The model reveals that more connected brain regions are more prone to damage, while isolated areas remain resilient. This approach offers a powerful framework for understanding disease progression and ...

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

Scientists have built a graphene-based device that can taste with near-human accuracy in a breakthrough that pushes artificial sensing closer to human ability. The system uses machine learning to ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Machine-learning model can reliably predict cognitive performance based on lifestyle indicators by Diana Yates, University of Illinois at Urbana-Champaign edited by Gaby Clark, reviewed by Andrew ...

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.