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AI Needs Enormous Computing Power. Could Light-Based Chips Help?
Optical neural networks, which use photons instead of electrons, have advantages over traditional systems. They also face major obstacles.
Computer Scientists Invent an Efficient New Way to Count
By making use of randomness, a team has created a simple algorithm for estimating large numbers of distinct objects in a stream of data.
Game Theory Can Make AI More Correct and Efficient
Researchers are drawing on ideas from game theory to improve large language models and make them more consistent.
Scientists Find a Fast Way to Describe Quantum Systems
After years of false starts, a team of computer scientists has found a way to efficiently deduce the Hamiltonian of a physical system at any constant temperature.
Does AI Know What an Apple Is? She Aims to Find Out.
The computer scientist Ellie Pavlick is translating philosophical concepts such as “meaning” into concrete, testable ideas.
Cryptography Tricks Make a Hard Problem a Little Easier
Researchers have shown how to find the simplest description of a data set faster than by simply checking every possibility.
How Do Machines ‘Grok’ Data?
By apparently overtraining them, researchers have seen neural networks discover novel solutions to problems.
Avi Wigderson, Complexity Theory Pioneer, Wins Turing Award
The prolific researcher found deep connections between randomness and computation and spent a career influencing cryptographers, complexity researchers and more.
The Researcher Who Explores Computation by Conjuring New Worlds
Russell Impagliazzo studies hard problems, the limits of cryptography, the nature of randomness and more.