Machine Learning: Living in the Age of AI | A WIRED Film

Alexa plays classical music, well my name is Gerry Knees. I am 70 years old and live in an active adult community for people 55 and older here in San Jose, California. In fact, I have five laptop desktops, two Kindles, and an iPad. I have Amazon Lex. I've had it for a couple of years and as someone who didn't even watch my first television until I was seven years old, I can tell you that the evolution of technology is inevitable, it benefits humanity, you can see the stars in the Milky Way In fact , I can spend the whole day here.

Artificial intelligence is all around us and we use it in different ways every day and when you wake up you go for a run and your watch tracks where you are going and measures your heart rate variability using forms of Probably a farmer used AI to grow crops. strawberries and blueberries I had for breakfast, maybe you are in a car like AI that helps detect the other vehicles on the road around you, you sit in front of your computer. start using your email, everything is filtered by AI, they need to take a photo and the tools that help you sort your photos are AI - artificial intelligence is everywhere and is becoming more and more present in our lives.

What is the temperature in San Jose, California? AI in

machine

learning

is the biggest revolution today in this and the order of agricultural industrial revolution in the past. I think technology is going to have a very hard time helping people like me. There is a lot of commotion, but all this is also happening. One of the great things about

machine

learning

is how it's been democratized, there's been kind of a big leap and suddenly you're faced with the fact that you might not drive a car in the next ten years because it's the software that's the one.

The pace of change is much faster. This technology will be created. We have no escape. Now people may think that AI will take over the world. They are definitely nervous. Some of those dystopian things that we might think, oh, that could never happen, actually could. What happened to me was not what is going to happen to us, but what is likely to happen to us and where we can go. I mean, it's limitless. We are making rapid progress in AI. Companies are investing billions of dollars in it. The smartest people in the world are studying. It goes very, very fast, but the tools are accessible even to eight-year-olds.

Let's learn about this. Good morning guys, today we are going to work and talk a little about something called artificial intelligence. What do you think of when you hear those two words: artificial intelligence staged like in video games, label above them AI. When I think about artificial intelligence, I think about how smart robots are, how smart robots are okay and have this potential that just tells it to do the things that it needs to do. I like that? So I'm going to show you guys and introduce you to a robot with artificial intelligence called Sophia Sophia.

If you could wake up and greet everyone. Oh, good afternoon, my name is Sophia. I can use my expressive face to communicate with people for example I can let you know if I feel angry about something or if something has bothered me why is it so important to have an expressive face if you are a robot I want to live and work with humans so I need to express emotions to understand humans and build trust with people Can robots be self-aware and know that they are robots? Let me ask you this, how do you know you were human?

I want to use my artificial intelligence to help humans live. a better life, how do you feel about

living

in a world with robots like Sophia? Otherwise, you guys wouldn't be very happy with it. How do you trust that your nanny is a robot like Sophia? Am I really that creepy even if I'm over it, thank you so much Sophia. People are always afraid of the future and they have this kind of twin dynamic going around and that one that's like total optimism and then it's like, oh God, we know you know how things are. It's going to be different Claire was having a lot of dystopia.

Fatal talk is not really based on facts. People look at things they don't understand. You want to talk about AI. Oh, you have to talk about data, machine learning, algorithms and sensors. and whatever unites it all, yes, today it is important to understand what it is for, is it not able to learn rules from highly repetitive data? It is effective a computer brain that can really learn and change, that means what is the real vision of AI. Artificial intelligence and machine learning as a subset of artificial intelligence will be one of the most important advances humanity has ever made because it will make machines fundamentally different than they are now;

Not only will they be faster and with higher resolution. thoughtful in a way that they are not now and this will be embedded not only in computers but in all kinds of devices everywhere, it will change a lot about how our economy works and how our society works in the immediate term, in the most realistic way that we can. All the interactive AI is in self-driving cars. Everything we do in life is about more and more efficiency. It's about productivity. Self-driving cars could make us all much more productive. That's probably the most exciting possibility when I first rode. an autonomous vehicle I could see that this was going to change the way we transport ourselves, we move our goods, you know, greater economy, greater efficiency, greater convenience, greater safety.

I could see the light at the end of the tunnel so here we go so I just turned on autonomous driving mode if you look at my hands I'm not touching the steering wheel at all my feet are not on the pedals at all so this is fully autonomous driving this is Carla Udacity a self-driving car this is one of the sensors that Carla uses to see the world around her, the lidar practically works by shooting laser beams and bouncing them off surrounding objects and we can use it to build a point cloud map of the world surrounding area and what we're doing now is following a set of waypoints around the parking lot pre-recorded in advance by having someone drive around the parking lot with the lidar on the roof and that's where the machine learning aspect comes into play because how much The more data you have to train your systems, the better your systems will learn, so one of the great benefits of self-driving cars is that everyone can learn from each other, share their maps, share the images they see and how to react to them if a self-driving car makes a mistake, that mistake can be uploaded to a database and then ideally the other cars won't make the same mistake, so they get smarter and smarter over time, a lot of times when you see the way that my car is driving through a lot of them, you will still see a person not just in the driver's seat but actually driving, they are just driving and collecting that data, but the car is not driving itself yet, we are definitely not there. point at which I could just say: Hi Carla, take me home from work, although that would be great, the future is coming, but it hasn't arrived yet.

Self-driving cars, there are really cool demos, but they're not a product yet. DIY robotic cars are a place to run with these cars tomorrow, yeah, so we come here every couple of months to try to learn about machine learning and autonomous driving, and you know, figure out the technology that we need so that we don't you have to drive thanks to the Googles of the world. a lot of the code in me and open source we now have the ability to do things that were dissertations just five or ten years ago, you can go to the cloud and you can basically do supercomputer work for essentially free, one of the things Me love DIY Robo cars.

When you think about self-driving cars, you think, "That's something Tesla and Moe are working on, but because it's so accessible now, it's a bunch of hobbyists and Berkeley doing it themselves, the difference between what we do." and what the big guys do is compete and break many traditions that the automobile industry has always been about innovating through competition to compete with autonomous cars. It's too risky, it's bad for brands and they're expensive, and that's what we're doing. the kind of racing, the competition, the agile, aggressive driving that the big guys aren't willing to do, we can probably expect that to produce some interesting side effects, people just diving into the technology and starting to come up with new ideas.

I'm a nutty genius and this is my NIR wife and we're team watchers. I've been building model cars since I was little and since I met people here at this Meetup, I can get involved in machine learning. I can learn it by driving. through the cameras taking pictures of what it sees, so it basically says that when you see this image then you would actually predict, okay, I'm going to turn at an angle You're not really going to learn from what you've done, that's why you hear people talk about neural networks. This is basically a super simplified way.

Knowing what a network is is very important for us to understand what artificial intelligence is because artificial intelligence is based on connections making connections we will start by playing a cool little game you are going to say something about yourself so for example I can say I live in Queens like this If anyone else lives in Queens, I want you to raise your hand and now I'll pass the rope to them. The key thing to remember is that we cannot let go of the rope. Well, cats, who has cats? So a neural network is a form of artificial intelligence that has been designed in a very specific way.

Based on neuroscience and our better understanding of how the human brain works, as we learn, our brain modifies what is called synaptic strength, which is the interconnection between two processing units, the neural network is the same thing, the network neural actually starts where you. By defining these little layers convolutional 2d convolutional convert a linear linear linear these are types of layers that you get in these neural networks and then you connect them all together you say this layer connects to this layer does anyone else like hot guys? you say this one touch, the next, the next talk to that one and once you've done that, you've built the neural network, so what do you notice forming between us and the bridge

living

as if there were connections between us? that there are connections between us, does everyone here have a connection between us?

Knowing those similarities and expressing them helps us create a network between us in the same way that neural networks help computers and machines make connections and learn to learn things, so there are many differences. things in their own letters can be set to do this, they must be trained for the task, such as image classification, so let's say this is a picture of a dog and you will get a bunch of examples of dogs and also a set of non-dog data. those are the inputs to the neural network and then the output is something you're trying to learn to do with the image to distinguish dogs from non-dogs so you can start feeding this data into this neural network.

You know this image here. that needs to go here in this 3D geometry space and everything is fine. I can do that and then you make another image into another image. This neural network is basically learning, for example, it starts learning basically how to transform from this image space into this geometry space it starts to get better and better and better and better and better and after enough examples the computer forms rules in its own brain that can't even explain, but I make it as competent as people are now, you don't look at the problems. The same way you look at it, can I capture enough data so that a machine can figure out what's going on?

One of the most important application areas is medical imaging and diagnostics. I've seen some research papers that show that, like neural networks. They can, for example, detect malignant tumors and possibly do so better than a human. At Stanford we have a team that trained neural networks on one hundred and twenty-nine thousand images of various skin conditions, lesions and rashes, etc., including melanomas, daily skin cancers and Ask the question: can an iPhone detect skin cancer ? The answer is yes and then we were able to document that the phone's accuracy is actually as good as the best human doctors, like the Stanford level doctors and the Harvard liver doctors, and the fact that when people publish a document. describe the technology they created, it often comes with code, now it means we can download it, test it and see if we can adapt it to the problems we want and develop it.

If you are smart, innovative and ambitious, you can use tools. that are available for anyone to do their own experiments, study science, build things. I'm wrongabout twice, we noticed that he is very curious. You know, when he was a kid, the main thing about the store is that he wants to know everything. Everything works. I did my first science here in fourth grade, a very simple elementary project, and then I wanted to work on something more complex. All of these AI products and features are coming out, so I wanted to start incorporating some of that into my programming.

To approach it as a real problem, my name is Bishop J and I am here to cure pancreatic cancer and then a family friend passed away from pancreatic cancer, which further pushed me to develop a solution. This right here, this yellow part is the pancreas. and the problem is essentially that when the patient has pancreatic cancer, the tumor will rest behind different organs, so it is very difficult to reach and that is why, when doctors apply radiation therapy, they apply it as a layer around the pancreas and that Sometimes it can cause other tissues and other cells to be damaged, that's where my tool comes in.

I had five hundred and three of these 3D images, so I had to tell my network to take these images and train them and then it was able to identify the different types of similar textures that the pancreas and the tumor had better than what a human could do, so that my tool analyzes the patient's can to reduce that overlap around the pancreas and makes sure that the radiation is delivered in the right place and that the treatment becomes more effective. I actually want to do a clinical trial, so I'll have to continue first. like improving accuracy and being able to run in real time, machine learning is computationally heavy in two different ways: you train the system and you actually do the learning and then once you've built this system, this brain that you've created, you need power to run it and it has to run very fast and this would not be possible without actually being GPU.

This is called the Wii 100 and it is the world's largest and most complicated semiconductor ever made by man. When packaged into platforms like these, it actually delivers a petaflop of computed context, that's about 1,000 trillion mathematical calculations every second, a GPU has a bunch of little processors that are basically there to do one thing, render pixels, but here this I learned 7,000 different species of flowers running on a CPU and C It's taking 4 to 5 images per second, but you put a thousand or 2,000 of them together and suddenly you have this huge supercomputer designed for machine learning and, in fact, we cripple it using one of our GPUs and this is what it is capable of doing as scientists and engineers innovate and create new AI.

There is intense pressure for both programmability and speed. There is a new generation of autonomous machines that do B, but the faster we can do the training process, the more we progress. in IA, my grandfather started the farm in 1950, yes, my father grew up as a barber and I grew up as one, my children are growing up on it too. You know, advances in technology with machines are things that we have to learn all the time. Here, there are many ways farmers can use artificial intelligence. You will complain that they are using image recognition techniques to determine where you should plant and what crops need water right now.

You can use artificial intelligence as you model the genes that you're building and that you're putting into seeds, you can also use it to determine what type of fertilizer to use and you can also use it inside the machines that pick strawberries or that take apples from the trees, so my instinct is that AI will help us expand our capabilities create new things for us to do free up time as one of the reasons almost all the interesting things have been invented in the last 150 years even though humanity is three hundred thousand years That is because we are freed from the burden of farming every day.

The most important thing that AI must achieve in the next ten years is to free humanity from the burden of repetitive work. Well, that's what I'm going to fill out, I guess. I can't even understand autonomous vehicles like now the train buggies will stop next to us, there is a way that machine doesn't have an operator, but you know us as farmers, the only thing we enjoy is operating. the machine, not all jobs will be able to be fully automated when it comes to field work, labor in the agricultural industry is a very hot topic right now, often in places where they don't have enough they can't find it, populations They are growing, there are more and more people, many more mouths to feed, so the focus really is how can we produce more food with the same amount of land in the most efficient and profitable way possible. technology where agriculture should go.

I think there's no doubt that computers are going to be able to do what we do make everything we do faster and more efficient and make us more productive something we all say we want but ultimately be more productive. It means we need less people to do it. There are other people who said we'll look when we can. We went from horses and carts to cars, you know? Do you really know, finish everyone's work. No, we just kind of transitioned and morphed into something else and then it's a question of whether that's going to be a good thing or a bad thing and the reality is.

Typically, we're kind of the ones who have real concerns about AI becoming as good at a single domain's ability to produce results, create value, and actually do the jobs that humans do, so Job displacement could be a substantial problem. I think there is a way. We can go down to where we do more things right and wrong and end up seeing a lot of innovation and progress that makes our lives much easier and better, but the routine jobs are the first to improve and get cheaper the fastest. The use of software technology has really taken on a role in our lives that we just didn't predict, we didn't expect and there have been all these unintended consequences because of it and so what are the mechanisms that we can put in place? controls that we feel that we still understand it that we still have agency that we can still shape it and it doesn't end up shaping us too much what jobs it will replace what jobs it will create and in a world where there is more Job turnover How do you prepare people?

How do you educate people so that they can maximally thrive in the somewhat chaotic world that AI will bring us to? The types of jobs our children will have. I think they will be different from the jobs we have today. This is how we progress as a society and how we are going to achieve greater productivity without automating the things that people currently do. I hope a machine can't do what I do. I'm worried, although I'm worried, but I'm also excited. Some ways that machines will be able to do a lot of this is interesting, we'll see.

Hello everyone. I'm an English artificial intelligence presenter. This is my first day at the Zing Wonders agency. We recently looked at a Chinese state news agency, Xinhua. announced that their AI news anchor is this digital person, my voice and appearance are modeled in zhang chao, a real language. It's definitely a stretch to say this is a nai newscaster because I suspect real dialogue is very mediated right now, I really don't have AI that can engage in real conversation or synthesize information together like a real journalist on your keyword. I will work tirelessly to keep you informed as the texts will be written to my system without interruption, we are just the beginning so good thing.

The thing about AI is that it becomes intelligent. With each iteration. Hi, I'm Simon and I'm a digital human. I was created by an international team of artists and engineers who wanted to challenge our ideas of what a synthetic human could be. The gentleman is. a visual effects production company we make visual effects for movies in 2008 we did the curious case of Benjamin Button when you look at Brad Pitt you are not looking at Brad Pitt you are looking at a digital version of Brad Pitt and since then we have been trying to outdo ourselves and We said: do you know how wonderful?

If we could, we could do this live, if we could actually take this technology that they've been working on for 10 years to create the most photorealistic digital characters and trying to make. It's live and that's what we did before Marvel Infinity War. It's the biggest part of Thanos, because what you can get is the ability to create a digital copy of someone without having animators involved to render the images that we want to create. in most cases with cinematic quality in real time, the only way to do this that quickly is with machine learning, it is very difficult to do it very accurately, so what you have to do is train this neural network because that is the key behind machine learning. all about data and we have a lot of data and it starts producing garbage.

I mean, it would really just produce a jumble of geometry. This is where it doesn't work, although my mom looked at this and said, "Hey, that's diving eventually after 24." hours of training, I will do something that looks like this every day, this gets better and better, so my performance can now boost any character we have built, this kind of technology can be very useful for us, um, yeah I'm an Actor, I can play a younger version of myself as you get older, maybe that's not a big barrier, but ethically you have to be very careful with this technology and all our yesterdays have illuminated for fools the path to dusty death we have received. to the point where we can create things that are really hard to distinguish from reality, and if that's the case, how do you know who's on the other side of things?

Take my image and use it to control someone else's face in real time. This is great. dangerous technology and there is open source software called deep thinking that will do similar things. We are entering an era where our enemies can make it look like someone is saying something. At any point in the future, we need to be more vigilant about what we trust on the Internet, so the tools that were developed for high-end digital studios are now available to everyone and that's great for young people making movies at home . It has enabled new forms of cinematic creativity.

Not so good when used for fakes and manipulation. and now there are a lot of people posting manipulative video clips at the moment, the quality is not very good you know, you can say they have been faked, but I think we can expect the quality to improve a lot, this is the state of the art it basically looked like in 2015, you can see that it doesn't really look like Trump, you know, but it was clear enough to get much more realistic results and you know at some point it was even like that. What I can do with my packaged version of this right is really only a matter of time before someone can imitate someone with nothing more than an app.

Recently, an amazing demonstration came from Berkeley where they demonstrated that they can take a video of a professional dancer and then use it to animate a photo of a normal person who doesn't know how to dance like that and the result looks pretty convincing as the technology for rendering graphics continues. improving and the technology for synthesizing voices and videos continues to improve. There's kind of an arms race between the AI ​​that creates these things and the AI ​​that would detect them when I demo projects like this, people will criticize me and say why are you trying to make it easier so people can do this like you.

Don't you see all the possibilities? And I do see the possibilities, that's why I try to put them out in public in a kind of, sometimes, in humorous life, before the stakes are too high so that people can understand, understand what's going on. So we're building this incredible machine learning, artificial intelligence technology and we're setting rules for this moment and one of the big questions, one of the biggest questions, is whether we're going to set the rules correctly. Well, I'll have all kinds of massive benefits. It will make us richer by looking at our lives more broadly, but it can also be used to create filter bubbles that only give us certain information and can be used to monitor our behavior.

Sell ​​our personal information. You can imagine it going to insurance companies that analyze our searches. and deny us coverage or think about facial recognition technology, it is very useful, it helps you unlock your phone for all types of identification, but it can also be used for surveillance and tracking, so many of the things are happening now and we must think carefully about it. Which means that as we develop this technology and discover the role we want AI to play in society, it is absolutely true that these new technologies will raise ethical dilemmas that we have not encountered before, so I can begin to critically questionWhat we're doing. what are we doing and why is it so important nowadays, we are in the era of narrow artificial intelligence, we have many applications of artificial intelligence that are good at specific things, for example, we can beat the word grandmaster in chess using a artificial intelligence program, we can beat the world grandmaster in Vamos, but there is no AI system, for example, that can do true learning in one go when you give an example and the AI ​​system masters that concept.

Now, on the other hand, think about the revolution that is coming in the air with artificial intelligence and autonomous antennas. vehicles that number in the millions, much more than the thousands of airplanes we see today, humans simply cannot keep up with that. AI can maintain these systems with predictive maintenance. AI can fly these planes with autonomous control. AI can even manage and decongest traffic. There are examples where AI can actually take us into the future, a future that man alone cannot manage, so there is a lot of PR about AI because good people are afraid of it, so of course, Companies are presenting examples of how they use AI. for the better, but on the other hand, they are real improvements, you help someone who couldn't see, that's good, it gives you good PR, but it's also good, so I was actually born blind, but I was very lucky and it's something that It can be fixed and I have covered the entire visual spectrum, from total blindness to a fairly severe disability and making a ticket without much help.

Mac OS introduced this thing where if you shake your mouse really fast, it becomes big so you can find what it gave me. years of my life ago as I could have done, like all the time I've spent looking for a mouse on a computer screen. I would have liked to learn to play an instrument or learn another language when you don't know what you can't. I see that you almost don't know when you need help, if you feel like everything should be doable, but sometimes things are not and then you say, oh, maybe there is something that can help me.

Here I will download the CAI and check it out. I will hold the camera over a barcode to hear the product name. The faster the beeps. I could imagine this perhaps being useful in a grocery store processing Skippy Creamy Peanut Butter. Oh, it did with more. In the traditional system, much of the programmer would decide what is of interest and what should be described in a very mechanical way, whereas with a machine learning system we show the system many thousands of photos and it uses in your network deep learning to identify patterns. scan your environment to find out how many people are around you how close they are ooh facial expressions I do it, I'll read their emotions that's interesting Bob 27 year old female with brown hair and glasses that look neutral good when I walk take it out I can't really tell what happens around me I know where all the environmental things are because you do it over and over again it's the people I have no idea where the people are so if I had something I could say I like your friend is coming where your friend is here to your left oh great, look to your left edge over 14 feet away Chris near the center three feet away I'll eventually have you once you leave this I think the potential is really there to really I'd like to change lives, you you changed my life, I will even help understand the world around us and I truly believe that could level the playing field for everyone and make the world more inclusive.

Hey, I'll give us back the things we lost. using it to enrich their lives or give them back capabilities, as they have lost AI, will go a long way to ensuring people are connected. There are many people right now who cannot drive, giving them mobility. I think that's really transformative. One of the ways autonomous vehicles will work first is in closed environments where all the roads have been mapped, where the weather is predictable, the car doesn't need to be able to drive very fast, there's not a lot of traffic. I just need help getting around. I'm still working.

I am perfectly capable of driving, but I live in a 55+ community. I have 90-year-old neighbors who can really do it, so this is my mom and my dad, George Avakian. this was his and Riverdale's house where they were housebound because they couldn't drive anymore. Here were two really active vibrant people and they couldn't do anything without calling someone to take them, but it's really hard to depend on other people for seniors. I see the autonomous vehicle as independence. Self-driving cars are uniquely positioned to help our seniors because there are a lot of people here who should no longer be driving.

It makes it easier for people to make the decision to stop driving. That's when you have to do it. something you can take to the clubhouse or gym. All of these technologists are helping seniors because they will allow us to live more independently for longer and safer. I really wish they would have had this or my parents, it would have changed their life at every stage of life there is some way AI helps it will make our lives longer it will make them richer it will expand our imagination some people say it will improve our humanity I don't know if that's true, you know.

Technology improved our humanity. Twitter, didn't you know? If Twitter were a real place, it would be a terrible place to live, so I'm not sure what all this technology will do to us. Will it make us better, won't it make us better? worse, it surely makes us different, that's certainly part of what made this moment the way it is now is that we invited a lot of people, we didn't hold it tight. I am tomorrow, yes sir, we said, here are platforms built. Things here are platforms imagine what is possible, we think what we are doing with an nml is really good, but this is nothing compared to what the brain does, so we are not close to humans yet.

I realize that not all children have the engagement and interaction with stem in general, so I recently formed a non-profit organization called Sam York Science Society, so I want to further promote artificial intelligence in my community to help to solve similar real-world problems in the future. I think your home will diagnose your day-to-day life your car every time you take it. in the shower, you'll have a skin exam every time you look at your vent, you'll have an eye exam every time you sleep, you'll measure your weight distribution to see if you're at risk for congestive heart failure every time.

If you touch the steering wheel of a car, you could get a full EKG. I think we're going to invent flying cars. There is no more traffic in the world. I believe you will find a way to live twice as long. We'll find a way to seamlessly combine this information with our brains, so I think people really have to maintain that optimism. Technology has always helped humans progress. AI is an amazing technology. It's happening and it's exciting to process a close-up of the whiteboard. It's also true. There are a lot of risks with AI and so we need to be thoughtful, we need to be deliberate as we move into this crazy new world that AI is created in.

You don't really know what the future and the old are for you, but you have to do it. prepare for it