Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Greater adherence to healthful plant-based dietary patterns was associated with lower breast cancer incidence and reduced all ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

Abstract: Emergency events in a city cause considerable economic loss to individuals, their families, and the community. Accurate and timely prediction of events can help the emergency fire and rescue ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

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 ...

For retailers and investors, the message is that consumers are still in the game—they’re just demanding a clearer value ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

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