Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Discoveries can come from the most unlikely places — at least, that's what one high schooler found out, after finding nearly 1.5 million new objects in space.

For companies building real AI and software technology, patent eligibility under §101 has been a persistent frustration. Innovations grounded in ...

AI has fundamentally altered the feasibility of natural product discovery from fungal endophytes. Advances in genome ...

A century after the Flexner Report, medical education faces its next revolution. Discover how AI agents are moving clinical ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...