We can dream, we can hallucinate, we can create — so how do we build those capabilities into AI? Deep-learning expert Anima Anandkumar and distinguished theoretical physicist John Ellis discuss the potential for artificial intelligence to one day collaborate with us in attacking the biggest unanswered questions in physics — questions which have outwitted humans for years...
Episode 2 collides two rockstars of the world of artificial intelligence to reimagine the field for the next generation. Is consciousness quantum or just me talking to myself? Could quantum computing unlock a step change in artificial intelligence? Our guests also get down to earth on the need for AI to tackle real-world data-poor problems from hiring bias to diagnosing manic episodes in bipolar sufferers. There is a recurring flaw in applied artificial intelligence, argues Ming...
Do we need to understand the brain to make progress in artificial intelligence? In the first podcast in the series, Stuart Russell and Tomaso Poggio contrast “deep learning” with our own organic neural networks. In an age of great demonstrations by the likes of Deep Mind and OpenAI, our guests make the case for focusing on controlled experimentation, and question the wisdom of using AI in science before it is fully understood...