Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

In just a few years, large language models (LLMs) have expanded from millions to hundreds of billions of parameters, ...

Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

Today, we sat down with Prova to discuss her journey, her research philosophy, and why adaptability and interpretability ...

In the late 20th century, the Silicon Age transformed the world with the discovery and refinement of semiconductors that are the foundation of modern electronics. We are now in the era of advanced ...