Crop yield prediction is essential in modern agriculture for food security and economic growth. As long as accurate predictions are made by governments can prepare for food shortages, ensure that ...

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 ...

Previously, S&P only had data on about 2 million SMEs, but its AI-powered RiskGauge platform expanded that to 10 million.

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Researchers used machine learning to predict the PAMs of millions of Cas9 enzymes, identifying a set of novel engineered Cas9 enzymes that would have the best on-target activity and specificity.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

The Homicide Prediction Project was “chilling and dystopian”, profiling individuals “as criminals before they have done anything.” ...

Machine learning model, developed by researchers, has a relatively high prediction strength for clinical measures.

Accurate crop yield prediction is critical for global food security, economic planning, and insurance modeling. Traditional process-based (PB) models rely on biophysical equations and empirical data, ...