Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Scientists created a large open database that uses light patterns to help satellites detect plastic in oceans more accurately ...
Dr Dale is a physical oceanographer and studies the currents and the stratification; the salinity, where the low salinity water is sitting and how thick it is. So he is interested in how the lice ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
By reviewing three decades of AI applications in electrocatalysis, researchers reveal how the field has shifted from isolated data analysis toward end-to-end, data-driven discovery. The work ...
Hypertension is the leading risk factor for cardiovascular disease, the most common cause of death worldwide. Less than half the people with high blood pressure are aware of their diagnosis, and only ...
Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...
The approximately 5 billion people who use the internet daily leave traces of their activity behind. Companies use these data to learn user interests, purchase history, and other browsing habits, and ...
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
In this week's AI wrap-up, a post about the death of white-collar jobs rocks Silicon Valley.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results