmentation, pose estimation, tech toxicity, sentence encoding, speech command and KNN classifier. Also, recently we have just worked with some of the face mesh models and you can say hand pose net models, but right now one of the fastest model that we just acquired is one of the fast end, it is used by many of them, the model name most on the around mesh model and we are working more on, and if you want to check out more models, you just go to tensorflow.org slash jsjs models and you can see all that pre-trained model that is supported by tensorflow.js in different different platforms, cool. So normal thing, object recognition using Cocoa SSD is the normal. If you are at the end, I can show you a small demo with like how performance is improved by tensorflow.js, how the performance, in terms of architecture is working over it, so cool, yep.  So how your face is detecting, using just three MB in size, training has to be done on the cloud, you didn't need to install anything, that's a power of tensorflow.js, you just directly import that stuff on your phone using CDN, and even if you're not a fan of CDN, you can install tf.js on your system by using npim packages and yarn packages, and yep, cool. Body segmentation is a part of it, and those who know why, why body segmentation is a very, very bigger part of an application right in machine learning industry, and why it is important when you see, you can say many of the camera that is put on over the traffic lights on traffic area where there's so much traffic over there, and they can detect using body segmentation of the car, or if you are considering about the human also, cool. So with a little bit of creativity, you can enhance the superpower, you can say when you are seeing in the Marvel movies, and it's now true, you can say on that again, the power of computation that is done by it. So there is a, I'm just giving you some of the better examples, how tensorflow is indulging with WebGL shaders, and more on you can say WebGL part, and how it worked with the Bezham part also, why I'm giving you these examples so that you can get some motivation to work with Bezham over those projects, cool. So this one, the laser one, second one is the teleportation one that is done by our one and only senior developer advocate at TensorFlow.js, that is Jason Maves, and he's done using WebRTC, he doesn't know what is WebRTC. If you see Google Meet, so Google Meet has a concept of RTC kind of thing where basically the networking concept is came into play, how my video and my audience link with the another person or your video. So that's a concept of teleportation that is indulged in the WebRTC. A frame is another frame of 3.js that is a 3D library, those who did it pretty much know, and indulge with the tensorflow.js to support that stuff, cool. Now my next one will be another delightful creation by again, Jason Maves, in where you just have the body scanned by you, and just in order to that, what is the size of your body is estimated by the model, close size estimation specifically talking about, cool. Now, there's another project that's a very fascinating project for my end because I'm much into the augmented reality stuff and using WebXR, WebGL, plus TensorFlow.js, and now I think so Alexandria is working more on it about the Vesem, how using Vesem can we improve the speed or performance of the whole project? Basically it's what it here it's doing, just taking a snap of it, and just that same thing is creating using augmented reality or extended reality stuff to be in your enhanced real-life models, cool. Now, transfer learning. Now transfer learning is a very fascinating term and many people know pretty much because Jason is advocating transfer learning in a very huge end, and you can go for the website called Teachable Machine Learning by Google, where you just need to just add some data, there's some pre-trained models over there, use that model, add, you can use your, you can say retrain that your model by adding your data and create your new examples and you can easily do that.  Now, in terms of code, what I'm seeing over here is you need to understand if it can be possible, there are two installation that I am just showing here. I prefer Cedian because even though Cedian can crash more on a time, but when I use TensorFlow.js, Cedian works very fine. There is no issue right now, but if you think you are not a fan of Cedian, you go to the Yarn packages or the NPM packages of TensorFlow.js, install it. Otherwise, you didn't need to install anything, all things are in the cloud. Use the Cedian link that I am showing that is in the script source equal to Cedian one and second one for the AutoML, if you want, if you are just working with the AutoML stuff, so that's what and just adding you can some image class if you want to do some classification, just add an image and try to reiterate that stuff. So I'm not giving deep dive into the JavaScript and how the whole async function is working over here. So yeah, cool. So yeah, TensorFlow.js, write your own code that what I'm sure shared earlier also. If you are not a Python developer, but like if you are JavaScript developer and you didn't need to go to learn Python, so that's a power out of it. You can use TensorFlow.js as a tool to basically create your own model. You didn't have to create, you didn't have to be a Python developer to create machine learning model. That's the power of TensorFlow.js. Cool. Now, just giving you a API briefing, what you can do, there's two, basically two level API that is high level layer API like basically Keras and low level or you can say ops API that is called mathematical and I will deep dive how from where I just started contributing to that part in kernel send and I will give you basically descriptive point of view how Vesem also works in the mathematical order. So we will get in this session or like you can say a huge however somebody works in TensorFlow.js and yep, let's go to the next one. Let's go to the main important part of it, how the architecture works over it. So you can got some insights about it. So again, I just set a layer after the model when we adding the layers part of it, there's two layers. First one is the high layer API and second one is ops API. You can say core API or basically it's called, you can say backend, the whole mathematical stuff is going on the core API that is a main low level API. But let's structure it, cool. So we have one one that is client, that is browser ended, what we see right now that is on the CPU, WebGL and Vesem and also more on the node GPUs also coming and like it is in the runway but like it's in right now, it's working in the production. So the visual item you can say is in CPU, WebGL and Vesem and on the backend step that what I said earlier, node.js, it is working on TensorFlow CPU and TensorFlow GPU. And if you are using, you can say the TPU endpoint, again, it is in the production and it is trying to work on it so that it will be present maybe in three to four months maybe to visible visible in your Google collab and you can use that stuff, cool. Now, how the whole model structure built out if you suppose if you are a Python developer, so there's a TFJS converter you have having if you want to convert Python to JavaScript or JavaScript to Python, it's onto, if you will suppose if a Python developer, you didn't know JavaScript, so what you can do. So for this also, TFJS bringing your TFJS converter, we're just you didn't, you just need to write your whole code in Python and just add to the final line and just directly convert that stuff into the JavaScript and that's the power out of it and you didn't need to use again anything else if you are not a JavaScript developer. So it's a great tool for also Python developer too, cool. So I'm just talking about the model inference performance and it's improved by, it's by improved like it's like a small old data. So now the accuracy is just touching about for 52 like or less in terms of inference time as it touching 23.1 and 20, now it's reduced to about like half of it like 10 and 10, 10.1 you can say in and around. It's like old data, so I'm just sharing that part and performance is improved day by day by TensorFlow.js team as it's totally work on the WebAssembly because WebAssembly improved that stuff and how it's improving, I will share you that. Again, same data about the hugging phase, how it's reducing inference time is reducing day by day on that end, cool. Now just sharing about some slight super power by TensorFlow.js and we after that this we are going to the main topic that is WebAssembly and how you can work over it, cool. So privacy, how like privacy is totally working right now by the Google and now the differential privacy scheme into play how we can reduce how we can improve the privacy over that and lower that part in terms of the sharing your data. There is no need if you are thinking your data is shared by Google, no, it's not. It's exactly working on that model pre-trained working on that and there's no saving of saving of data of yours. That's the power out of it. Lower latency that's provided augmented reality experience out of it, cool. And second thing last but not the least you can say over that part is that lower latency, lower cost. Again, you didn't need to charge here. There's no charge out of it if you're using KF.js interactivities on the spot and reach and scalability like most of the 84% of device right now like it's a 84 now I think it's 90% like 90% of device via WebGL is supported everywhere. Like you can use your models or you can some machine learning model on your phone on your Chrome browser, that's the power out of it, cool. And just giving us some what about server side and node.js support like again, it is a power of you can convert the same model without any conversion. You like didn't need to understand the JavaScript or Python to just convert from one language to another language, cool. Code in one language if you already use JavaScript that's great. If you're not using JavaScript it's also okay you can just convert that stuff and it also right now working on the C binding for pre and post processing for the Java for the Java developers also working for the Java containerization or you can see GFX production and that is right to working on the TensorFlow team, cool. Main topic, what is WebAssembly? And let's crack this stuff. So talking about WebAssembly means web and assembly. So just converting the web web means basically our HTML CSS stuff and what is assembly when we're talking about assembly level language that is machine level language. So just combining web with assembly level language is called WebAssembly. That's a simple of when I'm breaking that part. So let's go to the main code definition, sorry. Yep, code definition outer. So what is Bazem or WebAssembly? So WebAssembly is a binary instruction form of stack based virtual machine. So from this definition, like it's kind of a bouncer for many of them. So I'm just literally saying what it is. So what we are doing here, we are just converting the HTML part or you can see C++ code into HTML. So many people thought of how it is possible. So I will give you a small, you can say a diagram of how it's whole working, how the process is going over that. Yep, so TensorFlow.js and how TF.js is supporting WebAssembly because as I already told you, TensorFlow.js is a JavaScript framework and supporting by Node.js because Node.js also framework. If you have a same environment, your performance already reach on the next level. Why I'm saying is like that because suppose I'm taking example, if I'm taking a backend as a Django Django, suppose I'm taking a server as a Django server and I'm just integrating that part with the TensorFlow.js. Yeah, it can be possible. It can improve on some or another and or you can say application point of view is also great. But now the terms came into place like that. Your environment issues will be different. So if there is any update in TensorFlow.js or Django, there will be clashes out of it. So yeah, so from that and Node.js supporting in terms of performance also, it's pretty much good and how CPU execution with minimal code changes can bring out to the, you can see, you can use Wasm code over that part. If you're like a Wasm developer, if I'm saying, cool. Now the sum of the key concept, how WebAssembly concept came into play. I'm just giving, didn't go to the definition out of it. I'm just breaking down everything, each and everything bit by bit. Module, memory, table and instance, take it, you can say remember this stuff, I will explain you in a better way. Cool. What are we are doing? We are creating a normal hello world code, like suppose C or C++ code. Now there is a tool called M-scripten that is created by M-scripten only. What they are doing is just, they are just breaking down a Wasm module with the STML document that is, you can say JavaScript glue code specifically, cool. And how it's totally working out of it, how it will be touch on out of it. So yeah, that's a basic concept of Wasm. And in a nutshell, when we the process of work as a flows, M-scripten first feeds a C and C++, then it directly clang with the mature OpenC C++ compiler tool chain, you can say about when you're going for the Linux and I'm just sharing that part also in demonstration. So do not chill with it. M-scripten transformed the compiled result of clang with the Wasm, dot Wasm binary. Now what is the meaning out of it? It's a meaning out of it is like in Wasm, it's totally machine-leveling, you can't understand Wasm. So how you can experience that part if you are not able to understand the machine-level code. So on that ponder, dot Wasm, pipe your binary creates, you can say dot a.out.js file. Now what it is actually, I will share in the demonstrations to do not worry about it. And by itself, whether somebody cannot currently directly access the DOM. So how it can access, again, using JavaScript, because if you can go back to the slide, what we are doing, we are creating a Wasm module and we're creating another JavaScript with HTML component. So because JavaScript can create you basically when we are seeing what is the origin of JavaScript is like DOM, when we're talking about document object model, that's a part of how JavaScript explode. And now Wasm can't directly connect with DOM. So how it can be using JavaScript? That's why JavaScript indulge over here. Cool. Now, does the access any web API using WebAssembly? Just need to call out the JavaScript. If you're good with JavaScript, you can use WebAssembly in a pretty much good way. And I will share you how you can use it using almost TypeScript and CC++ code. Yeah. Cool. Now, how you can use TensorFlow.js as a backend? Even you are not good with Wasm. You didn't need to worry about it. All you, what you have to do, just create a variable TensorFlow. Just need to call up the TensorFlow.js and just add the Wasm backend, like require at the rate TensorFlow slash tfjs backend Wasm. And just need for five to 10 minutes because it takes loading time for it. And tf.set backend, just if you are good with, you can say arrow function, you can easily do that, tf.set backend Wasm then, and you can say to the main function and you just call that main function over here. Cool. Now, the library expected the Wasm binary to relate it to the main JavaScript file. So again, the concept, or you can say the architecture of Wasm binary is more related to the main JavaScript file on the, how you are creating that JavaScript file of TensorFlow.js as usual. And you need to manually indicate the location of Wasm binary because you need to set the Wasm path basically over here because there they didn't get the access out of it. How, where your Wasm, where you are storing your all Wasm file over one directory. That's the main concept behind it. So how you can do, use that. So need, just need to import the set Wasm path from again, tf.js backend Wasm. Set the Wasm path, your custom path, you just set, you can create a let variable about your custom path over there and just set up that part and just call that whole stuff on the script tag. You can, like those which I was going to develop, I can't like, it's like easy for you all.  That's basically a custom, custom definition you can say. Cool. Now, when should I use Wasm, cool. That's the main important part because you didn't need to use everywhere Wasm, right? It's like when you're working on your laptop or desktop with, because again, Wasm only works on your system. And if you're working on the cloud, cloud has a like grade one WebGL kind of thing. So you didn't need to use on cloud. But if you're using on your system, then only you use Wasm. How let me, let me show you with some stats. Yeah. So there is some architecture out of it. Let me give you a kind of pointer so that let me see if I caught a pointer over here so that I can explain you better. Cool. Yeah. So if you see Wasm is here like about the open, like this one ONX one and how the whole structure out of it is working over it. So basically if we go to the workload where the whole models are shifted over there and how the whole stuff is working with another framework like ONX, NX, Cafe, TensorFlow, or you can say TF Lite kind of thing. So what basically they are doing, they're just converting the open CV, like those who pretty much know about open CV.js, they have a framework and how they're connected. They are connected with WebGL and WebAssembly because WebGL basically improve the enhance on the cloud and WebAssembly is working on your local system and how its whole total architecture work on it. Let's see. Let's see some stats. Yeah. So we just collaborated with the Intel team and just got the inference latency stats about when we're talking about the 10th, 11th generation. And here we are found for every, when we're talking about Wasm, SIMD, and those who know what is SIMD, single instruction, multiple definition basically. Basically we are just working on a threading part over it. So it didn't go in depth. I'm just sharing some of the stats about it, how Wasm is so, so powerful with SIMD. That's what the concept behind it.  So that's a part of it. Cool. Yep. Now you are seeing on every and on every to every end, Wasm is improved. Even you are seeing over here, even Wasm, SIMD and why I'm talking about threading here, because basic threading, normal definition, is just you are connecting one dot to another dot with the normal threading kind of like very pretty much here. I'm just taking an example over here. Suppose your grandma is making a woollen kind of flow. So what, what's she doing here? She's just threading one from one connect to another connection. Same thing is happening over here. Here what they are, they are multiple Wasm files over there. So what every Wasm file is threading with another, another file. That basically improve the, you can say improve the performance over it. I didn't go very in depth out of it. If you want, you can check the benchmark tool also. I will share that path also over that. Cool. And yeah, that's the end of my slide, but it's not over yet folks. I'm just showing you the demonstration specifically. So just give me a sec about it. And I'm just sharing the, yep, cool. Let me share my whole screen. That will be pretty much better. So that, cool. I think so my screen is whole is visible to you all. So again, I, again, I use most of the, most of the stuff over here. So let's like, yeah, you didn't need to, again, I installed M script and you, yeah, you can just go to the main website. Yeah. If you want, I can share in the, at the end, the links out of the M script and then you can check that out. So let me check what is happening over here. Cool. So over here, what we are doing here, let me, let me show you the one thing. There's a one file I created. Cool. So cat hello world.c.c. And if you see, if you see over here, let me, let me open the, like the VS code, bear with me folks because it, my system take needs time to open VS code. So just bear with me over that. So actually what I'm doing here, actually when we're talking about the, let's just open till then it's open. And let me show you the, to check the version is working or not. Let's check to be the, from the version. Yeah. It's working. It's a model of POSIX and install, like you can see over, like if you want, let me increase the cool, cool, cool, cool. Yeah. I think so. VS code is also here, VS code is also here. Just give me, it's like folks, let me see. Have a, have a, have a patience folks. It's opening. That's the, the system is pretty much slow. So sorry for that. Yeah. Give me a sec. Cool, cool, cool, cool. Yeah. Cool. So let's create a new file and just run that stuff. Cool. Because I am the, I'm the basically on that format. It's so pretty much. Not hello. So let's create. Yeah. Wait a second. Let's create a new file. Just wait a minute. So, yeah. So let's write tfjs.numbai.c. I think so it's pretty much, okay. Sorry for that. Waiting for, waiting for. Cool. Let me see. Yeah. So what basically I'm doing, like I think so my system will be like pretty much slow. So let me give you the explanation of it. If you see cat eight dot out.js. So what basically what I'm doing here is like that. By just writing this, basically it just create the file that is basically eight dot out.js and eight dot out.basm. And let, yeah, I think so. And let's do scat eight dot out.js. Yeah. So basically directly convert my C plus, C plus plus. You can see and C plus plus code on this JavaScript. You didn't need to need anything kind of thing to convert the whole stuff. And it's like a pretty much big, I know very pretty much big. So I'll let me go to the top so that you, you didn't need to create the whole, this like JavaScript file again. Cool. It is very much. So you didn't need to go in depth of everything. So be chill with it. Why I'm sharing you because you didn't need to, because M script and tool is used here. But when we're talking about machine learning library, again, what do we need to do here? Again, just call the backend stuff and you can do easily stuff. Let me show, let me clear this stuff. Cool. And yep. So let me get it taught how, let me see exact file name. Okay. And if you see, if you see the actual Vezem one, you didn't need to understand able, you didn't need to understand anything. Let's see. Because it's total in the machine learning form, sorry, in the machine level language, if you see, you can't understand anything, anything, let's see, just see this. That's why JavaScript came into play because you are connected with the, you can say the DOM part and how you can see that stuff. Let me show you. If we just create this one and just we just write node eight dot out.js. Let's call this one. So what it will show you, let's see. Hello world. That's what we printed over. Let's see. Cat. Let me see the hello world and cat C. So basically for this one, it's just creating hello world. I'm using, because it's supporting node and node.js at as usual. And if you want to do the, if you want to create, you can see generating HTML files of what you can do. MCC. What is the name of hello world? Cool.C file minus O. Let me call as a TFUG supposed for the name. Like, let me hide this one for the pretty much better one. Cool. So I'm just creating a name and TFUG dot HTML, pretty much good. Let's see. Cool. Now let's see it's created or not, like cat TFUG. Sorry. TFUG HTML. So it's created by the whole and script. And you didn't need to install anything. And that's the part that what I want to show. Like if you've seen the Vezem, but you can't be able to understand anything. I'm trying for the, like my VS code, I think my VS code is crashing. Just give me a sec. But like, I think so. Yeah. That's the, let me see, let me see, let me see. Just give me a sec. Cool. I think so. My most on the most on the agenda is came over here. I hope so. You got something about.


It's Diddy Canem back today with another spark video. Huge thanks to everybody for tuning in. If you want to see more, make sure you subscribe. Give me a thumbs up, and do not skip those ads. It's May 29th, and it's time to get to these bags. In this video, it's a long video, and a lot of stuff happened. Today might be my last day on Automated Spark, though, so you guys want to make sure you stay tuned for that. Also, we hit our record high of 500 plus, adjuring the ones like Twisted. So, you guys want to make sure you stay tuned for that. Also, if you want to have someone that's on a free march, or you have news to email me at Rollsonsreviewsatgmail.com, to make sure you subscribe to the channel, and earn your chance to win. Are you guys ready to watch us get to these different ends? Hold on, I'll wait. Let's go. When you give us all money, we want it crispy. Order number two is all I'm about to shop and deliver, 4.6 miles, 17 items for 1950s. Help us to get this grip, G. Let's go. We in this thing, baby. Oh. Oh, oh, oh. No, that's a... You see that joint underneath the liners, but we got to get busy. Don't be driving with me.  I'm gonna spark. I'm gonna tell you guys what happened. Morning, I woke up, and guess what? My acceptance rate was at 6%. Yesterday was at 10, and y'all saw me get busy yesterday. I wasn't declining any orders. I don't know what happened. I called Spark yesterday. They told me that the reason why my acceptance rate keep going down is because I am accepting expired orders which that ain't my fault, baby. If it's expired, look, I'm trying to get this money. So, I had to give them a call. Yesterday, I asked them if it continues to go down, so I call it tomorrow. They say, yeah, I called them today. They pretty much said the same thing they said yesterday, but I did find out this. Huge gain for anybody out there who have these problems. I did find out that it takes Spark's support five to seven business days for them to respond to what's going on. So, that's all you guys know about that. Also, I did... We also did notice that my business partner orders... I mean, her acceptance rate is not going down, but mine is, so it could just be iPhone. So, I need you to comment below and let me know if this happened to you, if you got an iPhone or your Android, whatever you may got. Comment below and let me know. But guess what? We on the way to get this dough. Y'all already know it's time to go. Let's go. Guess what, baby? It's time to get on the ground today in the time. Grab this bag. I think I'm going to grab everything. I want you to grab this right here. That's the egg and the croissant. Carey's and... Y'all see what's going on. Y'all see what's going on. My name is on it. I'm not going to let it go. I'm not going to let it go. Just in case you're going to come on here and get busy. I'm about to move kind of shit, so they better hurry up. Jumpin' at the top. That beard right there. Wimski. Hey, doggy doggy. He's not like you're born. He's not like you're born here. He's not like you're outside the door. Jumpin' at the top. Wimski. They're back here with the photo you're having on us. Man, we on. Order number three. We getting this money with ease. One more to order. 7.2 miles with 26.47. Thank God for his blessings. Let's go. Order number four, the money. Knocking that Walmart shop deliverer. 24 Isles, 5.3 miles for 35 Isles. We poppin' our color. Let's go. You guys would not believe this. I had to stop in the middle of the street to drop off this order because guess what? They don't have a driveway. Innocence is the main street, baby. You guys will see when we get back to the car. If I can get back to the car. How you doing? Here's your order from Walmart. Since that's, oh, 13, not 17. Oh, I didn't know it was Allie right here. I'm wondering, like, why is there no driveway? I thought you complained here, but I'm like, uh... Yeah, I'm like, I didn't know it was Allie because the house is down there. They actually have a driveway. So I'm thinking like, where do you guys park it? Oh, well, I'm blanchard. You don't blanchard in one way, Allie. Okay. All right, you guys have a good one. I'm tweaking. Look, guys, the house is down the street.   That was just dumb. I'm UPS driver. Let's go. We are here to drop off order number two. What do you do from a full stick like the flu? What you talking about, baby? I'm rhyming in cars. Oh, you got a little weight to it. And it's the one that's ripped, baby. But this is the way it goes. You know it's time for us to go, baby. You already know. I wonder where the guy going over right here. Maybe he's fixing something. I don't know. Or maybe it's just like that. I don't know. When I move, you move just like that. Like it's hot.  But the move comes shift. Bop, bop, bop, bop. Bop. Is there something in there? Well, there's something in there. Bop. They got that Coca-Cola with the yolo. And they got that Sprite ski. Bop, like it's hot. Bop, like it's hot. Last thing, let's get this room. Bop, like it's hot. Step back with the phone. You already know that. Matt, what you want? Order number five. A leg of Neymar 2 on the 3.9 miles with $26.73. It's time for us to get this cheese. Let's go. You are here, baby, to drop off order number one. Guess what, guys? I got lost. Jeff just sent me off to send me to this other address. And then it was hard for me to find this house. This is actually on the main street because the address is ripped up their mailbox. So I couldn't see it. So that's kind of crazy, baby. But either way it go. He about to get to this door and you know he's going to scope. Gotta get these two bags. I'm going to have to come back and take one more trip, baby. Let's go. Hello. How are you doing, sir? I'm doing great. I'm still living. Drop everything right here so we can get in the clear. Here, we move on here. Step back on the phone, smack. All right, sir, you have a great day. Let's go. These big old rice, baby. I ain't never seen rice bag this big. Again, they got like a thousand and one. Mountain Dew, I think it's like six Mountain Dews, two liters, baby. Let's go get busy. We're going to have to come back and get the Mountain Dews and we're going to move kind of shifted. I'm trying to get all the way sparked up again. I'm trying to work on my sentence with California guys because I'm trying to get kicked off. I ain't got money, man. Whatever you do, do not mess up the money.  We never know when this stuff may end. So you got to get it in while you can. So you got to get some bands, man. You know what I mean?  Talk like Todd. Let's go get this Mountain Dew, baby. We have five of these joints. They about to get Mountain Dews. They about to get Mountain Dew waste. Order six and seven. I ain't got any Glover, but I can't believe the weapon. All of my shopping liver. One order, 3.7 miles, 15 items for 1950. We about to move kind of shifted. Or number seven is all the way sports stuff. One more shopping liver, 8.4 miles, 3 items for 20, 55. The limit is the skies, baby. Let's go. Yes, ma'am. So you're the one with the yeah, I was told about you the other day. Oh, yeah. What they say? Was it a good or bad thing? Oh, no, just explain a couple of the people she's dealt with to the sparks and one of them was the body cam with the that's. So it says waiting for associate on this one. Okay. It wants me to scan for items. Is the only four items in your cart? Yes, ma'am. Look at your room. You hit three. Well, it was supposed to be because they had to get a substitute for this. It was supposed to be a six pack of water, but they didn't have it. So I had to get two separate ones. Good to go exiting the store. Thank you very much. Yeah, I appreciate it. Alrighty, you have a good one. Thank you. You're welcome. This order to get an order. But guess what? Man, this app is tripping man. It's not working right. Not letting me go in. It just keeps on freezing every time. So I'm probably going to just take this picture with my regular camera. Yeah, I have to call all the way sparked up. Let them know that I delivered it. Let's go. Order eight and nine. We get to this money. We ain't dropping a dime. Oh, one of my two orders, 4.6 miles for 1909. We ain't gonna stop until we sign, baby. Order number nine. Instaur pick up 9.4 miles with 2,146. We already in the mix. Look, we got the order right there to get an order. Story, pull up to Walmart to get this. What? That Instaur pick up. And guess what? At this Walmart, you don't have to pull up. You don't have to go inside to get it.  But when I was getting this order, my guy came out and told me to guess what? I have been reported yet again from a person from that Walmart. That's only the first one that ever did that. But it was some girl that told their manager and reported that I was recording them. And she did not. I just want to say this. She never asked me to not record her. I don't even know what she is. So I don't know if you know. But guess what the manager said? The manager said they can do nothing about it because I did not disobey any of the policies. So apparently I can record now. I don't know what's going on. Either way, go stop hating and get to this though. I don't look. If you don't want to record, you all you got to do is ask for likes. But I want to say this before we go. I am so glad that we don't have to rely on just curbside pickups anymore. Cause I don't want to deal with another boy. I like to be by myself. I don't want to be bothered. I just go ahead, shop, get this order and keep on moving and cruising and keep on getting this money because it's Susan. But I see guys when we get to the house we creep it like a mouse. Let's go. Here baby was a nice little drive. Oh, they got two doors. Which one got the doorbell by? I don't know. I'm taking it over here, baby. We going over here. We getting into clear. Shop right here. It's hot. I don't want the photo. Mac doorbell. Let's go. Order number 10. We back at it again. Our two orders, five or nine miles for 36, 62. You know what we about to do. Let's go. Order number. We won't catch it. 8.4 miles for 41, 17. You know it's how fast to get this green. Let's go. Order number one. We about to get it done, baby. About to go get busy. We got the mood kind of shifty. Man, my business partner was just talking. How you doing, sir? Hey, how are you? I'm doing great. I can't complain. So me and my business partner was talking. And guess what? We might actually try to go for this incentive. It's 18 trips. We get it $108. We both are going to be at nine trips after these two trips right here. So then we need nine more. We probably going to go longer today or something like that. So we get that one 18. That 108 for those who good and great. Get in with the photo. Doorbell. Let's go. We got some stuff in this bag. We got the big bag, too. I'm going to come back and get that. This joint. I don't want to wait too long. I don't want them to try to fall off. Let's get busy, baby. You know what I'm talking about? It's running off this bag. You know what I'm talking about? Sometime they be hanging. They be mad. Talking like it's hot. That is everything. Step back. Max. Yes, one guy for order number 11. My business party got an extra $20 tip off the riff. She made $61 and 17 cents off of one order to get in order. But guess what order we got? Order number 12. Sometimes they hate when I yell. Oh, it's 4.3 miles for $25.72.  Let's go. Here, baby. You want me to help you take it? Pretty good. We got to sign this, too. Let's sign it right there. Put your hand on it. Go ahead. Yeah, sign it. Go ahead. Let me take this down for you. We have to go and be good, man. Order number 13. Some people be hating it. I think it's kind of disturbed. I'm going to deliver 5.1 miles. 26 items for $21.50. We going to move kind of $50. Let's go. Order number two. We about to use the dolly to pump this ollie, baby. So we can take one tip off the riff. A couple like this. I'm going to put that right there. I'm going to put this right here. I'm going to put this right here. I'm going to grab this. Put this in the arm. Wamski. Grab this in the hand to get these man. Bamski. We going to lift this dolly up. Then we going to scram. Wamski. Let's go, baby. Let's go with the flow. You already know. We're going to go. Oh, dang, this thing is hot. Let me see if it's working. Yeah, what kind of sort of work? City wants to leave it in the garage. I'm going to leave it right here. Whoa, whoa, whoa, whoa, whoa, whoa, whoa. Hit him with the photo. Smack. We gone. Order number 14. We still keep scoring. Oh, one by 70, number seven miles. Eight items for $2180 done.  Let's go. Baby, time to get busy.  Shout out to Nick. Awesome. He's grinding from the muscle. Dear, let's get it to clear, baby. Here's going with this order to get in order. Actually, this shopping deliver wasn't bad at all. It was actually pretty decent and pretty smooth. Drop it like this, huh? We got a few items too. Dang, I'll put it back. I'm out of pocket.  Drop it like this, huh? Drop it like this, huh? Step back on the phone. You already know what I'm talking about? You already know what I'm talking about? Let's go. Order 15 and 16. Start living out of this thing. One more shopping deliver. One order 2.3 miles. 36 items for $32. We popping our collar. Order number 16 is all one of our shopping deliver. 33 items, 2.6 miles for $51. Flow sick. Call a doctor. Let's go. We're finally done. Honestly, the order wasn't that bad.  It took us up so much of the cart. I need to learn. I need to give my bag of skills up. That's the thing, right? I need to give my bag of skills up because I don't really know how I'm doing because I'm not a grocery shop. I told you guys this before, but my bag of skills got to get a little bit better. So I know how to prioritize and what to put in first and what to put in last because I'm not the greatest at that. We are here to get busy. We're going to try to move kind of sift quickly, but guess what? It's going to take a few trips. Maybe three or four, but either way, go. That's $51. We about to get to the store, baby. Ain't good. They have a lot of room on their side right here. Right now, just in case you want to come out here and get busy. It's the last order. They get an order. You guys will not believe how much you made today. I'm going to tell y'all later on. We go get it all. Just know we ain't go. Put it in there. Put an arm right there. Bam, bam. Take a couple of these. Hello. I'm doing great in yourself. I'm sorry. I just want to set it in here. Yes, ma'am. Look at you. You're so great. Make it way easier for you. You are. You are. Is the cat going to get out on me? No, she's good. I don't want to be chasing her down the street. No, no. She'll come back anyway. Oh, thank you so much, honey. Thank you. You got it? Yep, I got it. I'm going to see. Well, my business partner came up with this idea. I can't take the credit. I can't take the credit. If it was up to me, I'll be taking a thousand trips. So efficient, though. And it definitely helps a lot. Yeah. No kidding. Amazon. Amazon is the place to be. I'll tell you what, if it's not Amazon, you don't have it. Exactly. Here you go. That's everything, man. You guys have a good one. I'll move it so I can close for you. Oh, you're so great. Thank you. You're welcome. You guys have a good one. Happy Memorial Day. I'm going to hit it with a photo. So the address, bam, and we're gone. And just like that, it is the end of the video. I hope you guys enjoyed the content. We made $519.72. What else y'all want us to do, baby? We came, we saw, we conquered. Wayne Barker, look at the time. What is 202? You know we had to do. We had to get busy. And I hope you guys are with me. I hope you guys enjoyed the video. This is the most that's ever happened on YouTube. I ain't never seen it happen before. Comment below and let me know. Y'all saw what's called. We came, we saw, we conquered. And we've been crazy. And I keep that $380 and a $9 all the time. Because I'm on the ground. I hope you guys enjoyed the video. Again, if you want a chance to win some of the free merch, all you have to do is email me at www.Walemstaffs.com, send me a picture, so I can subscribe to the channel and earn your chance to win. Next week is the last week for you to get the free merch, baby. So make sure you email me there. I'll see you guys on the next one. We're going, we're going, we're throwing. You already know it is DDK and I'm on my way.


Who is the dedicated from Indonesia? Any dedicated from Indonesia? Okay, good. How are you? Pisa, how are you? How is Indonesia? So whenever I was in Indonesia, the beauty of living in Indonesia was that I learned the language for 10 months and then I studied my entire course in that language. So, the interesting part of being all over inside to learn different languages bringing to all of you is a great, great feeling for me and I was just sitting with Dr. Amrita that years back I wished there was something called modern native nations and I was actually reading my student life. The first time I was in international exposure and I was referred to not as a delegate but as a representative of India in 1992 when I represented India NCC to a new conference in UK that was way back in 1992 and the interesting part of the exposure that I got there is that it carries me in a great sense whenever I interact. So these kind of conferences these kind of things are very informative and educational as such thereafter I had an exposure in the high portion of India in Namibia and also in the embassy of India in Indonesia and what I learned out of anywhere around 10 to 3 points which I feel are very, very important and are taken away from forums such as modern native nations. So the first thing that I feel that a particular delegate needs to do when he is known to be a delegate of a particular country, working on a particular issue is that he needs to do around Mr. Amrita. What I would like to do but there is no substitute to go to knowledge and there is research that we need to do as a delegate from a specific committee and what a energy stand has been that gives us confidence. The second point I want to make is that our art of articulation, just so the knowledge of the audience, if you ask me honestly speaking with the natural ability the readiness is a part of the ability I am very wrong but over the period of years from our education from the kind of environment we have come from somewhere deep down our speeding abilities they take a back seat and we become more into the learning part so in the second point I am going to say in offices like this, modern applications your articulation of your thoughts is something that you need to pay attention to when the environment is saying how do you present your point? what kind of communicator are you? how effective, how dramatic how you are going to put your points across and that comes with a lot of confidence and knowing how to see the public and when they say public seating it could be your articulation to a group of one person two persons, five people it could be, am I right? and if you do this public seating as a performance you could be a little bit of hazy here if you could do this public seating as a conversation, I am sure you all will be more confident, am I right or not? so the photographs of the aging that was presented was proved by it says that most of you are so passionate and involved in putting across your point that most of the hands are open up and down and they are not being captured on screen but as you know all those kinds of things will happen so that is the same part that you have to be a good communicator and the third point and an important point I want to bring up and then I am going to try and guide you to the real leadership the third important point is if you realize as a decade of a particular country there is already a home work or a background or a history and a policy of your country has been presented it is very important in life to be a good follower to be a good leader you cannot just become a good leader or whatever you have to be a follower and to be a good follower you need to understand that there is a difference between activism and administration you can get practice by saying a lot of things and putting across what your point of views are but once the decision is changed once a policy is framed once a timing for getting together, gathering at an XYZ time or having such kind of things in your country once a decision is taken it is up to us the leaders of which you are working in the future to convince your people that this is the right thing the first student has said that there is a research and the public seeking skills can come through a lot of failing competition happening and you can improve on these but the third thing comes to your mind you would be aware that everything is not as far as you are writing all the time but you need to stand on the stage and you represent as a delegate of XYZ a particular issue what you need to do is support that there is no point speaking something else and putting it outside and putting an entirely diametrically opposite to your point because I thought so I have nothing to say because the delegate of leader wants to say this am I right? Is that the right way of thinking in the end again? so it is not about you it is about what is the policy and the policies and the way the organization needs to go forward is also decided by a collective group this attitude you need to develop we are a country which is what we are doing as of now you are the future of the country and to run the country any organization it would be a school, NGO, social service organization tax and education even neon organization you need doers you do not need only people who would be sitting here about what is happening they should be writing what is going on what is going on so we want people who are doers because leadership is all about doing something and these defense sectors are not going to be good for years oh it is not main, you know it is like that because it is great but you have to pay for it so we need to get into these things because the first of the important for us we have the organization we have the research, we have the knowledge so we tend to maybe get into the loop of being cynical more often than we possibly and in today's age and stage it is important that we have a freedom of expression but we also need to know how much of freedom and how do we get this freedom and how do we do this something maybe few generations back leadership is to ask me as you leadership are saying telling you that it is all about doing the second thing that you need to understand in any kind of leadership context is you got to know where the national boards are you have to understand how difficult it is to organize smaller people's functions and here we are talking of almost running big organization as we can be right so we have to know how does that particular thing function and to come for that particular thing to function if you ask me what is being my life in principle and the you know kind of a life house only sometimes it is a big problem the day you understand what I am trying to say there is nobody bigger than the organization that it is sometimes it is a big problem sometimes it is a major problem so as long as you understand this that you got to be a good soldier you don't have to join the army air force, henry police should be a good soldier soldier is the end of my life you have to be a soldier for the organization and you go for it today if you are always a student you are going to be a good soldier for the school tomorrow when you pass a degree you are going to go to college you are going to be a good soldier for that college and then it could be NME or Laws or Nagya join NMC or join Tata you are going to be a good soldier but once you decide that profession it is that particular organization that you need to be a good soldier and you are going to be a good soldier first and then you can decide whether you want to be a good soldier or whether you want to be honest or be honest or whatever it could be so follow the shift is more important and just follow sometimes it is also healthy it is also nice to just see quiet and listen because that is not only standing up this feeling but it is also sitting down listening to what the other guys say and today Dhala Pula and raising your voices and what you see on TV people think that good debate means you are a great soldier half the time you don't know what somebody is trying to say so always remember I close my eyes and maybe came on a question or so but always remember you are always stuck you are always stuck as if you are right and you must always listen as if the other person is right if you can pick this thing in your life you will find that you can serve how many different people you will come and really respect you for your communication skills the way you can direct to people the way you make them impact and finally we are here in the soon to make an impact your purpose is to learn something from the soon make your foundation so that tomorrow you can be an impact on the world that is our dream that is what we need one of you to see in the absolute same hands you guys are great we are one nation we are next we have all these people in the world we are absolute trust in the world never let anybody tell you millions of people that has been my experience and I can tell you one thing because of my international experience as much as we may like to we have all our projections to the world and we have a lot of debate on that and what we know and what we don't know you take any Indian across the world and specifically if he goes from India the competition here is so so much then only the best will go so whenever you go to an international conference, attendance whenever you are going to attend any interaction with any international community my advice to you, my suggestion to you and my confidence to you is don't ever think there is something lacking in you look into the eye of the other guy and tell what you think about your country what you think about an issue and let me tell you it is the right one okay what did I do so some day I looked at the man to remind me again and tell you what are why secret masala bossa I call it I am a masala bossa practice every household is a masala but every dal that guy is different in every house because we have different masalas so I am a masala bossa one thing if you are asking what I do I will just sum it up and say something like you are going to have 5 in a day the most important thing is you are going to have 5 in a day and if you leave and go home and meet your friends why 5 in a day and not write these words and the whole thing happens here the whole fire is here that is why you are alive as such so to answer your question if you have 5 in a day nothing is impossible thank you very much I am Rahat


So, welcome to our International Relations Roundtable International Librarian's Reception. We are very happy to have you here. It has been an amazing conference in San Francisco so far, I will say. I watched part of the parade yesterday, and the joy at the parade yesterday was wonderful. I really enjoyed it. We've had some amazing weather, I know. So, thanks Louise for the San Francisco weather. No, but really, we are here to celebrate our International Librarians, and that is you. So, thank you for coming. And this would not be possible without the work of so many people, this event. I would like to thank Athena, Michael, and the Reception Committee. I would like to thank Deline Guerra and Michael Dowling of the ALA International Relations Office. And of course, Luis Herrera and many of the San Francisco Public Library staff, Tony and Michael. I'd like to give a welcome to our distinguished guest tonight. We have library commissioners with us, Zoe Dunning, Dr. Mary Wardell, Giro Duzzi, and John Lee. It's John Lee here. I'd like to thank the friends of the San Francisco Public Library for their generous support and sponsorship, including the Board President, Mikiko Huang, and Acting Executive Director, Deborah Doyle. Our special guests as well, Ivan Pazin, Vice Council General of the Russian Federation, and his wife Anna Pazin, Dr. K. J. Shirinivasa, Deputy Council General of India, and last but not least, Tibusé Lugo, Acting General Counsel of Venezuela. We are of course so pleased to have Courtney Young here, our ALA President tonight. She is a huge supporter of IRRT, and she herself is a member. So we may be calling on her in future years. Athena will introduce her further and the awards that she's going to be giving out. So this event is really a culmination of all of the IRRT activities at annual. And for me personally, it's the culmination of a year of being Chair of the Roundtable, but also my 10 years of involvement in the Roundtable. So I thank everyone for their support in this room that I know has done good work for international librarianship. So welcome again, finally, enjoy, and please spark new connections. That is why we do this, okay? So Athena? Good evening. On behalf of the IRRT Reception Committee, I warmly welcome you to this evening's award event to celebrate the ALA Presidential Citations for Innovative Library Projects for 2015. This prestigious award was spearheaded under the direction of Dr. Lorraine Roy, ALA President in 2007-2008. In addition to this award, the Humphrey Award supported by John Ames Humphrey OCLC Forest Press and the Bogle Pratt International Library Travel Fund will be presented this evening. These awards reflect IRRT's steadfast mission to promote interest in library issues and librarianship worldwide. I would like to begin by acknowledging the following librarians who have contributed to ensuring the success of this event. First, City Librarian Luis Herrera, who without hesitation graciously offered this spectacular venue, as well as the creative idea to partner with ALA's caucuses and Deputy City Librarian Michael Lambert and Special Projects Manager Tony Bernardi for shepherding the reception process with great attention to detail. Also the numerous staff members of the San Francisco Public Library, including the Affinity Center staff and performers. This collaboration is a testament to Mr. Herrera's extraordinary leadership. Second, ALA Program Officer Delynn Guerrera, IRRT Chair Robin Keer. John Hickock, Vice Chair-Chair-Elect, and Joan Weeks, former IRRT Chair. Your endless support throughout the process was invaluable. Finally, a heartfelt thanks to an extraordinary IRRT reception committee. Paul Coleman, Carla Ellard, Hannah Farmer, Lisa Hitchcliffe, Ramana Ristova, Dr. Yang, Liana Giuliano, Emery Ortiz, Emma Roblow, and Cindy Singer. Please give a second round of applause to them for their dedication to our profession. And now it is a great honor to begin the awards for the ALA Presidential Citations for Innovation Library Projects for 2015. The recipients were selected by a team of IRRT members in consultation with ALA President Courtney L. Young, a member of IRRT, and a strong supporter of our Midwinter Program. And yes too, we all welcome you for next year to help us. Please welcome President Young as she presents the awards. Good evening. It's an honor to be here with you. And it's been wonderful to meet a number of you at some international conferences. Number of, met some of you at IFLA. I've actually come to some of your countries and met you there in your libraries. And it's a pleasure to welcome you here to this conference and to continue the conversations and building those relationships, as Robin has already told us that we must do. But for now it is my pleasure to present these awards. The American Library Association presents this Presidential Citation for Ininnovative International Library Projects to the Establishment of Taiwan Resource Global Promotion of Chinese Studies of the Center for Chinese Studies National Central Library, Taiwan ROC. For establishing the Taiwan Resource Center for Chinese Studies that provides a point-to-point customized service model for the library community, for sharing academic resources globally in the field of Chinese Studies, and for promoting international exchange and cultural understanding between Chinese Studies institutions and libraries worldwide and in supporting the Chinese teaching and research programs. The American Library Association presents this Presidential Citation for Innovative International Library Projects to the Outreach Worker Service and to Digital Library as a core service in the Edmonton Public Library, Edmonton, Alberta, Canada. For initiating the Outreach Worker Service that plays social workers in the main library and branch locations to transform community needs and to deliver traditional library service to at-risk individuals. And for championing digital literacy as a core library service and providing staff with training and support to build their digital literacy skills including establishing digital makerspace environments. The American Library Association presents this Presidential Citation for Innovative International Library Projects to the Science and Technology, Academic and Research-Based, Openly Operated Kiosk Station, Starbucks, Projects Science and Technology Information Institute of the Department of Science and Technology, Philippines. For promoting science and technology information in the Philippines through the establishment of the Science and Technology, Academic and Research-Based, Openly Operated Kiosk Station, Starbucks Information Access Portals. And for making science and technology materials from the Science and Technology Information Institute Library available to the general public, particularly in those remote areas that have few information materials, no libraries, and little to no internet connectivity. The American Library Association presents this Presidential Citation for Innovative International Library Projects to the National Library Board Mobile Application Project. National Library Board, Singapore, for expanding the utility of mobile communication devices and library security systems through clever programming and adaptation. For providing library patrons with a personalized, contextualized book-brawing experience that seamlessly integrates physical resources and digital services. Thank you, Courtney. And congratulations, again, to all the winners. On a personal note, I am thrilled to welcome Committee Chair Tess Tovan, who will be presenting the Humphrey Award to Jane Miranda, the founder of the Hester J. Hodgin Libraries for all programs. I had the opportunity to witness firsthand Jane's pioneering spirit to foster sustainable librarianship in Central America while working with her to develop training programs in 2005 and 2007. Tess? Many of you in the audience do know Jane, and you're very familiar with her work throughout Central America, so I'm very delighted to present this award to her today. It's the John Ames Humphrey OCLC Forest Press Award. It's presented to Jane Mirandette in recognition of significant contributions to international librarianship by the American Library Association International Relations Committee. Please welcome Committee Chair Dorothy Terry for the Bogle Pratt International Library Travel Fund. My name is Sally Zhang. I'm the chairperson of LA International Relations Committee's Bogle Pratt International Library Travel Grant. This year, Dorothy is the recipient this year. This year we are very pleased to present this travel grant $1,000 cash to Dorothy Terry for her first international conference. Dorothy is an instructional and digital initiative librarian at Morgan State University in Baltimore, Maryland. The Bogle Memorial Fund and Pratt Institute School Library Information Science will provide $1,000 cash for her to attend her first international conference, Cape Town, South Africa. This award is a recognition of Sarah Comley-Norris Bogle, a prominent U.S. librarian who made a notable contribution to children's librarianship, international library services, and library education. Thank you. Dorothy is not here tonight, but we'll be sure to make a mail check to her, so she will attend her conference. Thank you. And this evening's presentations will conclude with an update on the current status of IRT's Endowment Campaign by IRT Endowment Committee members Jeanette Pierce, Susan Schnurr, and Charlie Zhang. Good evening. Charlie and Susan, and I are so glad to be here with all of you this evening. And as many of you know, we are all long-term members and fans of IRT, and we're not going to tell you how long. So we're also all former chairs of IRT. And as such, we know a lot about the enthusiasm and the dedication of IRT members for creating opportunities for all of us to participate in the global advancement of the profession by connecting with our colleagues from around the world. As we approached IRT's 60th anniversary in 2009, we were really excited to announce that Jordan Skopansky and Lee Wells would lead an effort to create an IRRT, an endowment for ALA. That successful campaign raised over $25,000, and the endowment has now grown to around $34,000. However, as some of you may be aware, ALA has set a new minimum for endowments, and we need to reach $50,000 for our endowment to become a permanent asset for IRRT. To raise additional funds, we have a new IRRT Global Leaders Campaign. Many of you saw our flash kickoff letter sent prior to this conference, and 18 of us responded by helping to raise almost $3,500 in just a few weeks. So thank you to everybody who contributed to that campaign, and who has contributed to the IRRT endowment campaign in the past. And we hope that many of you will consider contributing to the endowment sometime later this year. Small and large amounts are more than welcome, and they all make a big difference for that. If you wish to make a donation this evening, you, of course, may see any of us, or Dylene, and we'll be happy to talk with you. So thank you all for being here at the conference, for contributing your global perspective to the 2015 ALA annual conference, and we wish you all a very wonderful evening and great travels home. Okay. Thank you all for your attention. This concludes our short presentation tonight, so please enjoy. Have a drink, enjoy the library some more, and thank you for coming.


Thank you, Martina and hello to everyone. It's really nice to be a part of this conference and thank you for inviting me Martina to speak more on copyright considerations and 3D printing. And with that, I'm going to go ahead and just let you know that none of the information that I share today is intended to be legal advice. Please consult with an attorney or if you work at a cultural institution where you have in-house counsel. Please connect with them regarding any questions regarding copyright and 3D printing. The ideas and the information that I share today is my own. All right, and I with that I'm going to share my screen and okay. I'm hoping everyone can see this. It looks great. Great. All right, so 3D printing just as an overview 3D printing touches on all three major areas of intellectual property law. I should also make a note that I'm specifically going to be speaking about intellectual property and copyright as it is governed here in the United States. It is important to be aware that copyright laws do vary depending on the jurisdiction of the country. So within the US, one of the three major areas, the three major areas of intellectual property law are trademark copyright and patent. We have what is an identifying mark like a name logo or slogan that allows consumers to connect to a good to a good or a service to its source. Copyright is the legal right held by the creator of an original work. This right arises immediately after an original tangible work is created and this is the area that we're going to focus on because copyright is really the analogous to to artwork in the creation of original art. And patent provides legal rights to the owner of an invention or mechanism that prevents any other person from manufacturing using or selling or importing the product substance or process under patent protection. And just as a side note, most recently, I know there was a dispute that arose in Italy during the height of the pandemic there where I think local engineers had created a recreated a breathing valve designed for a medical device and digitally printed it with a 3D printer without permission of the patent holder and patent holder was a company in the United States and so this really raised a lot of issues around and also potentially ethical concerns about enforcing intellectual property rights during a medical emergency. It also showed how easy it is for for anyone to possibly infringe on intellectual property rights owned by another via the use of 3D printers. So as I mentioned today we're going to focus on copyright as one of the tenements of intellectual property law. And you know the rules around copyright and 3D printing in the United States are governed by the current laws of copyright, namely the Copyright Act of 1976, as well as the digital millennium copyright Act of 1998 which governs more of the online copyright use and both both the statutes both laws are very important within the context of museums and cultural institutions, because of the nature of the work and reproducing images reproducing original art, which is really a right that is exclusive to the copyright holder. And so, because museums seek to reproduce artwork images, often for their various exhibitions and programming, we are then creating derivative works as part of those artworks and in a lot of ways 3D printing can be viewed in the same way. When we take an image of an artwork, it's more of a two dimensional image, but with 3D printing, we can now create these 3D printed reproductions. But it's important to note that the laws don't really change and that the current laws that we have are are are pertinent to 3D printing as well. It's also true that there's not a lot of case law in the area of 3D printing. Maybe because it's a relatively new technology for the mainstream I know that 3D printing first started probably as far back as the 80s. But as far as coming into the mainstream realm, it's still fairly new technology that maybe use in a more mainstreamed way and so we haven't had too many legal case laws, or legal disputes on the other hand, however, there is one that I'd like to highlight and this was the Penrose Triangle takedown notice. And so just for a little bit of background, the Penrose Triangle was a design created by a Swedish graphic artist named Oscar Reutersvard, who created this optical illusion in the 1930s. And then in 2011, a design file was posted onto Thingiverse, which is a lot on online site that allows users to post their designs for 3D printed objects. In 2011, a designer named Ulrich Schwanitz wanted to send a copyright takedown notice to Thingiverse claiming to be the owner of the copyright in the 3D printed version of the object, claiming that the design files and fringe on his copyright. You know, essentially, there was kind of a public outcry and Schwanitz relented and offered his digital file of the Penrose Triangle into the public domain. And so I raised this because it's always an interesting question of whether taking a reproducing an original design or a work, an object, when we think of photographing an artwork, when we create that copy or that derivative work. So are there any underlying work or rights that the reproducer then has so in context of 3D printing. If we take a design and create a digital code in order to create a 3D printed object. Does that designer of the code now have intellectual property rights in the creation of that 3D file. So these are still a lot of matters that are very much in a great area. They often will hinge on the severability doctrine, which basically the courts will look to see if there's anything unique. Is there any unique identifying mark to the copy that would give it some originality or is it merely just an exact copy of the original. And I think this also applies when we look at the museum or cultural institutional use of 3D objects. There is in the United States we have the doctrine of fair use and fair use. I'm not going to get into it too much because it's a conversation all in its own but it was also codified in the Copyright Act of 1976. There's a four part test to to fair use one being the purpose evaluating the purpose and character of the use to looking at the nature of the copyright copyrighted work. Three looking into the amount and substantiality of the portion taken and for the effect of the use upon the potential market. And so that's what is often used to evaluate a fair use case. If it goes through the courts and you know fair use often comes up for museums as well in the event that we are, you know, if a rights holder comes with question about why a museum reproduce a certain object. It may be able to argue fair use. It's a very gray area of the law, and it's often very dependent on a case by case basis. At this point in time, it's to my knowledge it's not widely known if museums or cultural institutions are using 3D printers as a tool to document conserve or exhibit artworks, apart from works that are created by artists using 3D printing as their medium, or in a specific case where an artist has bestowed through the acquisition process, the digital file in which to create the 3D printed object. So I'm going to talk a little bit about the advantages and best practices of 3D printing. There are lots of advantages to to the use of this technology, and one coming from a conservation point of view, it would allow for greater study of an object or of an artwork. So understand that 3D printing can be used as a tool in exhibition design, thinking maquettes I know oftentimes when an exhibition is being organized, it is very helpful to see a smaller version of the exhibition, as it would be installed using a tiny tool like this and 3D printing could be a great tool for being able to envision the exhibition design on a smaller scale. And then also one of the advantages of 3D printing is that it could bring life to older objects in the collection and particularly those in the public domain. While I was doing some of my research I was reading about how many artists are using 3D printing as part of their tools and as part of their medium. And I came across this quote from these are designers named Rob and Nick Carter in London. And they said they created sculptures through 3D printing that were inspired by centuries old paintings, for example, Sunflowers after Vincent van Gogh. And according to them they said they wanted to bring old masterworks to life to marvel at Dutch golden age realism and share in that culture's delight of nature. It became our ambition to create a body of work that rewarded viewers for the extra time spent looking through the introduction of new and interesting elements. We want to slow down the viewer draw them in and make them read examine the work and relook at a painting. And so, when you think of 3D printed works I think it's, it's great for for collections that do have a lot of objects that are no longer rights protected or are in the public domain. So 3D printing can be a really great tool to use in recreating reproducing these artworks in a way that can further create more engagement to audiences, maybe even provide opportunities for for more tactile engagement. Often times in museums. Perhaps it's a bit of human nature but there is often this desire to touch and hold objects, and 3D printing might be able, maybe a really great tool to address some of those desires to touch and feel an object, particularly of those works that are no longer rights protected. And so I'm going to now pivot a little bit to best practices. When seeking to and using 3D printed technology in collections I thought Peter did a wonderful job of discussing the pre acquisition conversations and pre acquisition questions that can often come up. When a museum is acquiring a work or an object that is 3D printed or uses 3D printed materials. I think it's very important from a rights point of view to communicate if the artist is living. It's really great to to have those conversations directly with the artist so that the museum can really understand further how how to conserve and how to steward these objects. It's very important also to state your reasons. What are the benefits to the museum. If the object or if the artist has also bestowed the digital file to the museum as part of the acquisition. Really understanding what that enables the museum to do and how the museum can further preserve and conserve the work into into the future and in perpetuity. As far as language in agreements. It really does depend on a case by case basis. However, there is language that can be included into agreements that provides kind of broad usage and Once some of that language in agreements and I quote could be could be written as the artist here by grants to whatever the name of the acquiring body is a worldwide perpetual royalty free and irrevocable license to copy use a form display or otherwise create images or recordings of the final work without restrictions and this is the key in whole or in part in any media whether now known or here after device and so that language really gives a very broad use and a very broad interpretation in terms of how how the museum or how the acquiring body may use and reproduce the work or the license that is obtained when acquiring the work. Now, of course the rights holder could take issue with some of the language there maybe place a little bit more restrictions around what media whether now known or here after device actually means but you know it is one way in order to kind of provide a catch all for current technologies and technologies that may be made and created in the future, and the museum will be able to reproduce or have a license to reproduce the, the, the object that has been acquired using these new technologies that are with us currently and the technologies to come. Lastly, I'm going to touch a little bit more on artists and 3d printing. So here we have an image of the artist surely sees work negotiated differences. And as part of this work the artist use 3d printing use 3d printed materials and the creation of the work and in particularly the joints that connect the pieces together so if you looking at this image you can see that there's kind of these joints that connect these objects together. And it's my understanding that the artist also applied a creative commons license to the digital file for these these joints. And this enabled users to reproduce these materials provided that they adhere to the license created by the author. And so that's also another point that is very important to make is that with creative commons I think creative commons is a really wonderful tool and platform for users to share content without, you know, the current copyright restrictions, or to set their own parameters around usage. However, it's very important that when using or using content from creative commons that you pay particular attention to the structure of the license that the author has set on that object or on that image. A common license that you see associated a common a common creative commons license that you see associated with 3d printing is the CC BY NC and D and what that means is that if you are to use or reproduce this object. The license request that you provide attribution as well as that you not use it for that it's used for a non commercial purpose. So that it's not used and then reproduce or distributed for sale. And then that there are no derivatives of the artwork so in some cases there are restrictions that could come with using creative commons licenses it's it's not necessarily that it's a free for all that you can you find an object or an image or a code on a creative commons license that you can just do whatever you wish, but there are some parameters that a rights holder can set. And so depending on the type of use users can go and reprint the joints that surely see used in her piece negotiated differences provided that they abide by this creative commons license that the artist has set around usage. And with that, I am going to stop.


Yo, let's get everyone, Nick Smith, is back! NBA Draft, let's get into this! Let's get into the NBA Draft, this is a new, a new like... I don't know, it looks different. It's just the, uh, the customization or whatever. It's just a different, different screen to what I'm used to seeing. How do we do this? Oh! Wait, so you can, okay, the draft hasn't even started, but we can, we can start making trades already. First of all, this guy has to go. This guy, Norman Powell, let me show you his contract. It is... On a team option. I mean, we can decline his option, but I might as well just trade him anyway. So I'll trade Norman Powell. Two second round picks, I'm gonna take that. Ooh, actually, I'll take this one. I'll go for a... They're both second round picks. Any mini-money moe, catch a tigger by the toe, if it holds, let it go. Any mini-money moe, moe means no, I'll take this one. I'll take pick ten of second round. I mean, let's just see if we can keep trading up. All right, there, that's the original trade. So, let's start the NBA draft. The Utah Jazz will select, with the number one overall pick, Al Bryan. But I guess I'll make this go quickly. And if a trade offer gets... You know, I'll just do some editing. And if anything comes up, then I'll let you know. If not, then I'll skip to the end of the draft. Actually, K is the MJ of this draft. Wow. Okay. How do you make this go quicker? Oh, you can press triangle. Right. I got it now.  There's been a trade. The Knicks first round pick and Galanari for Brooke Lopez and a 2017 Lakers pick. Well, they must not... They must not know that we're gonna be good by 2017. So, the Wizards are making trades out here for pick 14. And... Not even gonna say that guy. And they get this guy. 6-11, 2-50. Carlo Quinn and Channing Fry for the Cavaliers 25th overall pick and Sasha. Oh, Andrew Bogut gets traded to the Clippers. He had fights against the Clippers. I've seen him in a fight with Blake Griffin. So that's kind of funny. Whoa. You ever see 23 trade offers for your Knicks pick? Would you like to view them? Yes, I would actually. No, thank you. No, thank you. No, thank you. No, thank you. No, thank you. No, thank you. No, thank you. No, thank you. Ah, none of these trades are very good. You know what? Let's actually draft someone. Let's end the comments. Let's draft someone. I've never draft anyone in the second round. This guy is seven foot two. They're all like seven feet tall. Damn. But he's the tallest. He's the tallest out of all of them. Yeah. Let's get Randall Harmon. Number 37, Pierre goes to the Lakers. Virginia Tech, seven foot two Randall Harmon. So that's the end of the draft. The power forward seems like the power forward position seems to be pretty heavy in this draft class. Four out of the top five players are power forwards, which is pretty crazy.  And he's secondary position is a power forward. So pretty much these guys are all power forwards. Wow. I'll just sign him for that little money, but I don't think he's making it on to the roster. Team slash player options. Going to accept all the depot. Morrow. 3.5 million dollars. I'll accept Morrow. Definitely accepting Randall. Holis Thompson. I won't accept. I didn't really play very well with Holis Thompson and he didn't really get many minutes. I will accept Bruno Caboclo though, but Wiggins accepted. Damn. I wanted Wiggins so badly. Let's advance though. Qualifying offers. Myers Leonard. I'll accept him. Why not? And my free agents. Kobe Bryant. Damn. Okay. One new contract of 12 million, almost 38 million for Kobe can be a player option and he can have a no trade clause. What do you say to that? Off a contract. He'll take this into consideration. You know when I have made up my mind. Okay. Double G. Gerald Green. He's playing really well to start out of the year for the Miami Heat. I like that. I like 5 million a year for Gerald Green. Okay. Give him some time to mull this one over. You know, he's a player that might get traded, but as of now, 2 year, 8 million. That's quite cheap actually. Let's get into this. First day of free agency. I'm pumped and I'll tell you what makes me even more excited. Seeing that LeBron James Dwayne Wade, Miami, Miami thing right there. That just gets me excited man. As a Heat fan, I kind of like that right there. I'm sad that LeBron left, but what can you do going back to his hometown? This man Kobe Bryant, you have to sign Kobe Bryant. So let's accept that 9 million for one year.  This is crazy to me. I have a chance to get LeBron James again. I'm not going to do it. I just can't do it. All right. I know some of you guys in this comment section are going to be like, how in the world are you not going to resign LeBron? I mean not resign, but how are you not going to go after LeBron? I've done it before. I've got LeBron in other my GM series. I'm not going to do it again. I'm going to do it for all the realistic guys. And I'm going to try and get somebody else that isn't LeBron. Not going to get Wade as a Heat fan. I just don't really want Wade because I want him to sign with the Heat. I mean, this free agency is not that great. But what I plan to do, I guess, is sign some players which then I can trade later for somebody else. So I plan to sign a whole bunch of players and then trade those players for Andrew Wiggins. That's what I plan to do. So let's sign Hassan White's side, negotiate a contract, and then trade, maybe trade Hassan White's head or keep him on the squad. We do have Boogie Customs though. So that's the reason why I don't really want Hassan White's side. And he's just here for trade bait. I'll try and sign him for three year, twenty six million dollars. He's going to try and take that into consideration. That's all good. I'll Jefferson. I'll negotiate a contract with you. And I just want to sign you just so I can trade you later on. That's the only reason why I want to sign you. But he doesn't know that. So and the thing is I'm signing all these good centers. But I don't plan to play with them because we have Boogie Customs. Maybe one of them will keep. You never know. He doesn't want to do that. So let's do twenty twenty one point five mil and he'll take that into consideration. We'll try and sign Tristan Thompson. Yeah, we'll try and we'll try and sign Tristan Thompson, which then maybe we can unless it depends how much he wants. And Tristan Thompson might be a guy that we just keep on this on the team. Twenty four million dollars for three years. I'll give you twenty. Yeah, I'll give you twenty for three years. And he'll take that into consideration. The Lakers. This is what the Lakers have been trying to do for the last couple of years. Just signed guys on contracts and J.R. Smith. The Cavs seem to be breaking up. The Cleveland Cavaliers seem to be breaking up. LeBron's here. Timothy Moskov, Tristan Thompson, J.R. Smith. Oh, Matthew Delvedova. All right. So J.R. Smith, let's offer him a contract. I like J.R. Smith. Come off the bench. Maybe maybe you can do some work for us. Two year thirty million dollars. We'll give you two year. Two year nine million. I know it's a bit low, but we'll just see what you say. Ten point five seven. Okay, he'll take that into consideration. So let's skip over. Let's advance to the next day. See who signed or who doesn't. LeBron Wade is there. That's crazy to me. The big two. Where's where's Bosch? Where's the big three? Okay, we didn't get out, Jefferson. No. I should have signed these guys. I should have signed these guys to more money. Damn it. Because they were going to be my trade bait. They were going to be my trade bait. You know, I would just sign either one of them really. Because you never know, they might both decline. So, um, two year thirteen point eight four year. I'll just give you, I'll just give you that because I don't want to go and not get. I just want to, you know, get some players on this team just so I can trade them away of contract. All right. So this is what I want the love to be. D'Angelo, Kobe, Wiggins, Randall DeMarcus. That is a nice team. Let's advance to the next day. Myles Leonard is prepared to accept an offer from the wizard you will be giving. You will be given the opportunity to match the contract. JR Smith. I'll sign Deng. I'll sign the two mile sign three year twelve million. I'll sign my Leonard Tristan Thompson decides to sign with the Indiana Pacers. Please Joe Green offered you a contract. I want you to come back and join this team. Larry Sanders. You have some high value in 2k just because it's 2k you have high value offer the contract. I think Joe Green. Okay. We get Larry Sanders. Is Joe Green not here? Gerald Green. Why did you have to leave me? Now, what is my team looking like? Front offers. Let's all pie position. Point guard. Wait a second. We have a lot of centers, by the way. We can run my Leonard. Actually, no, this guy. He's not even going to be in our team. Um. Kobe is going to be. I don't. Okay. We need a backup point guard. In fact, uh, Jordan Clarkson, I signed you. Didn't I? Well, at least I tried to. Maybe you just didn't want to sign back with us. Good. Jordan Clarkson and I can't believe Joe Green left us. Man, we don't really need an hour shooting guard. So I'm not going to go after. I mean Terrence Ross 85 shot three and he has a crazy dunk. I already know about Terrence Ross. Let's negotiate a contract. We'll give you a 10 million dollar deal. Five million for two years. We signed a few players that are like you. So I don't know. I don't mind you not signing with us and we have anybody coming to us. It takes a long time to save. Okay, we got Jordan Clarkson accepting and everyone that I try and go for. I can't sign trade back. All right. So pretty much that's that's been free agency right here. It's been a weird free agency. Like none of the guys I really wanted. I got I wanted her some white side, but I didn't really want them. I wanted guys so that I could trade them, but man, my owner is not happy at the moment, but at least we signed a few guys play progression. Kobe obviously went down because it's old. The markets went down in the three point shot, but he went up in standing layup. Why is the markets going down in a lot of categories defense is going up in. That's great. Um, but yeah, I'm I'm kind of happy with with who we got only because then I can trade them later on. Um, summer league. This should be exciting build manually. Your team will need a complete roster of 13 players in order to enter the summer league. What would you like to do? Build manually. I can get all these guys in. Well, that's cool and I can obviously let's get trade burq. Let's get Maheemi. Let's get Henderson. Let's get Cadwell Pope. Bismarck. The umbo is Ray McCallum. I like this team Randall Russell Clarkson burq. Henderson, Maheemi Pope. Yeah, this team is nice. It's like a young pretty cool team. I want to see how hot how this guy plays. We drafted him in the second round.  I'm not sure we get to play. Y'all, that is dope. So I'm going to end the episode here. If you want to see the next episode where we play up against the Hornets on the Hornets, play up against the Pelicans in the summer league, leave a like, subscribe if you're new. If we can reach 500 likes, I'm going to face up against the Pelicans in the next episode. Speed of Hornet Smith. I'm out. Peace. That's dope, man. I like to play in the summer league. I'm out. Peace.


Hi, it's Dr. Mike Diamonds and today I'll be talking to you guys about isopep-0 and what's the ideal post-workout protein shake to build lean muscle tissue. Now isopep-0 is comprised of whey and pure hydrolyzed protein which provides premium protein peptide fractions to be able to repair and grow your fatigue muscles post-workout. In each scoop of isopep-0 it contains 25 grams of protein and 5.7 grams of branch chain amino acids providing the essential building blocks necessary to drive that protein synthesis especially post-workout for repair and growth. Thinking it can't get any better per serving it also has zero grams of sugar and almost zero grams of fats and carbs to allow your body to quickly absorb and utilize those peptide fractions to be able to repair and grow that lean muscle tissue. On top of that my favorite flavors which are unmatched goes with chocolate peanut butter first followed by chocolate decadence and finally vanilla. You can't go wrong with any of those three but I highly recommend it. You will only see for yourself when you've tried it out give it a go isopep-0 go for chocolate peanut butter it's the best buy for me.