Go


AlphaGo - The Movie Full Documentary

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With more board configurations than there are atoms in the universe, the ancient Chinese game of Go has long been considered a grand challenge for artificial intelligence. On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined The DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history. Directed by Greg Kohs with an original score by Academy Award nominee, Hauschka, AlphaGo chronicles a journey from the halls of Oxford, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London, and ultimately, to the seven-day tournament in Seoul. As the drama unfolds, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game?


Many Minds: Can artificial minds think creatively?

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Our guest today is Marta Halina, a University Lecturer (Assistant Professor) in the Department of History and Philosophy of Science at the University of Cambridge. Marta's current focus is the philosophy of artificial intelligence. We discuss what philosophers can contribute to AI. We talk about AlphaGo and its stunning defeat of one of the world's most celebrated Go champions. We puzzle over whether artificial minds can think creatively.


Turing Award For Pixar, EfficientNet Lite Release And More:Top AI News

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Regardless of what is happening around the world, the AI community are one productive bunch, and they have something interesting to share almost every day. Here's what is new this week: The short history of deep learning indicates the incredible effectiveness of infinitely wide networks. Insights from these infinitely wide networks can be used as a lens to study deep learning. However, implementing infinite-width models in an efficient and scalable way requires significant engineering proficiency. To address these challenges and accelerate theoretical progress in deep learning, Google's AI team released Neural Tangents, a new open-source software library written in JAX.


Turing Award For Pixar, EfficientNet Lite Release And More:Top AI News

#artificialintelligence

Regardless of what is happening around the world, the AI community are one productive bunch, and they have something interesting to share almost every day. Here's what is new this week: The short history of deep learning indicates the incredible effectiveness of infinitely wide networks. Insights from these infinitely wide networks can be used as a lens to study deep learning. However, implementing infinite-width models in an efficient and scalable way requires significant engineering proficiency. To address these challenges and accelerate theoretical progress in deep learning, Google's AI team released Neural Tangents, a new open-source software library written in JAX.


10 ways Google's DeepMind uses AI across the globe

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DeepMind has attracted mixed headlines since Google paid $50 million for the U.K.-based AI startup in 2014. The awe inspired by DeepMind's AlphaGo system defeating Go world champion Lee Sedol was soon tempered by criticisms of its controversial access to personal health records, which the ICO ruled had breached the Data Protection Act, and the concerns grew when Google announced it would be taking control of DeepMind Health. Trust has wavered ever since, but the AI developed in the DeepMind lab in King's Cross, London, continues to lead the world and is finding its way into some intriguing applications. DeepMind is collaborating with Google's AOI health research team and a group of research institutions, led by the Cancer Research U.K. Centre at Imperial College London to improve the detection of breast cancer. The disease kills 500,000 people around the world every year, partly due to the challenges of detection and diagnosis.


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.


Bot can beat humans in multiplayer hidden-role games

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MIT researchers have developed a bot equipped with artificial intelligence that can beat human players in tricky online multiplayer games where player roles and motives are kept secret. Many gaming bots have been built to keep up with human players. Earlier this year, a team from Carnegie Mellon University developed the world's first bot that can beat professionals in multiplayer poker. DeepMind's AlphaGo made headlines in 2016 for besting a professional Go player. Several bots have also been built to beat professional chess players or join forces in cooperative games such as online capture the flag.


Will There Be A 'Kill Switch' For AI?

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AI systems are constantly evolving. Machine learning models learn from data and experience, and once they are released into the real world, they need to continually be monitored, tested, and retrained on an ongoing basis. It also needs to be created with ethical and responsible frameworks in place. Just because AI is created with good intentions, doesn't mean that the real world applications will go as planned. One poignant example is the embarrassing failure of Microsoft's chatbot Tay, which launched in 2016.


Will There Be A 'Kill Switch' For AI?

#artificialintelligence

AI systems are constantly evolving. Machine learning models learn from data and experience, and once they are released into the real world, they need to continually be monitored, tested, and retrained on an ongoing basis. It also needs to be created with ethical and responsible frameworks in place. Just because AI is created with good intentions, doesn't mean that the real world applications will go as planned. One poignant example is the embarrassing failure of Microsoft's chatbot Tay, which launched in 2016.


AlphaGo Documentary (with English subtitles) (2017)

#artificialintelligence

"With more board configurations than there are atoms in the observable universe, the ancient Chinese game of'Go' has long been considered a grand challenge for artificial intelligence. On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined the Google DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history. Directed by Greg Kohs with an original score by Academy Award nominee, Hauschka, AlphaGo chronicles a journey from the halls of Cambridge, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London, and, ultimately, to the seven-day tournament in Seoul. As the drama unfolds, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game? What can it teach us about humanity?"