In the words of my guy Jeffrey W, the Ravens are on the mission not to overlook any team this year. We learned that lesson from the Titans game. They need to take every team out and never let up. And it starts with the Browns. And you know just what I mean. YouTube team keep it clean. It ain't great. So YouTube team keep it clean. What's going on is engraving here, not just with another video, but with the first preview video for this NFL regular season. We made it, y'all. We really did. Before we get into this, I gotta thank y'all for rocking with us this off season. This off season has been crazy. This has been one of the longest off seasons ever because just so many things have been different. So many things have been restricted. Just, there's been a lot of, just a lot of negativity out there. But now we made it through all of that. We all made it through all of that. And we're here at week one of the regular season. Like we're in week one of the regular season. Of course got the game on Thursday with the Chiefs and the Texans. And then following that on Sunday, everybody else plays. Everybody else plays. And it's like, it's crazy that we made it to the regular season, man. There have been some, sometimes where there was some doubt. Talked to a lot of different people. And me, I was always thinking, no, the show will go on. The show will go on.  But we're here. We made it. And it's time, man. It's time. The Ravens are taking on the Browns at M&T Bank Stadium. And it should be, it should be a good one. It should be a really good one. And real quick, before we get into this game, one last thing I really gotta appreciate. I gotta say I appreciate y'all for rocking with us this entire off season, man. Whether you're new here, whether you're old here, thank you. I'm looking forward to this regular season, but thank you all for just helping team keep it clean, grow, and just being part of the best team, man. Cause it's y'all, man. All this stuff, it's all y'all. Couldn't happen without y'all. Y'all are the best. Thank you for just always being positive. We have a lot of fun on here. Thank you for building up a somewhat of a community. That's all fans of all teams are welcome. No matter who you like, no matter what team you dislike, whatever, everybody's welcome here. Thank you for building up a community of respect. We respect each other on here.  It's all in fun. It's never anything personal, anything like that. We have a good time on here. And that's exactly what it's about. So I appreciate y'all forgetting us here. And thank you just for everything. So now the Browns. The Browns are coming to town. Browns with a new GM, a new head coach, and they trying to get off to a new start. But how did the Ravens stop them from doing that? Well, first off, let me tell y'all how I think this game is gonna go.  The way I think it's gonna go, I think it's gonna be close throughout the first half. I really do. Both teams, they're gonna start getting the little jitters out on what not. But then in the second half, that's when I think the experience is gonna, they're gonna take advantage of their experience. And I think the Ravens are more experienced team than the Browns, more so on defense. But I think the second half is where the Ravens really, they catch that stride and they end up taking off. So in order for that to happen, there gotta be some things that go down first. And that's one, with Baker Mayfield. You gotta force them in to make mistakes, man. And the pass rush is important. Now, one thing with the pass rush, Ravens have, they've made several moves in order to build up their defensive line and try to improve their pass rush. Of course, they brought in Calais Campbell, Derrick Wolfe. They drafted guys like Matt Abooke. They moved Brandon Williams back to Nose Tackle. They franchised Tag Matt Judon. They brought back Pranel McPhee. They brought back Ajija Ward. They brought back Jelly Justin Ellis. So they got some new faces and then they got some people in some old places. But it's a mix of everything. So that pass, that defensive line just should be a lot stronger than it was last year. Now, when it comes to setting the edge, that's why they bring back a guy like Pranel McPhee to help with that. So hopefully he can stay healthy and contribute in that. And Jaylen Ferguson in his second year, hopefully he can take some more steps forward as well. So we'll just see how everything works out. But that's gonna be essential because you have running backs that can go up the middle, but with Brandon Williams and Nose Tackle, I don't really see that happening. But those running backs, both Nick Chubb and Kareem Hunt, they can bounce it to the outside too. They are very dangerous. They can catch passes out of, they can do everything. Nick Chubb and Kareem Hunt can do everything. And Baker Mayfield, if he's facing pressure, he's gonna look for those guys. He's gonna look for those underneath guys. And then that's where Austin Hooper comes into play too. Austin Hooper, their rookie out of FAU and also David Najoku. I know they got like five tight ends on their roster right now. It's crazy because Browns, they got five tight ends. We only got two for now until we end up calling somebody up, whoever that may be. But it's important that the Ravens, they control the middle of the field. It's very important. And when they tackle these guys, whether it be the tight end, whether it be the running backs, whether it be the receivers like Jarvis and Old Bill, one of the, and we saw this in the game that the Browns played the Ravens at M&T Bank last year. It was one of their biggest problems in that game was poor execution. It was poor, poor tackling. Some of the biggest plays in football come from just not wrapping up. Not wrapping up. Some guys try to make arm tackles. Some guys try to just go for the big hit. But sometimes it's just a simple wrap up. It can do oneness. Because a wrap up, you may not even be able to bring the guy down, but you can slow him down. You can stop him till you get help. And that's what needs to be done. They need to wrap these guys up because you don't wanna be trying to make the big play, the big hit. And then the guy ends up breaking off of you. He may end up stumbling a little bit but catching this balance and then breaks off for a long run. We saw that too many times in the game that we played them last year at M&T Bank. And I know we of course played them later on and took care of business and beat them by even more than they beat us by. But still, you gots to wrap up, man. It's extremely important. The secondary. This is DeSean Elliott's first chance at showing, hey, this is why the Ravens, this is why they chose you for this. This is why they chose you for this. I expect him to be flying around the field. I do expect him to make some mistakes too. Let's be real about it. Because he hasn't started yet. He hasn't started in the NFL yet. And this is the NFL, this ain't college no more. These are different concepts. These are just different schemes. Everything is on a higher level in the NFL as compared to a collegiate level game. So DeSean Elliott, it's gonna be some stuff that may throw him off a little bit. He may be out of place. Hopefully not. Hopefully he comes out and is perfect. And we're like, Earl Thomas, who's that guy? But I expect mistakes, I don't really expect mistakes from everybody. Not just the young guys, not just the rookies. I expect mistakes from everybody because they haven't gotten to go up against anybody else. They didn't have any pre-season. This'll be their first real test.  But that's training camp. Those guys are not trying to take your job. Those guys are not trying to take you out. Now you got guys that's trying to take you out. They want to win the division just as bad as you do. They want to win the game just as bad as you do.   And that's, it's not like that in training camp. You going against somebody else. They don't care about what you got going on. They don't care about your team. Yeah, y'all cool off the field or whatever. Y'all boys or whatever, but this, no, that's all out of the window now, baby. So this will be Ravens and Browns first test, first real test, going up against each other. So I expect mistakes from both teams, both of them.  I wouldn't be mad if they did, but, and with the Browns, I don't expect things to get off to such a hot start simply because of what I've been talking about with the Browns all off season with them incorporating a new offense. Now I mean, that doesn't mean that, just because they incorporate a new offense, it doesn't mean that things are gonna be so shaky because you look at the the Paggers last year, they doubt that was Matt LaFleur's his first year as a head coach. And they did pretty good. Got all the way to the NFC championship game. So just because you have a new head coach, it doesn't mean that you cannot be successful. I mean, you look at the Ravens when Hobart first came on board his first year, they went to the FC championship game. So that's possible. But with Baker Mayfield, they, oh boy, you got what the Ravens need to do. One of the biggest things they need to do, interior pressure, interior pressure. That's the name of the game. Because, and this is really with any quarterback that you face but with Baker Mayfield, one thing about him, he can make some throws really quickly. He can make some quick decisions. And but with any quarterback, if you got a good pass rush, which is nice to have, but if you got a good exterior pass rush, you got guys coming from the outside real fast, a quarterback, they can step up. They can sort of sidestep. If like, if it's coming from the left, they can scramble out to the right. If it's coming from the right, they can scramble out to the left, whatever. But if it's coming straight forward, then that's the toughest for quarterbacks to get away from. Because when it's coming straight at you, it's like, whoa, whoa. So Ravens need to make sure Baker Mayfield is doing his, whoa, whoa. But anyway, I'm just excited, man. I'm glad that football is back. I know y'all excited for football to be back. First game of the season, it's Sunday. We got some collabs coming up, so that should be a lot of fun as always. And this, y'all know how it goes, man. Oh, I can't wait. I can't wait, and I know y'all can't either. I know y'all can't. In this game, Lamar Jackson, speaking about the Ravens offense, they're gonna go up against a semi-banged up Cleveland defense. I don't expect greedy Williams to play. It's not official yet, but we'll see. And of course, Grand Delpit, he's out as well. But the rest of them, their failure, well, they did lose the linebacker from Alabama. I cannot think of his name right now, man. The one who injured Nick Chubb, but then he ended up getting injured the next day. I can't think of his name right now. I really can't, wow. But he's out, but they still got Taki Taki. I don't know if Sheldrick Redwine is gonna be starting their safety for them, but they of course have one of the better cornerbacks in the NFL too, and Denzel Ward. So that should be very interesting. So they do still have some playmakers. Of course, Miles Garrett is gonna be here this game. He wasn't there for the last Ravens Browns game in Cleveland. He's gonna make a big impact. Olivier Vernon is gonna be there. So Ronnie Stanley from Jump, man. From Jump, he is gonna get to show, hey, Ronnie Stanley, should the Ravens pay you? I mean, he's already given enough evidence why they should, but this game is going up against Miles Garrett. Oh, that's gonna be a battle. That's gonna be a battle. So the run game, the run game is important, man, because that run game can weigh out a defense, man. And a run game, if you can get that run game going and keep it going, that can dictate a game. Because if they can't stop you running, that can really deflate a defense. It's just that heart, man. Because they'll be like, we just really can't stop these guys running. That's why coaching is so important in every game, too. So I hope they give them a heavy dose of the run game. Ingram, Gus Edwards, J.K. Dobbins, Justice Hill, whoever's gonna be, or just all of them together. I just, and of course, Lamar Jackson, too, give them a heavy dose of the run game, man. Run, block, and run, block, and run, block, and run, block, and run, block, and then, of course, sprinkle that passing game in there, too. Now, I know it's been a lot of talk, a lot of people thinking that the Ravens may get past happy in this one. I know I talked to my guy, Josh, about it a lot, and I just, I hope that they don't. I hope that they don't. I hope they really stick to how things were last year. Do I expect them to be as good of a running team as they were last year? I don't know, but close. And I don't even think that's being like crazy optimistic or anything, but you get Miles Boykin, who's a phenomenal blocker. You get him another year in the same offense, even more comfortable. You get a healthy Hollywood, who then bulked up. And he said he wants to block people, but of course, he wanna catch passes, too.  So you got a good chance at doing what you did last year. Now, you did lose Marciana, so it may not be as good, but it can still be really good. But regardless, I expect the Ravens run that ball. Run that ball. J.K. Dobbins went to what, Ohio State? Show the Browns why they miss watching him on Saturdays. Cause they in Ohio, getting Ohio State. Anyway, in Hollywood, Boykin, Snead, Pro Shadovane, get him involved. I know everybody can't go off, but get him involved, create mismatches. Again, this is where, of course, execution is big, but so is culture. Create mismatches, look for opportunities to get different guys involved in the game. It should be fun, man. This should be a lot of fun. And I really can't wait, man. Team Keep It Clean, I love y'all. I appreciate y'all. Again, I do expect it, like I said, to be close in the first half, but in the second half, I expect the Ravens to take off and come out with a win. Team Keep It Clean, I appreciate y'all. I love y'all. We out.


And still in the news the Ministry of Science and Technology has donated science and technology equipment to schools in Nassarawa state for the promotion of ICT learning, laboratory science studies and in the area of physics, chemistry and biology for students. It is part of the resolve of the ministry to ensure students are well grounded in these academic areas through the ministry program tagged train the trainer initiative. The presentation of the equipment to the state was made by the minister of state Mohammed Abdelahi, who promised to extend the gesture to all the states as well. We intend to target at least two secondary schools, right, states across the federation. So on a final note we also have 10 sets of decks of computers, computer systems with laser jet program M402D printer to be given or donated to governments from the School of K, government special science from the School of K. We actually made this undertaking sometimes back when we visited them and we noticed that they have challenges in ICT. I wonder took a small assessment I said we intervene. The government, the state primary or permanent secretary, thanked the ministry promising that the equipment will be put to good use. The permanent secretary praised the minister for single-handedly sponsoring the training of over 300 students on ICT in the state.


Have you ever heard of the statement, the future is now? Well, this statement cannot be any more accurate, especially in this dispensation where the world is growing fast and a fuller 20, not 40, is labeled as a full forever. As a young person, the outcome of your adulthood is much dependent on the things you put in order today. Hence, in this video, I will share with you 10 ways to prepare for your future even when you are young. 1. Learn to take responsibility for your life. Many young people in care feel they have limited say in the decisions that affect their lives and this can have a knock-off effect on their behavior. Having relinquished responsibility for their actions, they no longer hold themselves accountable for the outcome of any malicious behavior. Well, why not under the control of someone older? It is needful to own your actions. The exceptional people you see in the world today are individuals who understood at a young age that they are more in control of their lives than any other person, knowing that they are responsible for whatever actions they take in life, often sports them to make better choices. 2. Be positive-minded. Do you know that your success in life will come from your thoughts and your ideas can be either negative or positive and only you can control your thinking pattern? A 2003 study conducted by the University of Winsconson revealed negative thinking caused patients to have a weaker response to the flu vaccine, but test subjects with positive thoughts had better immune responses, meaning that they were less likely to fall ill and when they did catch cold or flu, they had less severe symptoms. What this study suggests is that positive thinking does not just increase your success in life. It also affects your physical health in the right way, thus you must make being positive a habit early in life by investing in the future with a spirit of making every day a great day. 3. Make the right friends. Jim Ron said, you are the average of the five people you spend the most time with. And it's entirely true. In today's world, this statement by Jim is even more evident. To meet up with family responsibilities, which results in longer work hours and the rapid growth of social media, has made young people more distant from family members and closer to friends. Unfortunately, this friend may lure you into making decisions and costly mistakes. If you want to be a success, hang around with successful people, you must realize early enough that you don't need to be friends with everybody. Mark towards making friends that will inspire you to be better than being friends with everyone. 4. Be open to learning. American author, Brain Herbert, once remarked, the capacity to learn is a gift. The ability to learn is a skill. The willingness to learn will always be up to you. Knowledge can be attained through reading, paying attention, asking questions, listening to other people's experiences, taking extra courses to stay on top of current developments in your field, community, country, and the world, etc. The internet is packed full of helpful learning resources. However, many young people do not make use of these free resources. Instead, they spend their time on the internet on less informative things. In preparation for the future, young people ought to have an open mind towards learning because the truth is that, when you are open to learning, you are free to grow. 5. Overcome some of your biggest fears. Although everyone has fears, not everyone is bold enough to face their fear. A lot of people, especially young people, will instead run away from their worries. But the truth is, hiding from your fears does not take them out. Instead, it opens you up to be more defeated by them. Have you ever heard the saying, what you fear the most is what comes to you? Your fears will haunt you for your entire life if you don't deal with them. Do you want to go through life being deadly afraid of flying? Do you want the fear of public speaking to control you? Of course not. Take this challenge as head on and early on and overcome them. 6. Ask questions. Although, as an adolescent, you may believe that you know it all. If you want to be a successful adult, it is essential to recognize how little you know. Many people find it embarrassing to ask questions, especially when they are in the midst of other people. However, one fact about life is that, what you don't know, weighs more power than you. And you will never know unless you ask someone who knows. American novelist Thomas Berger once said, The act and science of asking questions is the source of all knowledge. Make learning something new part of your daily routine. Make asking questions one of your strategies for learning. Start at an early age, you will be amazed at how much you will be prepared for the challenges ahead of you throughout your lifetime. 7. Learn to wake up early. Waking up early is tied to better productivity and focus, improved health and tremendous success. Why is it so dang difficult to stop yourself from pressing snooze in the early hours, early to bed, early to rise, makes the body healthy, wealthy and wise? Do you remember this quote by Benjamin Franklin, one of the founding fathers of the United States, which became a rhyme for little children? Well, so many people know this rhyme, but not many people adhere to the recommendation. Many young people find it challenging to get off their couch in the morning. They would stay up late into the night to watch movies and then stay in bed until the late hours of the morning. Many successful individuals you know today have attested to the fact that they wake up early. For example, Tim Cook, Apple CEO, starts his morning at 3.45 a.m. Sally Krochek, CEO and co-founder of Elvis, wakes at 4 a.m. Thus, if you want to attain an excellent level in life, you must learn to wake up early. 8. Make out time for self-care. Self-care is one essential, yet overlooked aspect of life. When you are young, it is quite familiar that you will feel invincible to the extent that you do not consider that some of the activities you partake in are damaging your physical health. The truth is, whatever your age now, in five years, you will be five years older. Your body will react to all the accumulated overstress from five years ago. You can make it five years of getting used to the damaging practice of sitting at a desk all day, or five years of cultivating the energizing and beneficial habit of regular exercise. You can make it to your 40s and 50s diabetic and sickly, or you can make it strong and healthy by eating fewer junk foods and more vegetables now. 9. Learn resilience. Have you ever wondered why it is easy for some people to bounce back from setbacks, while some others never really get a grip of themselves after a tough time? Well, the difference between these two sets of people is resilience. Resilience is their ability to adapt well in the face of hard times. Many young people, when faced with difficulty, tend to give up on the course they are pursuing. They believe that advancement in age is what will make them capable of handling setbacks. This is not always the case. If you want to build a successful legacy in life, you must develop resilience from an early age, start by learning to complete your assignments and other little tasks. Developing discipline credibility with what you are doing, even when the excitement and novelty are worn off, even when it's no longer fun, means resilience. 10. Create a balance in every area of your life. Priorities tend to become even more challenging as you move through life. Many young people tend to focus on one aspect of their lives, forgetting the others. While some focus on religious activities and lose track of happenings in their environment, some of us focus on education and lose their sense of spirituality. Balance is a critical aspect of life. It is the process of carefully managing everything that matters to you in a way that none of them suffers, from career to family, spirituality and even rest. Any young person who aims to be successful in the future must learn to maintain every aspect of their life. As a young person, you must work now to build credibility among your competing priorities, earn what balance feels like and appreciate its gift so you can maintain it into the future and lead a composed life. If you want the best out of life, you must be willing to make the best investments in life and the sooner you make this investment, the better the outcome of your life.


Come and join our program. We are at the very basics of fundamentals. We stress that to our coaches. We are introductory by nature. We are introductory in everything we offer. Skill set does not matter to us. We want to make sure that the games and particularly basketball this summer is explained and taught the right way. We're not about winning and losing. We don't keep a lot of stats here in our program. We want to make sure the child learns the game of basketball from a strong foundational aspect and hopefully we can grow them from that point. It is very unique for the city for our summer summer program. Very few of the other agencies in the county or in the tribe area conduct a summer basketball program. AAU is really big in the summer. But what we do we incorporate some of those AAU programs into a particular league depending on their age. So we're not intermingling a lot of the I want to say the focus groups of basketball with our novice who come and sign up in our agencies in our parks. So they're still getting a good experience. But those AAU teams also get an opportunity to play during the week. Those kids are lost on the opportunity as well. But again it's very unique what we offer. Again we do incorporate some of those AAU groups in with our summer program and it grows every year for us. We finish up baseball probably towards the end of May so we go right into basketball and a lot of those kids kind of stay with us. They sign up in our summer camps and they kind of stay with us during basketball. There are no restrictions in the summertime with the high school kids whether you played high school basketball or not like that. They are in the winter time. Obviously can't play winter basketball with the same tip. They're on the high school team. But in the summertime we accommodate that age group in that 15, 16, 17, 18 year old range that way. We incorporate a drill in skills. A couple of sessions of drills and skills in that as well. And basketball is one of those sessions as well. So basketball is kind of in the middle towards the end of it. We kind of kick it off or end it up with a week of basketball at one of our sites. We normally have some college players, some high school groups come in and help us with that program as well. And it's just an enhancement to the basketball program that we have. So kind of look for the drills and skills program as well.


We are headed into the research headquarters of IBM in Yorktown Heights, New York. I really love this place. IBM Research is home to 3,000 scientists and researchers with laboratories around the world who deeply believe in the power of the scientific method to invent what's next for our company, for our clients, and for society. Over the last couple of decades, I've gotten to visit and engage with the teams at many of the great labs around the world, and what I must confess my bias, I really believe there is no other place like IBM Research. The truth is that technology can be considered any device or process that makes something easier or better or faster. But technology, or what we've come to know as tech, is an often abused word that has many flavors. Some of it is relatively trivial, nothing more than a temporary shiny new object. But then there is tech that is not just hard, but enduring and deep in its implications. This hard tech may be behind the scenes of the highly intuitive user interfaces of our devices, but make no mistake about it. About it, the world would simply stop, and true revolutions in technology would not take place. Every company needs to engage with technology to stay relevant. And today, we are going to talk about what kind of technology company IBM is, and why IBM Research continues to attract some of the brightest minds in the world to tackle the hardest problems in computing. It is a self-selecting group. It is a calling for those that want to take on what looks to be almost impossible. I'm Dario Gil, the director of IBM Research, and I want to take you on a journey into the world of hard tech at IBM. At IBM, we invest in and create the fundamental technologies that power the world of computing. Many of the modern digital technologies that you use today, running businesses, banks, airlines, digital commerce in our devices, originated in innovations created by IBM, many of them right here in this building. It would be impossible to tell the story of computing without IBM. And it would be equally impossible to understand the next computing revolution without the technologies that IBM Research is now pioneering. These innovations don't happen in a vacuum. They are built on hard tech challenges and fundamental materials advancements from the atomic level all the way out to the edge of computing. Quite simply, this is what IBM does and who we are at our core. Hard tech computing is IBM's soul. Now, I'd like to give you all a glimpse of the innovations that we're building that will power computing today and for decades to come. First, we will look about what it takes to push the absolute limits of computing performance. You're going to be the first ones to see the world's first two nanometer node computer chip. Next, we'll check in with our quantum computing team to talk about how we have created machines that calculate as nature does. We will show you the latest advancements in quantum computing hardware and software as we work towards building 1,000 qubit plus machine in the next two years and at the same time make it as easy to program these powerful machines as it is to use today's programming tools. Our next stop will take us deep into the world of languages and AI. We'll see how natural language processing is being applied to not just human language but to the language of our machines, the world of code and to the language of industries such as chemistry. And lastly, we will survey the world's largest computer, the cloud. We'll learn how the future of business will be made possible through a visionary serverless open architecture, aim at making the massively heterogeneous and distributed computers that make up the hybrid cloud ultimately work as if it was a single infinitely powerful computer. It is an exciting journey into our hard tech projects that will change how you think about computing and the coming era of accelerated discovery. Let's get started. We are in Albany, New York at the most advanced collaborative semiconductor research facility in the world. This kind of facility is the products of billions of dollars of investment and over 20 years of dedicated work. It has been built on a highly successful public private model designed to support an ecosystem of world leading semiconductor suppliers and manufacturers. It is where IBM researchers have done some globally altering scientific and technological breakthroughs in nanotech and semiconductor research. Many of you may not know this, but my early research at IBM was in the field of nanotechnology and lithography. You probably have heard about the field of nanotechnology. The field of lithography is a bit more obscure, but it is at the heart of why computing gets better and cheaper decade after decade. Moukesh Kare, one of the most respected leaders in the field of semiconductor research, is going to share how we're building the chips of the future. We're going to get a chance to talk about one of my favorite subjects for hard tech, semiconductors. Maybe we could start by discussing how our chips made. Well, Dario, it may not be immediately obvious, but transistors, the basic unit of computation on a wafer, is printed. Wafers are sawed out of cylinders of pure crystalline silicon, then polished to mirror-like finish. With lithography, we are able to print and ultimately etch billions of transistors onto a wafer with atomic precision. A high-energy laser fires on a microscopic droplet of molten tin and turns it into plasma, emitting extreme ultraviolet light, which then is focused into a beam. We reflect beam of a masked pattern that contains the complex design of the circuitry of the chip we want to print. That pattern of light is then shrunk through an array of atomically precise reflective mirrors, finally casting onto the silicon wafer at a microscopic level. This light exposure burns the pattern into the photoresist, and after it is developed, it forms a relief pattern that can be used to etch the desired structures into the silicon. The wafer gets processed subsequently and cleaned to remove the resist. This process gets repeated layer after layer, as many as a hundred times, and over days and weeks, we get to ultimately create a fully functioning chip with transistor dimensions at a nanometer level. Imagine we're stepping down from our typical field of view by powers of 10. At 10 centimeters, our field of view crops the edges of a device like our phone. We see a printed circuit board as we move down to 1 centimeter, entering the chip and its 50 billion transistors. At a millimeter, we're now roughly to the point at which the industry had scaled 20 years ago, 30 million transistors on a single chip. Stepping down now to 100 microns, we see the largest elements of the integrated circuit. Just beyond the scale in our biology would be at the width of a single strand of human hair. Now at 10 microns, you'll see a portion of the chip with a large array of devices performing core functions of the chip. Passing beyond the nucleus of our cells at 1 micron, we continue to travel down deeper till reaching 10 nanometers, the scale of the very fabric of our makeup. So, Moccas, there's a lot going on in this fab. Tell me about it. We use lithography technology to build the basic device for computation called transistors. Working together with our talented research team and many partners, we have pioneered a new transistor structure. We at IBM call this nanosheet, which has become the foundation for every chip manufacturer's future chip generation. The nanosheet structure is formed by vertically stacking multiple layers of silicon sheet channels around 5 nanometers in thickness, which is about two DNA molecules. In 2015, we were the first to create the world's first 7 nanometer test chip. A few years later, in 2017, we did it again, creating the 5 nanometer test chip where we first introduced the nanosheet technology to the world. And now, I'm very proud and excited to say that we've done it again, creating the world's first 2 nanometer note chip. And we did it right here in this facility. There are almost 10 times more transistors on this wafer than the number of trees in the entire world. Scaling to this 2 nanometer framework will equate to 45% performance improvement over today's 7 nanometer chips using the same amount of power or a 75% power savings at the same performance level. Extraordinary, Mokesh. It's hard to imagine that this technology could get any better, but I'm sure you guys are going to try. Yes, and we like the challenge. These continued technology advances ensure an enduring platform for both our own hardware and systems, but also the entire technology ecosystem. While the commercial availability of 2 nanometer processors is still several years away, the IBM Research Innovation Pipeline gets directly commercialized through our hardware platforms. In fact, IBM's first commercialized 7 nanometer processor, based on our 2015 innovation, will appear later this year in IBM Power 10 based systems. And next, we will show you how these advancements are bolstering the capabilities of our system Z. Our work here underscores the importance of advancing semiconductor chip design and performance across all modern computing architectures. And investing in these innovations is also critical for our partners, such as Intel and Samsung. It is also vital to the secure chip supply chains of industry, from IT to car makers and to the success and security of our nations. Our 2 nanometer breakthrough will create advanced nodes that give hardware designers a more powerful canvas to create specialized tech. 2 nanometers is now the foundation for researchers to explore the future of hardware, including AI hardware, that can drive greater performance across everything we do. But we face a challenge. Today's AI is incredibly power hungry. AI's rapid progress has fueled an insatiable demand for computing power for ever larger neural network models on ever-growing data sets. We have to figure out new methods for running these large AI models on today's most advanced machines sufficiently. In other words, it requires hard tech. IBM fellow Donna Dilenberger has been innovating in systems for years. And it's here to tell us more about what makes system Z such an amazing machine. Hey, Donna, how are you? Good to see you. Hi, Dariel.  So tell us, what makes IBM Z the system so special? Z is known for its speed and its scalability. The Z15 was built with 9.4 billion transistors. With that type of power, we can run open shift workloads at 4.7x higher performance, 4.4x lower latency, with 34% less cost. It also runs 1 trillion transactions a day. It does that with half the energy that other servers require. It's the greenest server in the planet. It also has the highest availability. Z stands for zero downtime. There are clients that have never had an unplanned outage in years. While a Z server is running, you could pull out its memory, its processors, its IO drawers, and it will still run. Yeah, what a marvel of a machine, right, in terms of transaction processing. But what about the world of AI? What can it do for AI? AI could be done in Z with millisecond response time. You have these transactions just being thrown at the server, 20,000, 30,000 transactions a second. No other server could do that and run AI embedded in real time. Well, Donna, the green transactional power of Z combined with AI and security makes it like a marvel of engineering. So I want to thank you, Donna, for the amazing work that you do and that the team does to make the best computer systems in the world. Thank you and see you soon. Thanks, Darryl. The progress being made to advance the performance of classical computing is truly amazing. The two nanometer node chip we explored represents the absolute cutting edge of computing technology and proves that the power of bits continues to be remarkable. The way we are pushing computing to excel in AI workloads will allow pervasive and interconnected intelligent systems to provide extraordinary value. And these advancements are not just science for science sake, but for real business outcomes. It's how our research provides the technological innovation behind IBM's most advanced systems available today. For those of you that may be new to quantum computing, there's a few fundamental concepts that make it remarkably different from classical computing. We're all familiar with the term bits. It's the fundamental unit of information that classical computers use today. We've seen endless representations of this binary system in the string of ones and zeros that people come to think of as data. However, in quantum, the fundamental unit of information is called a quantum bit, or qubit. The basic idea is that this qubit could carry information quantum mechanically, or in other words, the same way that nature carries information. Simply put, a qubit is not bound to a binary system of information like ones and zeros. And that very simple difference is what makes quantum computing so powerful and so complicated. For you to truly appreciate what we've achieved, I'm going to introduce you to two physicists who can tell us more about how we got here. So Jerry, an exciting quantum research lab, tell us what did it take to build the first programmable quantum computer on the cloud in 2016? Yeah, so really in order to be able to get a system on the cloud, it started a lot in labs like this, right? Where we're working on fundamental research and understanding how to make the underlying qubits better, reproducible, reliable, and stable. So we had to work on a lot of things to basically make them to be usable and actually accessible from anyone on the cloud. Now, it's actually very interesting looking back where we are today from even a decade ago. If you take a look right here, this was state of the art in terms of our qubits in 2011. So what happened since then? Okay, so that was a decade ago, then 2016 first computer on the cloud. And then what happened in the last five years? Yeah, so really in the last five years, it's all been about actually deployed real systems. We've deployed over 30 systems since 2016, over 20 systems accessible right now through the IBM cloud, serving 150 clients, over 300,000 users, running over a billion executions a day. Wow, so that is amazing to just see that and just realize that now there's over 20 quantum computers. It's just an amazing progress. So what's next? Yeah, so really now what we're doing is we're building up towards new generations of systems. Last year, we had the 65 qubit machine coming bird. This year, we're gonna have an eagle processor over 127 qubits and moving towards 2023 over a thousand qubits. A thousand qubits, so we're gonna get a chance where that can be built. That's gonna be built in this lab here, but then we're even looking beyond that, right? So we need to look even, how do we go beyond 1,000 qubits? So this is super fridge. Our project really to build a refrigerator that's gonna be large enough to give us runway beyond 1,000 qubits. Yeah, so Jerry, so what are we seeing here? What is this giant thing? So in the other room, we saw that there are actually these dilution refrigeration systems that allow us to cool down our qubits, our quantum processors to 15 milli Kelvin. And, but like, how cold is that? That's many, many times colder than it is outer space, okay? But the point is that in order to actually cool them down, we also have all these other components that are part of it. So there's wires and there's filters and attenuators, all these different components. And as we scale up along that roadmap towards 1,000 and beyond, there's just more and more stuff. And so planning for, say, even up to a million qubits, we need to build bigger refrigeration systems and we're doing that right here. So it is a testament of what it takes to succeed in quantum computing. You have to invest for a long period of time on this sustained roadmap. And it's also a reflection of the theme of today, of talking about hard tech in computing. And I gotta tell you, Jerry, the work that you and the team do, it is the hardest form of tech in computing. And I wanna thank you for all the fabulous work and keep up the great results. We're gonna be now talking to Jay Gambetta about how we are putting quantum to good use. Hey Jay, how are you? Good, good. Just came back from spending some quality time with Jerry and it brought back memories of the launch of the IBM Quantum Experience. And it's a story that is not just about hardware. It's a huge software environment that makes all of this possible and makes quantum computer reality. So first, what was a memory of that time in May, 2016? I think what I learned most and I learned a lot was there's a big difference between doing a science experiment and building a practical system. Yeah, because in the end there's a difference. Once you expose it to that first week, you went from a few dozen people to thousands of people using the system. I mean, and the numbers are now what? Yeah, so as you say, we got up to 7,000 people in the first week and now we're up to around 300,000 users and they're running at least a billion circuits a day. You brought up quantum circuits and sometimes people get confused about what is a circuit. They imagine some physical connecting thing, but circuits, it's a software construct behind these things. What is a quantum circuit? Yeah, a quantum circuit is the fundamental unit for quantum computing. You can think of it as the instructions that can only be done on a quantum computer. It does the marvelous math that makes quantum mechanics possible. We sometimes draw the analogy of MIPS, like the number of instructions per second that you can run on a classical machine, but in quantum world is how many of these circuits can you run on an ongoing basis because some of the math that you get to do there you can only do with quantum computers, but also you got to run a lot of it. So how much do you need to run? So you can think of quantum computing as I need to run like a billion of these circuits. So take this nature paper from 2017 that we did. In this we actually ran around four billion circuits. So let's take a billion circuits as a typical application. And if you think about that, if I need to run a billion circuits and I have to wait a microsecond for it, that means I'm gonna run it in basically 16 hours or so. If I need to run it at a millisecond, it's gonna be about 11.5 days. So now you see how fast I can run these circuits really matters for doing these practical applications. So I think that does not widely appreciate it, right? Any practical application, machine learning or chemistry or optimization that you wanna leverage the power of quantum systems, you're gonna need to run hundreds of millions or a billion quantum circuits iteratively, right? To get to your answer. One of the reasons I really love the superconducting system is the fundamental physics allows us to run these with fast gates, fast reset. In fact, our latest Falcon processor has an update that gives you ability to reset the qubits in less than a microsecond. And you ask for a comparison to INES. INES have done wonderful demonstrations. They keep pushing the fidelity, they're great. But fun at the moment, they're time to cool and get their trap ready. So to get the quantum two-cubic gate to happen takes 100 milliseconds typically. And this is a big challenge for them. They've got some great demonstrations that are showing some ways to get beyond it. But at the moment, it's really, really slow for them to run it. And this is why for a superconducting technology, we can imagine we can run our circuits at a much faster pace. But again, it's milliseconds versus microsecond. There's a factor of a thousand X there. So let's bring it back to an application. You're saying to be able to reproduce state-of-the-art results, so say of a chemistry experiment, but that would be true for machine learning as well. You're talking then down the road of comparing technology that would deliver your result in tens or hundreds of days versus being able to do things in days or hours. That's the difference. This is one of the reasons we like this technology because we can see how we can build a business on it. We can run for the users, maybe thousands of applications per day with all the systems we have, and we can see that we'll be able to get lots of results. Whereas I look at these ions as a great example of a scientific experiment. It gets us to today's announcement, right, of something called the Quiskit runtime. You had set the goal for the team of achieving 100X speedup. So tell us what it is. Yeah, so I would like to correct you slightly. We got 120 times, and as a combination of the runtime, better devices, better software, and some algorithmic improvements, and I'm very happy that we got what we promised. I'd love to be corrected when it's better. But let me show you how it works. Okay, let's take a look. For this problem, the first step is the user needs to define a molecule and its electronic structure. The next step, the user needs to specify the quantum program and the circuits that will be used. Then the user constructs the VQE program that they want to run. This is based on the Quiskit runtime as we talked about. Now they simply just call solve. So now here's where the fun starts. The quantum computer is now this quantum system plus a hybrid classical server, plus the user's computer. Let's start with the user in San Francisco. The runtime program now goes to the user's computer through the cloud, and it actually, in our case, goes to the IBM cloud that's in Austin, where it's authenticated and sent to the IBM quantum data center in Poughkeepsie. Here the runtime manager starts. It sets up this new container program and this does the classical computing and it makes the circuits to be run. As you see, there's lots of circuits that are being sent to the quantum systems. These are run on our quantum systems and the results come back and you'll see there's lots of zeros and ones. Now it goes to the classical server again and it processes those results. And if the algorithm calls, it resends those circuits through to the quantum system and it comes back again, processes the results, gets the final answer and sends it back to the user that's in San Francisco and now they see, as in this example, the chemistry plot. I think everybody's gonna be feeling a set of relief to say they're not gonna need to know quantum mechanics to benefit from quantum computing. But this vision is powerful, right?  So Jay, that's amazing. What's next? So what's next? There's beyond the chemistry, we also have an exciting result in AI where we actually use this hybrid classical computer combination to find the correct circuits to improve an AI task. And I'm excited to bring that out. And ultimately the release of 127 qubit system this year. Yeah, so that's the thing. We talked a lot about chemistry but there is a burgeoning field of the intersection of quantum and AI and the theory team and the software team has done really seminal work that is also really influencing deeply the field and now this roadmap of more powerful machines. Thank you for you, the team and the whole Quiskit community and the IBM quantum community that are really pioneering a whole new industry. So a pleasure and talk to you soon. We've defined the industry's leading roadmap for quantum advancement through our family of superconducting and cubing processors to deliver generation after generation the most capable quantum computers in the world. A new system every year with the goal of unleashing the era of quantum advantage where we aim to achieve computational speeds that will drastically exceed classical computers. We're making the hard tech of quantum frictionless for the user. That's why we've curated, created and nurtured a global quantum community through our open source software Quiskit the world's most popular software development environment. It has helped usher a fast growing quantum developer community and we brought the power of all of this to business with our IBM Quantum Network, a global network of quantum computing partnership consisting of hundreds of businesses, startups, institutions and governments. It's been an incredible journey so far but know that we're just getting started. We invite you to join us to benefit from the growth of the quantum industry that IBM is pioneering. Let's now take a moment to talk about AI. Since the field got started in the 1950s, the journey for AI has been a long and winding one. It's been both promising and confusing and at times underhyped as well as overhyped. The grand challenge of AI has long been to create a system that can truly understand human language, not mimic, but understand, reason and learn from human language. It is an arduous task and one that still challenges us today. But the pace at which we have made progress has been vastly accelerated through new methods such as deep learning. But what if we turn these powerful new AI tools to look at languages in a completely different way? You see, languages have been the cornerstone of human progress since the beginning. And although we're not the only species communicate through audible languages, we are however the only species that has taken the next step of abstracting that language into symbols. All around us are the symbols of language. From the typographic characters of our spoken language to the numeric symbols representing the properties of mathematics to the diagrammatic maps displaying the chemistry and arrangement of molecules. Languages surround us. They help us think and reason, then allow us to share those thoughts with others. Now we have seen the power of AI applied to human language. Its importance and pervasiveness is undeniable. But at IBM Research, we are also exploring how to teach AI two new languages and their exciting implications. The language of code and the language of chemistry. This is where AI's journey is about to accelerate. We are now going to talk to IBM fellow Maya Vukovic. She and her team are spearheading great work. Let's go meet Maya. Hi Maya, how are you? Hi Daria, how are you? Maya, let's talk about what we are unveiling and what do you see as the power of applying AI for code? So our AI for code technology is going to fundamentally change how we think about coding. Let me first give you an example of some of the work we have done and then let's talk about how we did it. One of our clients came to us with a problem they couldn't crack. Imagine their mission critical application has ballooned to over 1.5 million lines of code. Decades of adding, migrating, combining different systems. Moreover, this evolution of the code happened by multiple development teams, some of which moved out to the different role or out of organization. Some of them are not even in the organization anymore. Correct, and there may not be even any documentation left. So imagine that and imagine how this kind of impacted the operations of this application over a time. So the client put a team dedicated to understand how this code works and understand which parts could be made leaner, which parts could be better built to take the advantages of the cloud's agility. And it took them over two years of trying without a result. And why is that? Well, we as humans, we are not built to go and look through 1.5 million lines of code and understand what business functions are buried in there. But luckily AI is there and AI is very good at this. That is an early problem. So how did we apply AI for code to actually solve this problem? So we built an AI model that helped us in a very short amount of time to come through all the code in this application. So what the AI model helped us not only identify just which parts of the code are obsolete or no longer in use, which parts of code are redundant, and also which parts of code can be grouped in a better, more manageable groups of code or rather microservices. Not only did AI help us recommend what are the suitable business function-driven microservices, but we can also use AI to help us generate the code for these target microservices, further simplifying the time. So that part of it is automatic is AI is helping us write the code that is a target microservice? Correct, yeah. So further it saves the time and effort for the developers. It can also tell you where the gaps, what else needs to be done to make those microservices fully executable. So as you can imagine, this simplifies and accelerates the entire application refactoring process tremendously. Not just when you think about one business applications, but look at our clients. They have thousands of applications in their portfolio. And you were giving the example that just one application, a million and a half lines of code, two years. So imagine if you have to modernize thousands of applications, right? That's kind of the power of the technology that you and the team have developed or being able to compress that time from a multi-year effort to something that you can do in months or weeks. Yeah, and this is, you know, as we said, it's where the AI is very good at. It's amazing technology and I'm just very excited about the impact that this is gonna have for our clients application modernization efforts. Very often we think about software and the role of software in business and it's really becoming the language of business. So tell us a little bit about the broader implications of AI for code and what's next. Well, I'm very excited that we are launching today Project CodeNet and making the over 14 million samples of code available as part of the open source dataset available on GitHub, right? If you thought that 1.5 million lines of code is a lot, think about it, 14 million code samples that we have derived out of half a billion lines of code, our team has extracted most representative code samples that can help us or help AI train and better help the developers write the software. Yeah, so in some ways many are familiar with ImageNet and the implications that that had for the AI field in terms of visual recognition efforts and so on and the explosion of the utilization of these datasets with deep learning to be able to propel the state of the art of image recognition. So what you and the team are doing here is something similar but now for the world of code. Is that right? Right. So that is becomes a benchmark, a dataset benchmark that can be used for the source to source translation. Yeah, I just cannot help but think again of this productivity impact of if we look in our clients and everybody's enterprise, how many software developers out there and the role that AI can provide to be able to help with modernization efforts, write better code, debug code, deploy code faster. I mean, I just think that the implications are sort of boundless and just so excited about this announcement and it's really beautiful work that you and the team are doing, right? Really, thank you. Thanks, Dario. Thank you. So from learning about the implications of teaching AI, the language of code, we're gonna now have the opportunity to learn how AI is learning a different language. Let me share with you another piece of tech in which AI is learning a different language. This time, the language of chemistry. Leading much of this work is Teo Laino and his team in Zurich, Switzerland. Hey, Teo. Few in the world know or associate the world of chemistry with IBM, but now what's very exciting is that we are training and teaching AI the language of chemistry and you've been a pioneer in doing that. Can you tell us a little bit how that works? Indeed, Dario. We have been able to learn how to teach the language of chemistry to the AI architecture and the result has been a way of accelerating discovery for designing new materials that instead of taking years and millions dollars budget can now be designed and synthesized in weeks or months. So what is Teo, the technology behind when we say AI, what kind of technologies behind the scenes are we using to do chemistry? Let me go a little bit deeper into the heart of the technology. The very first thing is that we use the AI and more specifically natural language processing architecture to curate all the chemical records from publicly available chemical and structured records. And the parallel perhaps for everybody to understand is that in the context of human language, let's say translation, right? Between say, Italian and English, we would have historically curated large amounts of human translated documents and then we would have trained these neural networks to be able to do that mapping for us. But here what you and the team did was curate large bodies of patents and publications that contain the chemical translation language, right? The diagrams of chemistry of how do you go to a reaction as an example? The initial effort was made in 2018 when we made available all the trained models and also the core of the architectures, the molecular transformer to the scientific community through a portal that we call IBM RX and for chemistry. The portal has been a great success. We have been gathering the attention and constructing fast growing community of roughly 25,000 users that have been using the AI models almost four million times in a slightly more than two years. So this gives a little bit the idea of how interested is the audience? How interested is the scientific community in the journey for the digitalization of chemistry? Yeah, Theo, I think the work that you and the team have done on the core AI, the digital platform, IBM, RRXN, the digital robot that then helps you synthesize has been really been remarkable. It is the pioneering of a whole new field. And I think, Theo, what you and the team have demonstrated in the example of chemistry, which is notoriously difficult and challenging language, is really remarkable and it's illustrative of the potential. So thank you very much for the first for the fantastic work and for spending some time with us today. Thank you, Dario. You just saw two powerful examples of how IBM research is advancing the state of the art in AI and reimagining how teaching AI new languages will accelerate software productivity and scientific discovery. Language, automation and trust are the three pillars of IBM's AI strategy. With innovation from IBM research now being integrated into IBM's Watson AI portfolio faster than we've ever done, this is the time to scale trusted AI for business. Our journey today started by inspecting the world at the nano scale as we flew through IBM's latest groundbreaking work in semiconductors. Now, for our last stop, we're going to widen our aperture and talk about the world's largest and most powerful computing resource ever created, the cloud. Let's take a second to visualize it. This globe shows the major data centers of the world's top public cloud providers. Hundreds of locations in dozens of countries that spans nearly every continent. However, this only paints a portion of the picture. What is not being shown are the massive number of private computing environments that exist in silos across the globe. The cloud has dramatically evolved over many years to what it is today, a massively distributed network of public and private data centers comprising zettabytes of computing power and data storage. For us to fully appreciate the engineering and networking marvel that is the hybrid cloud, which combines public and private environments, we must appreciate the software that runs it. Enter the world of hard tech software. Hey, Priya, how are you? Hi, Dario. How are you? It's so good to see you. I remember a couple of years ago when you were telling me, Dario, for all the progress of what's happening on cloud, we gotta get to the point where we get the cloud to work as if it was a single, infinitely powerful computer. So what do you mean by that? Well, Dario, think about the simplicity of just working on your laptop. You have a common operating system, tools you're familiar with, and most importantly, you're spending most of your time working on code. Developing on the cloud is far from that. You know, you have to understand the nuances of all the cloud providers. There's AWS, Azure, GCP, IBM, private clouds. You have to provision cloud resources that might take a while to get online. And you have to worry about things like security and compliance and resiliency, scalability, cost efficiency. It's just a lot of complexity. When I think about the heterogeneous nature of the cloud, everything from large data centers to the edge, all these complexities that you're talking about, is there a prayer that we can actually address it and realize this vision? Yeah, indeed. I think it's one of the greatest challenges that we should solve right now in computer science to harness this tremendously heterogeneous and distributed system. I think there are two key elements to a good software architecture for this. So first is open technologies. And the second one is the right software abstractions. Now, open technologies because, you know, proprietary software stacks from different vendors not only add to all this complexity, but they stifle innovation. Key software abstractions start with the operating system, which is Linux. So as you know, Dario, Linux as the operating system for the data center era really unleashed this proliferation of software, including virtualization technologies like containers. And that ushered in the cloud era. Now hybrid cloud is no different. We now need a distributed operating system to provide us that common layer of abstraction across these heterogeneous and distributed cloud resources. And Kubernetes is the open technology that's emerging as the winner in this evolutionary battle. So you have Linux containers, Kubernetes. So these are the open technologies. And, you know, when it comes to enterprise ready supported, the most secure versions of this software, you have Red Hat Enterprise Linux or REL and OpenShift. This is our hybrid cloud platform. And this is the foundation for our cloud computer. So that is the path to be able to wrangle this complexity into something that gives you productivity. But you and the team are also pushing a vision that goes even beyond that. This world of serverless. So what is it and why is that so exciting? That's right. So serverless technologies, that's the key to realizing this vision of the cloud as a computer. So there are three key attributes to serverless. The first one is ease of use. And there's on demand elasticity and pay for what you use. So let me give you an example. So take a simple data prep task on the cloud, which is fairly common, but the data in this case could be coming from anywhere, literally, edge environments, for example. And to make this as simple as a command you could issue on your laptop, a lot of things have to happen under the covers. And today it's the developers and the data scientists doing these things manually. So I have to worry about, do I have access? Am I allowed to move the data? Where are the API keys? How many containers should I spin up?  But with serverless, you can literally boil this down to one single command as simple as moving files around on your laptop. And the serverless platform does the rest underneath. So that's the beauty of serverless. And we are pushing this vision forward today in the K-native open source community. And just like with Linux and Kubernetes, there is a supported enterprise-ready version of K-native that's available on OpenShift today. It's called OpenShift Serverless. It's also available on IBM Cloud called Code Engine. So you can try these out today, but we continue to push this evolution of serverless and it's getting us closer and closer to that vision of the cloud as a computer. Yeah, the cloud has an infinitely powerful computer, but working as if it was a computer. I love the vision and how you and the team and the extended Red Hat team and the whole Open Community is making this a reality. So thank you, Priya, for everything that you do and for the fantastic work. And I look forward to talking to you soon. Thanks, Dario. See you. We are well down the road of executing our vision of making the world's hybrid cloud resources as easy to use as a single computer. When we do, we will finally realize the full revolutionary potential of the cloud, the ability to get what we need when we need it down to the millisecond with the click of a button. Today's Red Hat Open Hybrid Cloud Platform, built on Linux and Kubernetes, provides the essential interoperability layer to seamlessly blend the computational powers of high performance computing, AI and quantum across cloud providers and across public and private environments all the way to the edge. It is a computing architecture that will enable us to discover faster, solve more complex problems and push not only science, but business to new frontiers. I hope that what you've just seen makes you reflect on what it means to be a tech company. The kind of tech IBM does, the types of problems we're attracted to, those define who we are as an organization. We took a journey that span nanotech and semiconductors, the world's most secure and highest performing transactional systems, now also infused with AI and quantum computers with implications so profound that they are branching the category of computing itself. We explored how it all comes together through a visionary serverless open architecture built on Linux and containers designed to ultimately make the massively heterogeneous and distributed computers that make up the hybrid cloud work as if it was a single infinitely powerful computer. Each of these technologies has vastly different methodologies and complexities, but what ties them all together is that they collectively represent the future of computing. I want to close my time with you by sharing a reflection on why I focus so squarely on computing, about why computing with a capital C matters. It comes from another institution I love, MIT, one that has also deeply shaped me. Just a couple of years ago, the institute came to the conclusion that a new college needed to be created, one that will be the most significant change in their last 50 years. They thought long and hard about what to name it, ultimately settling on the College of Computing, not the College of AI or of cloud or of quantum, but of computing. The core vision is both simple and profound, that all future professions, be it of an architect, an economist, an engineer, or a scientist, will be defined by each of their disciplines plus computing. This has been the IBM story for over a century. It is the story of computing and its impact on business and society. And we have a strong pipeline of innovation as we have ever had, now multiplied by the power of open innovation. Our vision of combining the capabilities of high performance computing, AI, and quantum in the hybrid cloud is a game changer for how we can use computing to accelerate the discovery of new solutions. Problems long believed to be out of reach are finally being dusted off and looked at anew. I believe that this will bring about a new era of accelerated discovery that will allow us to scale the scientific method across business and society, discovery-driven endeavors and businesses making extraordinary breakthroughs and innovations. My colleague, Michel Braude, IBM's brilliant general counsel, summarizes the character of IBM as a company that brings innovation with trust and empathy to our clients. It is a model of working that brings me great joy as an IBMer and director of IBM research. I hope you enjoyed taking a look inside our labs. It's been my pleasure to give you a glimpse of the amazing work being done here at IBM. Gracias.


stay away from sexual contact with a narcissist yes that's what we're going to be talking about in this video because I think it's very important for you to understand sex with a narcissist is abuse yes you are being abused when you have sex with a narcissist and the reason why is because they're so self absorbed that they lack empathy and for them everything is just about manipulation and control it's all about just sucking the life and energy out of you and meanwhile they just treat you like a toy an object a tool you're just something for them to use you're not something that they connect to they lack empathy so they do not share or understand your feelings or experience it's just all about them it's all about their needs and that is why they're so selfish when you're with them when you're sexually involved they don't consider your emotional or physical needs it's not about what brings you pleasure no it's never about that and even for them believe it or not but narcissists are not physically or sexually attracted to anyone and you're with them and you feel like you're not that attractive you're not sexy you're not cute and you look at yourself and you wonder what is wrong with me is it my face am I not beautiful or handsome enough maybe I just need to do my hair a different way maybe I need to lose some weights maybe I'm too fat maybe I need to gain weights maybe I'm too thin maybe my butt is too big maybe it's too small or maybe it's something else there's so many different things that may run through your mind all of these things that you may think is wrong with you and they may even tell you that as well they may point out things about your body saying that it's something that they dislike and that is why they're not turned on with you that is why they do not decide to have sex with you because yes in some cases they may even withhold it all together and that may make you think that's something that's wrong with you but what you need to understand is that narcissists and even just people who have narcissistic traits they're actually not physically or sexually attracted to anyone at all because they're narcissistic so they're self-absorbed and they like empathy it's all about them and narcissists is the type of person who if they're having sex with you and they want to do it in front of a mirror just so they can look at themselves and they're having sex with you and they're just thinking in their minds wow look how sexy I look doing this right now and and you're not even there you're just a prop you're just an object they're not even really considering you in that moment you're just there to make them look good they're not even seeing you as a human being they're not even seeing you as that at all and when you think about it it's really sad it's really pathetic but this is just how it is narcissists are not physically or sexually attracted to anyone not even themselves because as we know they have this false self and this false self is meant to be perfect and they plan and coordinate the elements of a situation to produce this effect of them being whoever they want to be in that moment whatever makes them feel good whatever makes them feel sexy attractive and desirable the best things in slice bread and they just move you around it's like you switch from position to position enjoy this being moved around like a toy a rag doll and they want to position you in certain ways to set up this it's like a movie set the position things of around to produce this effect and this effect is not for you it is for themselves they're self-absorbed that they like empathy it is all about themselves it's never about giving or sharing anything with you and that is why I say that sex with a narcissist it is an abusive act because they're not even considering you you're not even there and yet at the same time they are leeching off your energy of everything that makes you who you are and that is why when you're having sex with a narcissist even during the sexual act it doesn't feel good in fact it feels bad it feels very wrong you feel a lot of guilt you feel a lot of shame you may even feel quite embarrassed to talk about it although sometimes and I say sometimes because for this to even take place you have to be in the fantasy yourself you have to be completely delusional where they have gotten you to share this fancy in that moment to validate their false self and in that moment then it may feel quite good but even then that's just all in your mind it's not real it's not a real connection and that is why even if it does feel good in that moment following the act you will then feel really bad about yourself you will feel a lot of guilt you will feel a lot of shame you will feel like you just made a very big mistake as though you should have never done that you should have never been in their bed or had them in your bed you should have never taken off your clothes when you were around them you should have never agreed or consented to participate in this sexual act what I'm saying is despite the fact that you were manipulated used views and controlled by a narcissist in a sexual way despite all of that at the end of it you may even blame yourself because they're not going to be there to comfort you they're not going to be there to hold you and tell you that everything's okay they're not going to be there to do that for you and that is why it may not even be pleasurable during the sexual act because they don't really love you they're not very affectionate they don't hold you they don't put their arms around you they don't even make eye contact with you it's like you're not even there they're just using you like a toy a prop in their movie and they are the start of the show sex with a narcissist will always be narcissistic it will always be all about them and how great they are you may be fooled into thinking that it's about you and by doing that you may experience a level of fake happiness but it's really not about you at all it's all about them I'm literally in their minds do in that moment all they really think it is wow how sexy am I how attractive how desirable look how good I look yes that's exactly what's going through their minds but you may not believe it because they manipulated you they led you led you to believe that this was something where they felt attracted to you and as though they wanted to share this connection as though they wanted to give you something when in fact no it was all about them it was all about robbing something from you and that is why by the end of it you feel robbed and this is even before we get to the spiritual side of it because yes sex is a spiritual act when you are having sex with someone you are making love to their soul it is affecting them on a spiritual level and that is why that energy stays with you even after it's done and it can linger with you for a very long time in my experiences I've noticed for a few days maybe even for a few weeks you just feel like something's wrong you feel anxiety you feel irritable you may even feel depressed and you may feel like you just want to be alone it's almost like you've just been raped even though you may have agreed to it you may have consented but it's like you thought it was something else so at the end of it you're thinking you got robbed you got cheated you didn't get what you wanted what you expected what you were led to believe because you were just used you were abused you were tricked and you were deceived and yes it can affect you spiritually and this is another thing as well you need to be aware of a person's past sexual partners because as I said this energy stays with us this DNA passes from person to person and that's another thing as well if you're talking about unexpected pregnancies I mean if you get a narcissist pregnant so they get you pregnant then there's a chance you could be bringing a baby into the world with very bad genetics a child who could be messed up in the mind and then there's also SDIs as well because as we know narcissists like to sleep on grounds and they don't like to be told no they don't want to be told that they have to use protection again it's not even about sexual attraction physical attraction or even pleasure or gratification it's really got nothing to do with that at all that's not why they do any use protection narcissists are completely emotionally and even physically numb they're completely desensitized it's all about manipulation and control that's what it's all about when you're dealing with a narcissist they don't even experience positive feelings and emotions it's all negative for them that's why the world is miserable and in fact you may notice and this is really crazy but it makes sense with a lot of what I've said up until this point you may notice that following the sexual act they're even more miserable they're even more frustrated it's like they're even more mad at you it's like you've done something wrong and they may even say that to you they may point out something doing the sexual acts something you did you didn't do it correctly or something you didn't do what they wanted you to do as we know they never actually say what it was they just expected to guess and they would just use that as an excuse so it's justification for how they feel calling the sexual act to justify their misery and frustration but the regard to guess that they just can't be satisfied it's not you so don't feel bad about yourself don't feel like you're not attractive you're not good enough something is wrong with you I want you to feel about way at all and that's not why I'm saying this I'm saying it because it is the truth no says the people even those who don't have the full blown disorder they do not experience physical or sexual attraction they don't even experience physical attraction to themselves even though you might think that they do I'm sure many of you know about the story of narcissists where you fell in love with this reflection in the lake but even then that's a false character that's not even real they don't like anything that exists in reality they shut it out they don't want anything to do with it they live in a fantasy they're not physically or sexually attracted to anyone or anything it's all about manipulation and control and of course they do try to appear normal that's why when you experience the discards they go on and they find another source of supply and they act like they're so in love this we're attracted to this person this begins from the devaluation phase as well this is why they insult you but they put you down while they always make negative comments about your your appearance it's trying to make you think that's something wrong with you but in fact they just can't even feel physical or sexual attraction that's what the problem is and this is why they go on to prove such a point to you of how they can be physically or sexually attracted to someone else but even then it's still about manipulation and control they manipulate in the new source and they're also manipulating and controlling you through your perception of this new situation and you've got to think why do they go to such extreme lengths with the new source just to try to prove this to you why is that such a concern to them and of course it's because deep down they know that something is wrong with them they understand that they can't experience physical or sexual attraction yeah they know that something is not right with that they know that they should be able to experience it and this is why when you go out into public you might be at a restaurant you could be anywhere and they're always watching your eyeballs they want to see where you're looking or who you might be attracted to it's like although they can't experience it themselves they try to experience it by cursory through you and they're so fascinated with your natural process of physical and sexual attraction so fascinated by that and it's like they always want to know what it was that attracted you to them physically they're so fascinated with that because they don't get to experience it for themselves that's why that's why they go off and it's such a point that they have to prove to you of how they can experience that with someone else the reality is that it's all fake it's all an illusion it's all just something they use intermittently you I mean you've got to think how can someone experience physical or sexual attraction and real sexual intimacy if they lack a effect of empathy which is the ability to share and feel another person's feelings and experiences just look at how many times they hurt you quite clearly they cannot feel what you feel they can't feel what you feel if a person cannot feel what you feel how can they experience physical or sexual attraction how can they experience physical or sexual pleasure and gratification how can they be satisfied how can they out be happy of course they can't it's not possible this is the regard you have it because only one to two percent of the bill's population are empaths a statistic show and this is why although you may have experienced sex a lot of times throughout your life with a few sexual partners it's like you may have never felt like you really connected with anyone I can never experienced real intimacy and perhaps that's why perhaps that's why because that statistic show only one to two percent of the bill's population are empaths which are people who have the ability to feel what you feel and really that's the best part when you know that you are making someone else feel good and that is something not to say so even really anyone who isn't an empath doesn't get to experience they don't get to feel what you feel they can read into it cognitively but they can't really feel it and that's the best part being able to feel it and maybe that's what they're missing maybe that's why they're so miserable maybe that's why they can't find satisfaction in anything in their lives maybe that is the reason for that for those of you who have had that experience where you're having sex with them and you can actually feel what they feel you will know how amazing that feels to know that you are making someone else happy you are making them feel good you're bringing them pleasure and satisfaction I mean honestly I would say that that is the best part of the sexual activity I mean for me nothing hurts me more or would hurt me more than to know that I have not fully satisfied my sexual partner and I would be thinking in my mind what do I have to do to make things better to make things right to please you to satisfy you to make you feel good yes that's what I would be thinking about in my mind but as for NASA says that doesn't even cost their mind at all they don't even think about that that's how it's so easy for them to just use and abuse you and not even care but if you're sexually satisfied that's how it's so easy for them to do that because quite clearly they don't even care if they did care you would see a different response they wouldn't react in that way if they actually cared that much about it quite clearly all they're concerned about is their own and I wouldn't even say sexual pleasure they didn't even get to experience that they don't even experience physical or sexual attraction it's all manipulation and control they're seeking power and even then that has nothing to do with you you're just an object a tool a prop they don't even see you you're just a mirror people are mirrors that reflect back to them how they want to see and feel about themselves that's literally all it is