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A new unsupervised learning method inspired by gravitational physics could be close to natural intelligence and AGI.

Computer models now match experiments on particle flow in tokamaks, aiding better designs for future power plants.

Researchers have shown that they can keep quantum entanglement between molecules for about one second, which is a long time.

Researchers discover a stable three-dimensional substance that could enable graphene-like performance in large-scale green computing without fragility issues.

A new AI model that uses LLM technology speaks the language of the physics of crystals and predicts how atoms form crystals. 

Scientists have used quantum information theory to understand how quantum entanglement affects quarks and gluons.

Penn State researchers develop a method called ZENN that helps artificial intelligence adapt to differences in data quality for better scientific discoveries.

A new optical method uses light waves to handle complex AI calculations in one step, offering speed and energy savings over traditional computers.