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Large language models surpass human experts in predicting neuroscience results, according to a study published in Nature Human Behaviour.

Scientific research is increasingly challenging due to the immense growth in published literature. Integrating noisy and voluminous findings to predict outcomes often exceeds human capacity. This investigation was motivated by the growing role of artificial intelligence in tasks such as protein folding and drug discovery, raising the question of whether LLMs could similarly enhance fields like neuroscience.

Xiaoliang Luo and colleagues developed BrainBench, a benchmark designed to test whether LLMs could predict the results of neuroscience studies more accurately than human experts. BrainBench included 200 test cases based on neuroscience research abstracts. Each test case consisted of two versions of the same abstract: one was the original, and the other had a modified result that changed the study’s conclusion but kept the rest of the abstract coherent. Participants—both LLMs and human experts—were tasked with identifying which version was correct.

A hidden microcontinent, the Davis Strait, lies beneath the North Atlantic. Formed 33–61 million years ago, it reveals Earth’s tectonic secrets and reshapes geology.

Panqualityism.

Series a financing led by andreessen horowitz to drive ai-powered legal transformation.

A proton is the only stable example of a particle composed of three quarks. But inside the proton, gluons, not quarks, dominate.

Errors in quantum computers are an obstacle for their widespread use. But a team of scientists say that, by using an antimony atom and the Schrödinger’s Cat thought experiment, they could have found a way to stop them.

UK researchers used special optical tweezers to attain quantum entanglement of molecules that could unlock multiple applications in quantum computing.

Researchers predict the existence of a class of particles that behave differently from those already known.

Researchers find that two types of biological magnetic sensor can sense fields close to the quantum limit, a finding that could guide the design of lab-made devices.

Researchers have built an optical clock using an array of trapped ions—an architecture that can be scaled up to boost the clock’s precision.