By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...

Led by Dr. Marco Funari, the project focused on developing a 3D model of a Grade I listed historic site, providing an ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Researchers using the Frontier supercomputer at Oak Ridge National Laboratory have identified aerothermal flaws in jet engine ...

Researchers at Pompeu Fabra University (UPF) have made a great leap toward predicting the risk of hip fracture among people with osteoporosis and evaluating the effectiveness of specific drugs to ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...