Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

PG-MDAN embeds this physics-informed transferability measure in domain adversarial pre-training for better adaptation ability. Numerical experiments based on two real-world urban network traffic ...

Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...

AI godfather Geoffrey Hinton had a lively academic debate with former protégé Nick Frosst—also the co-founder of leading ...

A new technology that uses clinical MRI machines to image metabolic activity in the brain could give researchers and ...

A team of astronomers say they've gleaned the mysterious structures of our galaxy's supermassive black hole by training an AI ...

(via Dr. Becky) The Nobel Prize in Physics is the biggest prize in all of physics - it’s what every scientist secretly hopes their work will lead to. To be included in the list of greats that have ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

High-fidelity quantum control is one of the key elements in quantum computing and information processing. In view of possible inaccuracies in quantum system modeling and inevitable errors in control ...