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To the surprise of experts in the field, a postdoctoral statistician has solved one of the most important problems in high-dimensional convex geometry.
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.
Two teams found different ways for quantum computers to process nonlinear systems by first disguising them as linear ones.
A cryptographic master tool called indistinguishability obfuscation has for years seemed too good to be true. Three researchers have figured out that it can work.
Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains.
Vinton Cerf helped create the internet 40 years ago, and he’s still working to connect people around the world — and off it.