The video links to an overview of the backing research program, https://medium.com/swlh/neurosymbolic-ai-to-give-us-machines-with-true-common-sense-9c133b78ab1

The video links to an overview of the backing research program, https://medium.com/swlh/neurosymbolic-ai-to-give-us-machines-with-true-common-sense-9c133b78ab13 https://medium.com/swlh/neurosymbolic-ai-to-give-us-machines... , and from there I would look at the MIT site: https://mitibmwatsonailab.mit.edu/category/neuro-symbolic-ai/ https://mitibmwatsonailab.mit.edu/category/neuro-symbolic-ai... The underlying big idea, as quoted from the medium article: They posit that humans are born with a pre-programmed rough understanding of the world, in some ways analogous to the game engines used to build interactive immersive video games. This “game engine in the head” provides the ability to simulate the world and our interactions with it, and serves as the target of perception and the world model that guides our planning. Crucially, this game engine learns from data, starting in infancy, to be able to model the actual situations — the endless range of “games” — we find ourselves in. It is approximate yet gets more and more efficient — to the point that very quickly, humans make instant mental approximations that are good enough to thrive in the world. And, the researchers think, it’s possible to replicate this type of system in a machine by embedding ideas and tools from game engine design inside frameworks for neurosymbolic AI and probabilistic modeling and inference known as probabilistic programs.