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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.
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.
New AI Tools Predict How Life’s Building Blocks Assemble
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.
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.
How Do Machines ‘Grok’ Data?
By apparently overtraining them, researchers have seen neural networks discover novel solutions to problems.
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.
Elliptic Curve ‘Murmurations’ Found With AI Take Flight
Mathematicians are working to fully explain unusual behaviors uncovered using artificial intelligence.
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.
How Quickly Do Large Language Models Learn Unexpected Skills?
A new study suggests that so-called emergent abilities actually develop gradually and predictably, depending on how you measure them.