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AI Reveals New Possibilities in Matrix Multiplication
Inspired by the results of a game-playing neural network, mathematicians have been making unexpected advances on an age-old math problem.
New Chip Expands the Possibilities for AI
An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices, reaching the same accuracy as wasteful digital computers.
New Entanglement Results Hint at Better Quantum Codes
A team of physicists has entangled three photons over a considerable distance, which could lead to more powerful quantum cryptography.
The Computer Scientist Who’s Boosting Privacy on the Internet
Harry Halpin wants our internet conversations to be more private. He’s helped create a new kind of network that might make it possible.
How Do You Prove a Secret?
Zero-knowledge proofs allow researchers to prove their knowledge without divulging the knowledge itself.
Machine Learning Highlights a Hidden Order in Scents
Efforts to build a better digital “nose” suggest that our perception of scents reflects both the structure of aromatic molecules and the metabolic processes that make them.
Chaos Researchers Can Now Predict Perilous Points of No Return
A custom-built machine learning algorithm can predict when a complex system is about to switch to a wildly different mode of behavior.
How Transformers Seem to Mimic Parts of the Brain
Neural networks originally designed for language processing turn out to be great models of how our brains understand places.
How Shannon Entropy Imposes Fundamental Limits on Communication
What’s a message, really? Claude Shannon recognized that the elemental ingredient is surprise.