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

A power-up from reactive IT operationsUnlock the future of ITOps with no-code ML.Issued by ITR TechnologyJohannesburg, 23 Jul 2025More content from eBooksMachine learning models: A power-up from ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Innovative gas sensors paired with machine learning analyze microbial VOCs, providing a cost-effective solution for rapid ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

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 ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Abridge developed a medical record template specifically for pediatric providers with a focus on primary care well visits.

It is challenging to train both classical and modern machine-learning force fields using the variety of experimental data available. Reversible simulation, a method to train force fields to match many ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...