Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Roche researchers have set out how patient-derived organoids, automation and high-content imaging have combined within the ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

In this first installment in a multi-part series from our annual AI Thought Leaders survey, we asked our experts which ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

As more organizations consider a mixture of experts strategy, it's important to understand its benefits, challenges and how ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...

Over the course of 2025, deepfakes improved dramatically. AI-generated faces, voices and full-body performances that mimic ...