Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Advanced computing is being utilized to predict a key occurrence in nuclear fission reactions, which could help improve energy production in future plants, according to a new stud ...

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

In today’s ACT Brief, we highlight how Bayesian methods are gaining operational traction, a major patient advocacy merger is streamlining clinical trial access, and machine learning is reshaping trial ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

In a unique class hosted at the Smithsonian Conservation Biology Institute, early-career ecologists learned to apply emerging ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Artificial intelligence has moved from pilot projects to a central role in many life sciences strategies. What began as a set ...

It's been 10 years since Go champion Lee Sedol lost to DeepMind's AlphaGo. Has the technology lived up to its potential?