All right. Good morning some trainers. Let me get a little chat back. If everybody can hear loud and clear. Good to see you all. All right. All right. Good morning, everybody. All right. Good, good, good. Everyone on YouTube, Facebook Live. Good to see you all. What happened? Everyone lost the excitement. What's going on with all the GameStop now?  What's happening with GameStop? What's happening with Silver now? You know, I was out with a couple of friends of them. They were talking about, you know, I mean, obviously, I was pretty popular, believe it or not. Everybody wanted to ask me, oh, Fausta, what's going on? Remember, like last week, my phone was blowing up, even when I do my meetings, those Twitter and stuff. So I told you guys this last time. Okay. I told you this last week. Do you really think GameStop's worth $400? Do you think it was even worth $100? Do you even think it worths $50? Okay. It was just a matter of time it was going to come down. So the thing is, you have to understand is that I told you about the options, right? Well, the problem with the options, I know a lot of the straight options that they're, that their options are very, very expensive. But it was hard to get the options like, like getting a short off GameStop is like almost impossible. No broker is going to give it to you. All right. There's just no shares out there. But a way to get around that is you could short of the options.  You're probably looking pretty good. But one of my friends, he did best a lot. You know, it cost him a lot of money to get an option off. And he's a big options trader and he actually got it. He did get it. So the thing is you have to look at is that not all the time do you have to look at it where you miss the opportunity going up because we all know we'll be being here whenever it goes up comes down twice as fast. All right. And this is not, this is not basically, you know, nothing new to us. We do this all the time. You're like, really? They're like, yeah, we do it all the time. This is like, this is like normal practice here at cyber trading. This is what we trade every day in the trading room. I mean, yes, there was an anomaly, you know, of seeing something go up this high. I mean, we saw it. I joke around with it with Kodak. But, you know, we did see a Kodak. We see a lot of the stocks, but listen, they're all coming down. AMC, you know, listen, is AMC, I was saying like, the place is not even open. It's not even open. You really think AMC is worth $20? You think it was worth even $13? Okay. So they're all taking hits right now. EXPR is another one. You could see them going down the list. They're all starting to come back to reality. What else we got? KOS, KOSS. Let me tell you something. The KOSS, my brother traded it. He called me up and, you know, he was very nice. He took me out to dinner. Okay. He paid for me, but my family went off for dinner. But this stock right here, he bought it at, I think it was, I think it was like 75 and it ran to like 100. And it was a huge iceberg going out there for $50,000.  My phone kept ringing. He said, what's the stock doing? What's the stock doing? And he had like, yeah, a lot. They had a lot of shares of it too. And he made a killing on it. I'm like, get out of it, get out of it. And it hit, it came back. It hit, it came back. Hit, it came back. Sure enough, boom. You know what? If he didn't get out of that stock, he would have been destroyed. Destroyed. All right? But you're talking somebody, you know, that could afford it. But one thing you have to understand as a trader because I know we have a lot of people that are beginners and, you know, a lot of beginners here and people like getting, you know, getting a little nervous, like jumping in certain stocks. There's a lot of stocks that day we trade. You don't have to trade these stocks to hit it out of the park.  Okay? What you do here is you get back up and you keep fighting, you know? And the thing is you don't need to go crazy on these stocks. Like listen, I'm the first one to admit it. I didn't, I stayed far away from these stocks because I knew you were playing with fire here. Okay? And someone's going to get burned and someone got really burned. So, you know, I traded some of them, but I wasn't like all over this. I have other things. Remember today it was starting Phase 3. So, hopefully we'll see you in Phase 3 where we're going to trade live with me for all my students. We're going to find these stocks and so on. It's the last phase of all the courses that we do here at Cyber Trading. And you see it's all about risk to reward. It's not about going out there and trading something just to trade it.  That's where it comes down to it. But I'm just going to go down the list. Bobby J, BBY. You can see them all coming back down to reality. American Airlines. I think I heard something that the CEO, a lot of employees, the CEO sold American Airlines. And all of a sudden, they're up in arms raising their hands like, that's not right. You know that the owners, the CEOs and the people on the board allowed to sell American Airlines. Do you really think they thought that their stock was worth $20? I mean, do you really, really think that they went to what would it go up to? Yeah. I mean, when it went to 26, I mean, they really think it was worth that? No. They're like, you know what I'm saying? Like, does that make them a bad person? You know what I mean?  And all of a sudden something happened on your block. I had this conversation with somebody the other day.   If they didn't get mad at you, you sold for $5 million? Because you know what? You love your house, you got a million because you know it's not worth it. That's all. This doesn't make you a bad person. Makes you smart. That's what it makes you. So don't let people think that I know as much as everybody hates what's going on with all these stocks and what's happening. I've learned to teach you guys don't get even. Don't get angry. Just know how to play the game and you'll enjoy this job for the rest of your life. Anyway, let's go through the watch list because there are a lot of stocks that are on my watch list. I know there was a couple of stocks also that made some really, really space on the other hand. This thing is just an animal. Look at this thing. This is one that we traded yesterday. Space is doing great. So I love that stock. You know what's so funny? I bought that stock for my little nephews and nieces. I threw it away. They don't know because they're only like five and three. But I said, you know what, I'm going to buy this stock for them. I put it in their account. Now I'm freaking out because it's going up too fast. Remember, we also do some swing trades here than day trades. How did your plowing go? Yes, Tony. Tony, I basically got a new ATV and I was out there until about 10 o'clock at night. Just driving around, whipping around, cleaning. I just had a field day. Everybody's like, oh, thank you, neighbor. I'm like, don't be more than welcome. That's the beauty of it. I literally did like probably about maybe 15, 20 houses just going out there and just pushing things. Just being a nice neighbor. So everybody's like, oh, can I pay you? I said, yeah, you can pay me. I work for snacks. I told them. So anyway, let's go through the watch list. There's a couple of stocks here I want to look at. I want to start off with A-E-Z-S. So here's a stock that's gapped up pretty nicely. It's about 47% right now. It is a penny stock. You know, I'm not a who's got to say this, but you got to be really careful with these things. Very dangerous stocks. But once they break over a dollar, at least I'm not dealing with a fraction of a penny, but this stock obviously it's moving kind of flat. It's making a little higher highs. There's a lot of iceberg orders on it. It's okay. We'll keep an eye on that one. MBRX is another one that made my radar. This stock took a very big hit the last couple of days and all of a sudden, boom, came right back up. It's starting to trend down. It is up a lot. It's up 60%. But it's a trade 12 million shares. It doesn't have any algo in it, which is pretty good. We're going to check out that one too. The S-A-V-A. Yeah, that one was pretty cool. But she's got some good support levels here. You see you got some decent iceberg orders. You got about 13,000 share buyer out there. He just pulled his order, actually. He's at 40. Looks like he lowered it. But it's got some good orders. It doesn't have any algos like some of the other stocks. DRRX, another one that looks pretty decent, up 38%. Very good spread from the looks of it. It looks like a good beginner stock. So some of you are new trading that a little nervous and a little deer in the headlights.  This might be something a little bit more controllable, a little bit more friendly. You don't really know too much until it opens up. But from what we've learned in phase one, lesson one, what we teach you, remember the three T's, tradeable trend and trap. The first stock, the first thing you always learn is tradeable. You can see it is kind of a little bit tradeable right now. So it opens up. A couple of other stocks, a little bit on the faster moving, but Bingo! What's going on with Bingo? This stock, we had so much fun with this stock lately. This stock, if you look at it, it was literally like 50 cents, right? Look at it, it's at $13. You see like, when you think GameStop, what's wrong with Bingo? At least you know you're dealing with a real company that obviously is doing well. All right? But since December, this thing has not stopped. It's going to be testing higher highs right now, but all-time highs. Really nice stock. I know a lot of you guys traded this morning in the trading room. You could see that, it was at $11, around $8.15. Stock had a nice run. It's around that time, around the 9am. So it's got a big buyer right there. It's holding up pretty strong there at $12.50. So you can see right there, it's been holding up a lot of big orders out there. $7,000, $18,000, $10,000 you could see on the right-hand side. So nice, nice order. You got a nice $20,000 share seller sitting over there at $12.90. Fun stock to trade. We did really, really good with this stock. All right? Well, the stocks I want you to keep an eye on. A couple of brand name stocks like Ford and GM, they're all doing pretty well. I know the market's up pretty well, but we also do some swing trades. Ford's doing good. Pinterest is doing good.  Stock is young. I know they're coming out with earnings. Google's coming out earnings today. Who else is coming out? Amazon's coming out with earnings. Could you believe Chipotle? I mean, those millennials, man, it was a $1,500 stock. Man, that's coming out of earnings too. I just can't, Chipotle? Really? Really? Chipotle? $1,500? Seriously? Look, it was a joke when they had the what was it?  It was getting sick and the stock went from like $800 to $400 or $300 drop. I mean, now it's $1,500. Chipotle, really? That's when you learn that it doesn't matter what you think. If you really want to short a stock, you really think it's not worth it, go do that on Chipotle and when it happened, you got crushed. That's why you can't think you know something about the market. But anyway, that one's doing well. DraftKing DRFK Oops, type it wrong. Why? I got the wrong window clicked over here. Where is it? There it is. But DraftKing is also doing typing in the wrong window.  Pretty well. Another stock that's been a good swing trade. Hopefully everybody's been keeping an eye on that. On that stock. I know we've done really well when the stock took a little bit of a hit right there. So anyway, a couple of good stocks on the swing trade are doing pretty well. A couple of the stocks also that are going to be focused on day trading today. MBRX Got that one. AEZS Another one we already know about. Yeah, that one. Oh, that one was on the I wrote on two lists. Sorry about that guys. A-R-E-C That's the other one right there. Nice little push right there. Nice little trend. A lot of you remember we trade this in October when we're from $1.50 to $5. It's got, it does a little shake and it pops. Does a little shake and it pops. That one's doing okay. We're going to keep an eye on that one too. Nice orders on it. No algorithms. I don't see on that one. U-U-U. Another one that we traded that did really well. 8 to 18. Now it's up about 10. Be very, very careful of the stock though. If you did your notes properly that we teach you how to take notes on it. The stock did really well but you've got to remember on the shakes. SAVA is the other one right there. That one's moving awesome. Stock just came out with news. You could tell just at 9 a.m. boom. We're from 28 up to 33. This stock is obviously doing really well. I mean, scientists must be a good pharmaceutical drug. All right. So, a little, here's one I want to bring up. SRNT. SRNT just to get to show you what happened to me. To me it looks like a stock split. I don't think the stock is down. Is it? Whoever was it's not sure not looking too well but let's keep an eye on this one too because this one's getting like ouch. It looks like a stock split but I don't know who's checking the news on that one. Anyway, anything I'm missing I did not call out. Lee says what about H-O-L? Nice push. Nice trend. Great volume. 8.2 million shares. Stock is breaking an all-time high. I'm going to put that one. Definitely going to put that on the watch list. H-O-L. And Michael is saying A-R-E-C. Another nice little stock right there. It just came up on the radar. We have that up there. I'm looking at it. I just want to be really careful on the support level. Be careful of those big buyers out there right around 3.20 on that Michael. Anybody else? Anybody else anything out there? Listen, today is Tuesday. Mondays and Fridays were very difficult. I got a little beat up yesterday on silver. I tried to jump on silver a little bit. Good thing I got out of it. And I'm not embarrassed to say it, but if you can't admit that you're wrong you basically are a cocky individual. Just be careful when you see that. But like silver I tried to buy yesterday thinking it was going to be the next biggest thing. I own silver coins for the longest time. But if you look right here I tried to trade in pre-market. I lost. I bought it back. I lost again. And then I have something that's called the three-strikes-your-out rule. So anyway they did move. I did well on posh yesterday. You can see that one had a really nice move from 29 up to 40. But listen, good thing I got out of it because if I didn't I would have been crushed. So I made my money back on this one. I lost on the PASV. I actually went a little bit heavier on the other one. But it looks like this whole thing is going to dry up a little soon. But remember this is its own market. And plus not only that it's kind of hard to trade ETFs. People always ask me do you trade ETFs? I'm like you know what ETFs are very difficult to trade. Because it's hard to see the ECN orders out there and all the high frequencies the dark pools, all those algos very hard to see it in those. Couple of you just bring up a couple of stocks over here. I've got one on YouTube says ARTL Nice stock, nice trend you know got a nice little push right here. Why didn't I put this on my watch list? I think it was the algos on this stock. She should not really go anywhere. I think that was one of the big things. But we'll put it on the B list. We'll put it on the B list. Anything else? Anything I'm missing? I&O from Debra I&O was a really nice movie yesterday Debra and they were on YouTube. We did well on it but right now it's kind of flat line. It's up a little bit it's up to the last couple of days literally up almost 100% from where it started from its rally. But just be very careful the stock we traded yesterday it's got very small tier sizes it's very difficult to get in and out of it ARTL is the number 2 on the gainers AM list it's actually number 1 now you can see it right there it just made first but it's not really going anywhere Bonnie that's the only reason why alright guys so let's get ready for class if you're watching YouTube Facebook Live you want to come and join the trading room just like us, friend us do a 9 dollar trial join us for a week everybody in the cybergroup room like I said you see something you say something you could be in both rooms if you want to in the trading room and in class but once again please focus on class because remember we gotta learn to stop losing because you can't fix that how do you expect it to succeed and keep winning alright so I'll see you all there thanks everybody and everyone else will be back here at 2.30 for the afternoon meeting


Namaste. In the previous session we learnt how to use transfer learning in the context of convolutional neural network. In this session we will use TF.hub which is a way to share pre-trained model components with the community. We will use pre-trained models from TF.hub and use them for feature extraction as well as fine tuning. In this session we will learn how to use tensorflow hub with tf.keras api, how to do image classification using tensorflow hub and how to do a simple transfer learning. Let us begin. Import will import all the necessary libraries, install tensorflow 2.0 and import tensorflow. Note that we are installing tensorflow GPU. Since we are training a CNN on images which runs faster on GPU, we are using GPU as a hardware accelerator for this collab. For tensorflow hub we import tensorflow underscore hub library and also import layers from the keras tensorflow.keras library. Next we download the classifier from tf.hub. We use hub.module to load a mobile net and tf.keras.layers.lambda to wrap it using a keras layer. So, this is a URL for the classifier, the mobile net on tensorflow hub. We define the shape of the image which is 224 by 224 and we define a sequential model with the hub layer. If we run this particular model on a single image, let us see what we get. So, we load here we download the image using tf.keras.util.get file and resize the image by the image shape. You can see the input image. The input tensor or the input image is a colored image with 3 channels and has height and width of 224 each. We know that CNNs take 4D tensor. So, we add a batch dimension and pass the image to the model. So, the result of the classifier is a 2D tensor which has thousand elements corresponding to logits rating the probability of each class for the image. The top class id can be found using argmax. You can see that the class id for the input image is 653. In order to get the text representation of the class, we download the image net labels file and use it to decode the name of the class. So, you can see that the prediction which was id 653 corresponds to military uniform. We can use tf hub to retrain the top layer of the model to recognize the classes in our data set. Let us download a flower data set and demonstrate transfer learning with tf hub. We load the data into our model using image data generator which you can see here and we pass the rescaling parameter to it. The TensorFlow Hub's image modules expect a float input between 0 to 1. Hence, we rescale the input image. We also resize the image to the desired shape. We can look at the shape of image batch and the label batch. The image batch is a 4D tensor each having 32 images with height and width of 224 and 3 channels. So, for each image we have a vector of size 5. So, the flower data set has 5 classes and each class is represented in one hot encoding. Let us run the classifier on the image batch. Note that currently the classifier only contains the Keras layer from hub. If we apply the classifier on the image batch, we get a 2D tensor shape 32 comma 1001. TensorFlow Hub distributes model without a top classification layer. This can be used for transfer learning. So, we create a feature extractor as a Keras layer with the input shape of 224 cross 224 cross 3. It returns a 1280 length vector. The feature batch is a 2D tensor. So, for every image we have 1280 length vector. We freeze the variable in the feature extraction layer so that the training only modifies the new classifier layer. So, we attach a new classifier layer to the model. The new classifier layer has units equal to the number of classes in the images and we use softmax as an activation function. So, since we have 5 different classes the dense layer outputs 5 probabilities 1 corresponding to each class. So, the number of parameter for Keras layer is equal to the number of parameters in the mobile net. Mobile net has 2.2 million parameters and the dense layer has 1280 inputs so for every unit we have these 1280 parameters corresponding to each of the input plus 1 bias. So, there are 1281 parameters per unit and we have 5 units making it to 64105 parameters. So, we can see that the total parameters are some of the parameters in the Keras layer and the parameters in the dense layer. Out of these total parameters the parameters in the Keras layer are non-trainable whereas the parameters in the dense layer are trainable. Let us compile the model since we have 5 classes we use categorical cross entropy loss we use Adam as an optimizer. Let us fit the model we will fit the model just for 2 epochs and to visualize the training progress we use a custom callback to log the loss and accuracy of each batch individually instead of epoch average. We also compute steps per epoch and define a collect batch stats callback. We use the callback in the fit and the steps per epoch computed over here. You can see that after 2 steps we reached an accuracy close to 94 percent. If you look at the training accuracy by the steps you can see that it is increasing as we progress further in the training. Let us get the prediction for the image batch and plot the results. If the model prediction is correct we use a green color and we use and we use red color if the predictions are incorrect. Now you can see that most of the prediction most of the predictions are correct. Now that the model is trained we can export it as a saved model so that we can use it for deployment on some other device or we can also reload it for the future use. After saving the model we reload it and we check whether the results from reloaded results from the reloaded model and the earlier model matches that we do by taking the difference between the results. So, in this session we looked at TF Hub and understood how to use the models saved in TF Hub for transfer learning on CNS. Hope you had fun learning these concepts. See you in the next class. Than you all.


The Cube presents HPE Discover 2022, brought to you by HPE. Okay, we're back to wrap up HPE Discover 2022. The Cube's continuous coverage is day three, John Furrier, Dave Vellante. We had a business friend that we met during the pandemic. A really interesting gentleman, Norm Follett. He's the director of Global Technical Marketing at Hewlett Packard Enterprise, a real innovator. Norm, great to see you. Thanks for making time for coming on The Cube. Gentlemen, thank you, thank you. I appreciate that you're giving me the opportunity to bring it home. Yeah, sure. If I'm only going to get one shot at it, it might as well be the last. We always like to bring the energy in the last segment because, you know, The Cube, we grind it out for three days. I mean, it's just such a great content injection. And so we love to wrap it up, especially with someone like yourself who can really help us convey the themes. But even more so, when we look around here, this entire ecosystem, you and your team built this. And so take us through that. Well, we did, you know, and it takes a village. You know, we have the core team, HPE Global Technical Marketing, which is my team. And then of course we're partnered with other parts of our marketing organizations on different pieces, different aspects.  You know, we also have another group called Promote Live. And we bring all these people together. And in addition, all the vendors, we have something like 380 employees that come from all different parts of the organization to land in Las Vegas, to man these booths and staff these exhibits. And so for one week, we get to really work as a team, as a family.  Everybody has, you know, different objectives and different things that they're focused on, but we get a chance to all get together and work as one team. And so that the people aspect is what's so exciting. I think this week and I think I even saw some of your broadcasts earlier. So I think it kind of came through as well, just the joy of being together, you know, human beings. And HPE's got a new spring in its step, which is so much focus brought to the table from Antonio and the team is the lining. Yeah, we do. And that's, you know, when we start talking about the design and, you know, one of the things that, you know, we work on this months ahead of time, right? And so it's kind of like a spinning top. You know, we keep spinning that thing tightening up and then this week you put it on the table and you just let it go, right? But it's that whole multi-month process of twisting that top around and getting it going. And right at the middle and right at the centerpiece and the core design principle and an ask from Antonio is that we make sure that we major on HPE GreenLake Edge to Cloud Platform.  We've been talking about it all week. It's a big focus of our company. And so right at the very center, we have our HPE GreenLake Edge to Cloud Platform demonstration. And then everything in the showcase then radiates from that centerpiece, you know, right at the nexus of all the activities. So the experience starts there and propagates its way. Well, I want to get into some of the themes and the set pieces you have here. You are in technical marketing and this platform is a tech play. So it's not so much just solutions that you're enabling. The theme this year is very much technical marketing. So there's Edge, first of all, Cloud data and Edge is the big themes. Security's baked in throughout the whole set as well in that messaging. But it's technical marketing right now. We had, you know, the platform play. Uli Packard is a platform. Uli Packard Enterprise is a platform. It is, it's a software platform. It really completes a cloud strategy. And when you really think about it, again, I know some of these numbers have been floating around, but you know, 70% of all data is still staying on-prem for good reasons. You know, and then 30% of it can be out there in the public cloud. So what you kind of have is an incomplete cloud strategy, if you will. And what's happened is that organizations have gotten spoiled a little bit by the cloud experience, right? That, you know, your dev team say, go, hey, I just, I want to work in Azure. I want to work in AWS. I love how I go through this process. Why can't I do that with my on-prem stuff? You know, I want that kind of experience. So IT organizations are really being challenged about how to create that kind of service and that experience to their customers because expectations are high. Yeah, because data, it has to be inclusive. It can't be exclusive to just one part of the organization. Yeah, I mean. So how did you, how did that impact?  Right. A lot of work goes into it. What was some of the impact to the execution of this event that you can share in terms of the set pieces, some of the displays? Was there, was there, not we'll say radical, because it's not radical. It looks, it turned out great. But what are some of the popular things happening here? What worked? What resonated with customers and what was different from, that GreenLake enabled you to do differently? Well, I mean, first, the first thing is that we kind of had a high touch experience at that center point, right? That nexus, the hub of the activity, the GreenLake Edge to Cloud platform demonstration. And it started with us just kind of, you know, having the strategy about, first of all, if you, if you guys show this, and I think maybe you have, when you enter in, we've got like this big aha moment, right? And that aha moment is that platform, right in the center, surrounded with wonderful visuals above, below, you know, behind, all around it. But we had to think about, okay, now I'm staring at this thing. What am I, how am I going to experience it? So, when I say a high touch experience, we start with what I call a platform generalist that would greet you upfront, engage in the conversation.  He's got some keen interests. He has some sort of peripheral idea about what the HPE GreenLake Edge Cloud Platform is about. But what can it really do for him? You know, what can he use, how can he use it? So we start at that level of conversation, you know, socialize the core services, the attributes, you know, the technology that is actually enabling it.  How do the networking services play into that? And so for then we take that big leap and go up two steps up onto the platform and we go over to the network specialist, what I'm calling a platform specialist who understands all the things about the platform, but then is peaked in networking and we have that conversation. And you see how the Aruba customer can benefit by this evolution and how the different platform services combine to give a holistic experience across a company. And so when I'm an IT ops director and I'm trying to service my network guys, my storage guys, my compute guys, my external cloud services guys, that this is an environment that I can So you have an experience where they come in, they can easily move to a point quickly in the display on the platform. And it's tailored for that. Exactly, right? That's the... Exactly right. And so if I transition over to you and you're my specialist, you're not saying, hey, Dave, what brings you here today? I mean, you're pre-qualified, it's a pre-qualified conversation, we jump into it. And then that specialist is armed with knowledge as to where, okay, this guy is really interested in switching technology and switches as well. Well, that's demo 512. Let me have one of my colleagues take you over there. So then you're escorted over to demo 512 to go to the next level, or perhaps, and this has happened throughout the week, that people want to take a test drive of the environment. And so we have the HPE GreenLake Living Lab and we have a test drive environment right there.  We have a series of exercises that you're taken through. And I think I've just checked with one of my colleagues where like well over, well over 1,100 experiences of people doing that here. And that lab has 25 seats. But also externally, so right off of HPE.com, that same test drive experience that we're doing here, people can launch at home. And so we got in this morning, there were like four guys logged in from New Zealand doing exercises, which is pretty neat. So when you asked me the question, what are the design considerations that HPE GreenLake that we baked in and thought through, it's again that, hey, it's a big thing. Yeah, it's an experience. Let's start with you just digesting the basic concepts. Then let's talk about your persona and how it directly maps to what you can do. And then if you want to get deeper, we have the solutions that we designed behind that, solution demos. And if you want to drive it, buckle up, let's go. Yeah, you get right to a spot, multiple monitors, great experience, high touch. That's awesome. I got to ask you another question because you've been pre-pandemic, you've been doing a lot of this technical marketing and events and then virtual hit. Now we're back face-to-face. It's clear, Dave and I were just talking about on our opening day here on day one, people love to see each other back. Every event we've been through, face-to-face, people are energized to a level we didn't even see. What are you seeing here in terms of performance?  Belly to belly. Belly to belly, as Dave says. That's a positive. What's it like, explain what it's like. Well, I mean, you never know what you got until it's gone. Right? And so people didn't really realize that, hey, we really needed to have this kind of touch and this kind of activity. And it was funny because people, before the pandemic, there was also a push to do a lot of virtual stuff. Economies of scale, some of that stuff works, teams are making decisions, but then it all goes away and people realize how valuable, just the conversations were, meeting somebody. Relationships. Meeting somebody for a coffee, talking through different, bumping in to colleagues that you haven't seen for years or you worked with somebody and now they're doing this. And then you realize you have some sort of synergy with each other and you can still help each other. And just the discovery of being at Discover and running into these different types of things. Well, you think about it Norm. You know, we've done plenty of stuff virtually, but I think we've talked maybe four times this week. I've seen you here, walking around the hallways. We saw you last night, right?  Yeah, I mean, not at all. And during that virtual era, and I think we'll look back on that and we're still going to do virtual stuff. And we're learning. I mean, it's got value, but I just want to thank you guys for just being the cube and the whole team, you know, Frank, everybody, just tremendous partners through that because you can still look at that content that we produced together last year and it's still relevant. We're still sharing it. It still has impact. We point, you know, we tell people, hey, here's a call to action. You're leaving this cover. By the way, there's these three or four pieces out on the cube that really go at this topic, right? That GreenLake event we did last year was phenomenal. It was, it was, and it was a partnership with you guys and I, you know, I speak on behalf of many of my colleagues here at HPE. We just want to thank the cube for all the support, creativity and how we got through that all together.  When John and I first met you, we were like, hey, this guy actually, you're going to push us to some new levels.  Well, thank you. And so you helped us, you know, up our game. Yeah, thanks a lot. Yeah, you know, Frank was getting, hey Frank, Dave, can you guys do this? Yeah, we were on the back. I mean, but we were growing and surviving and thriving together and getting through it. But what's coming out the other side now is a new format. You mentioned virtual. That's not going away. Hybrid is a steady state for all of us, even the cube. So the new protocols and the new standards are emerging. I think the newness of it scares people. Also like, how do you do it? Whose role is it to take the virtual and digital? So this whole new set of experiences still coming out. What's your vision? How do you see this? Because face-to-face clearly is what everyone wants. From school kids to adults, we want face-to-face. How does digital fit in? Well, I mean, that's a really tricky question. I'll give you a kind of back-in of the answer a little bit. You guys can see this, right behind us. We have this whole backdrop here. Greetings from the edge of virtual reality experience. Well, we built that. We built that during the COVID era so we could have experiences with people remotely, right? And we use it for executive summit, last year for the virtual discovery. We shipped those Oculus headsets to everybody. Everybody jumped into it.  So we were in cyberspace together, right? And so, of course, being good business people, we realized, hey, this is pretty fun, so let's dust it off and bring it out here for the more general public. So again, it was like a 200-person executive-level experience and all of that, but it had tremendous value, different types of experiences. I recommend you try it if you ever have the opportunity. So that's a way that we started merging virtual reality and digital experiences to try to keep that human connection, but now we're using it again and everybody's in these little pod rooms, six of them together, so they're having this experience in cyberspace and they're having it physically. And so I think some, and everyone's enjoying being together and still in cyberspace together. So I think when we start to build assets and we start to look at different types of things and experiences, we got to think through that now, right? How is this investment or this experience, how's it going to translate outside of these four walls? And how can we use it outside of these four walls and create a more engaging experience? So that's a little bit of a backing into that answer, but I think I'm- It's emerging, it's emerging. Well, I'm saying it more as an example of us thinking through and trying to leverage this. Yeah, I love it though. I mean, you've always been a struck me as a visionary and I loved that answer and I can just see, it's just going to progress by the end of the decade. This is going to become a normal sort of practice and we're going to bring people in from the outside and interacting. I love what you were saying about, even though we're here physically, we're actually creating a virtual world within this physical pod, where can people discover more about that? About the show, about the content that was here? Well, on hpe.com, you can just launch it and discover. We have a tremendous amount of content that's been recorded, keynotes, sponsors, sessions, the cube, they're dialed in, all kinds of different pieces of assets that we've done. I'll plug just another couple of things just again to talk about the connectivity of things that we're doing. So one of the projects that I lead, and very proud to lead it, is HPE Spaceborne and our Spaceborne computer. Spaceborne computer to flying the most powerful machine, computer to ever fly in space. We've been up there for a year, we've done 24 different experiments over the year for the benefit of the entire scientific community. Also doing things for the ISS National Lab and NASA, our partners up there. But what we've got is we've built a scale replica of the Columbus module, right? So this is a 28 by 12 foot module. Hey, we're bringing her home, seriously. They're going to pull the plug on me soon, right? So anyway, so we have that module built, right? And this is, we work with a Hollywood production company. We've had it before, but we've customized it. We have a live link to the ISS station in there. And so we're talking about everything that we're doing there. But also in this virtual reality experience, we have you going on a spacewalk, right? And so we've captured that as well. So we're tying this physical and virtual experience together. And so it's a fun project. So you can check that out. We did exascale together during the pandemic. And that's when I first really got into Spaceborne. It was awesome to see Frontier announced actually breaking through the exascale barrier. We were on the cusp, but we now see it breaking through. So congratulations on that. Thank you very much. And you know, a couple other things that we're doing that's pretty exciting. I don't want to give away all my tricks, but we've organized our demonstrations through the customer lenses. So we have these customer journeys that we see people that are using our technology. So I'm not talking about the storage business unit or the networking business unit, but how are our customers really trying to advance AI and machine learning, for example? How are they actually trying to protect their data? The different things. The business issues. The business issues. And so we've organized our demos through that. We have these pods and then satellites, and you walk through that whole thing and it's addressing different aspects of that. And then another thing that we've done is we have tours here as well, because there's so much content that people can take tours. And you know, 1400 people have taken those tours. You know, and these are guided tours, headsets, curated designated places to go. And we see big traffic the first day or so and by design. And so we hit the highlights and then they decide how to use their valuable time later in the showcase about what they want to deep dive on. And so that's been a tremendous success for us. Well, Norm, thanks for bringing us on the tour of Discover. Yeah, well. And really, you know, sharing that with our audience. And you've been an awesome partner and as I say, a great innovator. I can't wait to see what's next. All right. Well done. Thanks so much. Hey, thanks for letting me on here. Welcome to our pleasure. I'm somebody. I made it.   I made it. So guys, that's a wrap on day three. Dave Vellante, John Furrier for Lisa Martin. Don't forget to go to siliconango.com where we've got all the news, all the interviews that we've done this week, get written up and posted on siliconango.com, thecube.net. I publish every week my breaking analysis on wikibon.com. It's on a podcast, so check that out. Thanks to everybody. Thanks to the crew, everybody back at the office. Really appreciate it. Great job. And we'll see you next time. All right.


What is a circuit breaker? A circuit breaker is a safety device that interrupts the flow of electricity in an electrical circuit. The purpose of a circuit breaker is to prevent damage from overload or short circuit. There are two main types of circuit breakers. 1. Thermal magnetic circuit breakers. 2. Solid states circuit breakers. Thermal magnetic circuit breakers use a combination of heat and magnetic force to trip the breaker, while solid state circuit breakers use semiconductor devices to detect an overload or short circuit, and then interrupt the flow of electricity. Lastly, circuit breakers are typically installed in household and commercial buildings, as well as in industrial and utility applications. Overcurrent. Overcurrent is a condition of an electrical circuit when it exceeds the maximum current allowed. As a result, too much current is flowing through the circuit. This can lead to fires, damage to the conductor insulation, and equipment damage. Overcurrent can be caused by a number of things, such as short circuit, overload, ground fault or arc. Due to the potential damage caused by an overcurrent, it's important to shut off the power to the affected circuit as soon as possible. Overload. An overload happens when equipment is operating in excess of its normal full load rating. When this is sustained over a long period of time, it causes overheating and damage. An overload can be caused by a number of things, for example an overloaded circuit, or faulty appliances. Overloads can cause damage to electrical components and pose a fire hazard, so it's important to shut off the power to the affected circuit as soon as possible. Short circuit. A short circuit is caused when an overcurrent extremely exceeds the recommended full load current of the circuit. As the name suggests, a short circuit is when the current travels along an unintended path, taking a short cut around the load and then back to the power source. As a result, this leads to an excessive current flowing through the circuit. A short circuit can be caused by a loose wire, damaged appliances, or an overloaded circuit. Why do circuit breakers commonly trip? There are a few reasons why circuit breakers commonly trip, such as 1. Overloaded circuits. Too many devices drawing power from the same circuit can cause it to overload and trip. 2. Short circuits. A direct connection between the hot and neutral wires of an electrical circuit can cause it to overheat and trip. 3. Ground faults. When the hot wire of an electrical circuit comes into contact with the ground, it can cause the circuit to trip. 4. Appliance failures. A faulty appliance can cause a circuit to trip. If your circuit breaker trips frequently, it's important to have an electrician check your wiring to ensure everything is up to code and to identify any potential problems. How do circuit breakers work? Circuit breakers work by detecting when an electrical circuit is overloaded or has a short circuit. When this occurs, the circuit breaker trips and interrupts the flow of electricity. This prevents damage to the electrical circuit by preventing further current from flowing. What are the benefits of using a circuit breaker? Circuit breakers offer a number of benefits over other types of electrical safety devices, such as fuses. Circuit breakers can be reset after they trip, while fuses must be replaced. Furthermore, circuit breakers also provide protection against both overloads and short circuits, while fuses only provide protection against overloads. Additionally, circuit breakers can be used in a variety of applications, such as household, commercial, industrial, and utility applications. Circuit breakers versus fuses. Fuses and circuit breakers are both designed to protect electrical circuits from overloads, but they work in different ways. Fuses work by blowing or interrupting the flow of electricity when they sense an overload, while circuit breakers simply shut off the current when they sense an overload. Circuit breakers can be reset after they trip, while fuses must be replaced. For further assistance or a free survey, please email or call on the details below, and click like and subscribe if you have enjoyed this video.


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A lot of people ask, why do I need a living trust? What a will do. Think of a living trust as the mothership of your estate plan. The living trust can control so much in your life. It protects your assets, it protects your family. It takes care of spouses if they're incapacitated or someone's passed away. It makes sure that things flow down to your loved ones in an organized way. In fact, a living trust can even help when families have drug or alcohol issues or they have small children that need protection. If something happens to dad or dad and mom, how are we gonna protect the little kids? The living trust is the key to family protection.


Many of us take great pride in keeping track of the tasks we need or want to do today, this week, or this month. It's easy to get caught up in a list of tasks. They provide us with a sense of accomplishment and direction, but they can also control. To reassert control, ask some questions. What am I tempted to put first today and why? Is it most important? Is it something that makes me feel better because I did it? Is it helping me accomplish the most important thing I need to do today? Maybe a better first question to ask is what is important to me and how can I show what is important through my actions? These questions can help you reclaim your focus, whether it be a task list, emails, webinars, or phone calls. Lead well this week.