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 ...

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

The article outlines a multidisciplinary approach to predictive maintenance in underground mining, leveraging AI to improve equipment reliability and safety.

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

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 ...

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

Platforms like Stats Edge and GRID Insights have made such systems commercially viable, combining player and team data, projection engines, real-time match tracking, and predictive features. GRID ...

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 ...

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 ...