Computer science

Google DeepMind’s AlphaFold3 and other deep learning algorithms can now predict the shapes of interacting complexes of protein, DNA, RNA and other molecules, better capturing cells’ biological landscapes.

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.

The computer scientist Ellie Pavlick is translating philosophical concepts such as “meaning” into concrete, testable ideas.

Researchers have shown how to find the simplest description of a data set faster than by simply checking every possibility.

By apparently overtraining them, researchers have seen neural networks discover novel solutions to problems.

The prolific researcher found deep connections between randomness and computation and spent a career influencing cryptographers, complexity researchers and more.

Russell Impagliazzo studies hard problems, the limits of cryptography, the nature of randomness and more.

In the search for the most scalable hardware to use for quantum computers, qubits made of individual atoms are having a breakout moment.

Large language models do better at solving problems when they show their work. Researchers are beginning to understand why.