For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Explore the strategic technology trends that will shape 2026, from AI supercomputing platforms to AI-native development, and ...

AGI refers to the idea of AI that can think or learn as broadly as a human. ASI takes that idea further, imagining systems ...

Right at the brink of a black hole, gravity twists space and time so violently that ordinary physics starts to fall apart.

More than 25 million cubic yards of rock and ice broke loose and plunged into Greenland's Dickson Fjord, creating a ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...