A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Getting an up-close view of life at the cellular level can be as simple as placing onion skin under a microscope and adjusting the knobs. Peering deeper, into the heart of the atoms within, isn't as ...

Media mix models have helped advertisers make sense of marketing effectiveness since the 1960s. As platforms lean further into automated, probabilistic optimization, it becomes tempting to hand over ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.

Advances in organ and computer models are raising the prospect that some animal experiments could be eliminated. But there ...

Many people who don’t believe one conspiracy theory about that station—known as the High-frequency Active Auroral Research Program, or HAARP—believe another. A common misconception is that it can ...

Before a massive container ship ever touches the ocean, engineers often test a miniature version in specialized wave tanks to predict how the real vessel will behave at sea. In this video we explore ...

What are meteorologists supposed to do when the models they rely on disagree so sharply? And how should you interpret the forecast?