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Neuro-symbolic AI brings us closer to machines with common sense

Joshua Tenenbaum, a professor at MIT, explains how neuro-symbolic systems can help to address some of the problems of current AI systems. ....

Alan Turing , Michael Tomasello , Felix Warneken , Joshua Tenenbaum , Massachusetts Institute Of Technology , Massachusetts Institute , Scene Perception , Probabilistic Programming ,

Enterprise Data: Prepare for More Change in This Hot Area of Tech

Last year we started down the new road of uncovering enterprise analytics with machine learning. This year will see an acceleration. Here are some trends to watch. ....

Moves Hard , Defense Advanced Project Agency , Probabilistic Programming , Advancing Machine Learning ,

Probabilistically Programmed Systems See More Like Humans Do | Research & Technology

Probabilistically Programmed Systems See More Like Humans Do | Research & Technology
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Vikashk Mansinghka , Nishad Gothoskar , Marco Cusumano Towner , Courtesy Of Massachusetts Institute Technology , Scene Perception , Probabilistic Programming , Massachusetts Institute , Probabilistic Computing , Dense Fusion , Neural Information Processing Systems ,

Machines that see the world more like humans do

MIT researchers have used probabilistic programming and inverse graphics to develop a framework that enables computer vision systems to more accurately explain 3D scenes observed in 2D images. ....

Matt Turek , Austin Garrett , Marco Cusumano Towner , Falk Pollok , Ben Zinberg , Vikashk Mansinghka , Joshuab Tenenbaum , Matin Ghavamizadeh , Nishad Gothoskar , Dan Gutfreund , Artificial Intelligence Laboratory , Department Of Brain , Aphorism Foundation , Cognitive Sciences , Intel Probabilistic Computing Center , Technology Agency , Watson Ai Lab , Schwarzman College Of Computing , Siegel Family Foundation , Machine Common Sense Program , Probabilistic Computing , Career Development Professor , Cognitive Science , Computer Science , Probabilistic Computing Project , Neural Information Processing Systems ,

Machines that see the world more like humans do

Computer vision systems sometimes make inferences about a scene that fly in the face of common sense. For example, if a robot were processing a scene of a ....

Matt Turek , Austin Garrett , Marco Cusumano Towner , Falk Pollok , Ben Zinberg , Vikashk Mansinghka , Joshuab Tenenbaum , Matin Ghavamizadeh , Nishad Gothoskar , Dan Gutfreund , Artificial Intelligence Laboratory , Department Of Brain , Aphorism Foundation , Cognitive Sciences , Intel Probabilistic Computing Center , Technology Agency , Watson Ai Lab , Schwarzman College Of Computing , Siegel Family Foundation , Machine Common Sense Program , Probabilistic Computing , Career Development Professor , Cognitive Science , Computer Science , Probabilistic Computing Project , Neural Information Processing Systems ,