Episode #101 – The Kind of Artificial Intelligence That Google Doesn’t Care to Build – with Dr. Roger Schank

1 - Google’s Visual AI “Inception”
The in middle of last month, Google published an article on the Google Research blog called “Inceptionism: Going Deeper in Neural Networks.” Frankly, the title didn’t seem all that appealing, and it’s unlikely that it would have jumped out as anything other than science-jargon, even to people signed up for RSS of Google’s blog.

Dr. John MacCormick is the author of the book “Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers,” and in this interview, he shares some of the fundamental algorithms that support modern artificial intelligence, and his optimistic views on the future of AI.

Joanne Pransky received her BA from Tufts University in the mid 1980’s, and began championing public awareness and exposure to robotics and AI technology, playfully calling herself the “first robot psychiatrist.” Since then, she’s been featured on CNN, The Discovery Channel, the Sci-Fi Channel, and even the Tonight Show with Jay Leno - aiming to expose the world to technology and it’s ethical implications.

Dr. Nils Nilsson was one of the early researchers in emerging technology back in the 1960s - graduating with his doctorate from Stanford before it had a computer science department.

Since the inception of the discipline of artificial intelligence (AI) in the 1950s, progress in the field has advanced at a rapid pace. We have seen the development of early neural networks, game AI, the Turing Test, and theories involving expert systems and intelligent agents, but according to Ben Goertzel, there is a specific element of AI today that is significantly missing.