A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.

The proof-of-concept technology removes a layer of digital “poison” meant to disrupt AI models that scrape online images for ...

Read more about Researcher and Analyst. Deep reasoning and agent flows in Microsoft Copilot Studio We’re also announcing deep reasoning and agent flows in Microsoft Copilot Studio, a comprehensive ...

In this large multicenter study, over one-third of patients failed to meet ePRO-guided nutritional targets, highlighting substantial challenges in adherence. Further, we identified key predictors ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.

Unreasonable iteration number and step-size setting limit the performance of adversarial attacks. To deal with this issue, we propose a variable step-size double-iteration (VSDI) white-box attack. Due ...

Alan Cheng, high school superintendent for New York City Public Schools, leads a portfolio of 50 innovative schools—including those in the Internationals Network for Public Schools, the New York ...