The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems understand, learn, and proactively execute tasks, blurring the line between tool ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, according to a study led by Northeastern University computer science graduates.

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 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

The analysis found that neural networks were used in more than half of the studies (55%) — including some deep learning, while support vector machine and decision tree/random forest techniques were ...

Azure Machine Learning provides comprehensive, end-to-end support for the entire machine learning lifecycle, from data preparation to model deployment and monitoring, making it easy to get started ...

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.