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By Exploring Virtual Worlds, AI Learns in New Ways
Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategy to teach their virtual agents new tricks.
How to Make the Universe Think for Us
Physicists are building neural networks out of vibrations, voltages and lasers, arguing that the future of computing lies in exploiting the universe’s complex physical behaviors.
Powerful ‘Machine Scientists’ Distill the Laws of Physics From Raw Data
Researchers say we’re on the cusp of “GoPro physics,” where a camera can point at an event and an algorithm can identify the underlying physics equation.
Researchers Gain New Understanding From Simple AI
Language processing programs are notoriously hard to interpret, but smaller versions can provide important insights into how they work.
Machine Learning Reimagines the Building Blocks of Computing
Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.
Will Transformers Take Over Artificial Intelligence?
A simple algorithm that revolutionizes how neural networks approach language is now taking on image classification as well. It may not stop there.
In New Math Proofs, Artificial Intelligence Plays to Win
A new computer program fashioned after artificial intelligence systems like AlphaGo has solved several open problems in combinatorics and graph theory.
AI Overcomes Stumbling Block on Brain-Inspired Hardware
Algorithms that use the brain’s communication signal can now work on analog neuromorphic chips, which closely mimic our energy-efficient brains.
Machine Learning Becomes a Mathematical Collaborator
Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures.