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DeepMind's Newest AI Programs Itself to Make All the Right Decisions

#artificialintelligence

Three main deep learning approaches are supervised, unsupervised, and reinforcement learning. The first two consume huge amounts of data (like images or articles), look for patterns in the data, and use those patterns to inform actions (like identifying an image of a cat). To us, this is a pretty alien way to learn about the world. Not only would it be mind-numbingly dull to review millions of cat images, it'd take us years or more to do what these programs do in hours or days. And of course, we can learn what a cat looks like from just a few examples.


DeepMind's Newest AI Programs Itself to Make All the Right Decisions

#artificialintelligence

Three main deep learning approaches are supervised, unsupervised, and reinforcement learning. The first two consume huge amounts of data (like images or articles), look for patterns in the data, and use those patterns to inform actions (like identifying an image of a cat). To us, this is a pretty alien way to learn about the world. Not only would it be mind-numbingly dull to review millions of cat images, it'd take us years or more to do what these programs do in hours or days. And of course, we can learn what a cat looks like from just a few examples.


Is Artificial Intelligence really 'intelligent'?

#artificialintelligence

When Artificial Intelligence was in its infancy it was quite natural to give it a sonorous name. It needed to attract money and talent. It has since become a mainstream subject that seeks to imitate human intelligence. See a recent definition: "Artificial Intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages." Speech recognition, I remember the first steps.


Top 10 Advantages & Disadvantages of Artificial Intelligence?

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Artificial Intelligence (AI) does not belong to the future – it is happening now. With the global AI software market surging by 154 percent year-on-year, this industry is predicted to be valued at 22.6 billion US dollars by 2025. Invented by John McCarthy in 1950, Artificial Intelligence is the ability of machines or computer programs to learn, think, and reason, much like a human brain. An AI system is fed in data and instructions, based on which the system draws conclusions and performs functions. It keeps learning human reasoning and logic with time, getting efficient on-the-go.


Computer chess: how the ancient game revolutionised AI

The Guardian

Tue 19 May 2020 06.14 EDT Last modified on Tue 19 May 2020 06.16 EDT When legendary chess grandmaster Garry Kasparov found himself beaten by IBM's Deep Blue supercomputer, it was seen as a seminal moment in the evolution of artificial intelligence. A road trodden by war heroes and student researchers alike, whose singular desire to create a program that could beat the very best in the world would shape an entire science. Early origins Chess lends itself well to computer programming. Where other games can depend more on gut instinct or physical skill, chess is a game of strict binary rules – a move is either correct or it isn't. It's a game where multiple permutations, strategies and responses to moves and gambits could all be pre-programmed.


The future of deep-reinforcement learning, our contemporary AI superhero – TechCrunch

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It was not long ago that the world watched World Chess Champion Garry Kasparov lose a decisive match against a supercomputer. IBM's Deep Blue embodied the state of the art in the late 1990s, when a machine defeating a world (human) champion at a complex game such as chess was still unheard of. Fast-forward to today, and not only have supercomputers greatly surpassed Deep Blue in chess, they have managed to achieve superhuman performance in a string of other games, often much more complex than chess, ranging from Go to Dota to classic Atari titles. Many of these games have been mastered just in the last five years, pointing to a pace of innovation much quicker than the two decades prior. Recently, Google released work on Agent57, which for the first time showcased superior performance over existing benchmarks across all 57 Atari 2600 games.


Don’t Regulate Artificial Intelligence: Starve It

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Artificial intelligence is still in its infancy. But it may well prove to be the most powerful technology ever invented. It has the potential to improve health, supercharge intellects, multiply productivity, save the environment and enhance both freedom and democracy. But as that intelligence continues to climb, the danger from using AI in an irresponsible way also brings the potential for AI to become a social and cultural H-bomb. It's a technology that can deprive us of our liberty, power autocracies and genocides, program our behavior, turn us into human machines and, ultimately, turn us into slaves.


No, You Won't Work Alongside Robots

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In 1997, IBM's Deep Blue defeated the reigning world chess champion Garry Kasparov. The world was in shock. It seemed computers, thus far thought to be little more than glorified calculators, had finally intruded upon the human domain of imagination and creativity. The worry was in vain. Deep Blue had no capacity for ingenuity.


Milestones in artificial intelligence - ThinkAutomation

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From intelligent personal assistants to home robots, technology once thought of as a sci-fi dream is now embedded into everyday life. But this leap from dream to reality didn't happen overnight. There is no one'eureka' moment in a field as vast as AI. Rather, the technology we enjoy today is a result of countless milestones in artificial intelligence, delivered by countless forgotten people across a countless range of projects. So, let's pay homage to some of that work.


The Games That AI Won

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Some tasks that AI does are actually not impressive. Think about your camera recognizing and auto-focusing on faces in pictures. That technology has been around since 2001, and it doesn't tend to excite people. Well, because you can do that too, you can focus your eyes on someone's face very easily. In fact, it's so easy you don't even know how you do it.