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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.
The Best Qubits for Quantum Computing Might Just Be Atoms
In the search for the most scalable hardware to use for quantum computers, qubits made of individual atoms are having a breakout moment.
How Chain-of-Thought Reasoning Helps Neural Networks Compute
Large language models do better at solving problems when they show their work. Researchers are beginning to understand why.
Physicists Finally Find a Problem That Only Quantum Computers Can Do
Researchers have shown that a problem relating to the energy of a quantum system is easy for quantum computers but hard for classical ones.
New Breakthrough Brings Matrix Multiplication Closer to Ideal
By eliminating a hidden inefficiency, computer scientists have come up with a new way to multiply large matrices that’s faster than ever.
How Selective Forgetting Can Help AI Learn Better
Erasing key information during training results in machine learning models that can learn new languages faster and more easily.