A new research paper reframes the simulation hypothesis, asking whether reality could be simulated and what science can test.

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

Inverted Yields, Negative Rates, and U.S. Treasury Probabilities 10 Years Forward ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

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

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

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...