LinkedIn’s head of engineering for talent solutions explains how fine-tuned LLMs and agentic AI architectures are replacing traditional search methods to save recruiters four hours per role ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...

Microbioreactors predict effects of parameter changes on pilot-scale fermentations with a high degree of accuracy.

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...

"AI is fundamentally changing how software is built, but not in the way many headlines suggest," Joisa explains. "Instead of replacing engineers, it’s reshaping the workflow by automating repetitive ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...