Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

This study explores the development of two predictive models for the yield sooting index (YSI) of various fuels using the advanced capabilities of machine learning (ML), particularly multilayer ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

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.

New machine learning model improves corn yield forecasts in drought-affected areas Accurate crop yield prediction is critical for global food security, economic planning, and insurance modeling.

Google’s X “moonshot factory” this week announced its latest graduate. Heritable Agriculture is a data- and machine learning-driven startup aiming to improve how crops are grown.

Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital ...