New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Large language models already read, write, and answer questions with striking skill. They do this by training on vast libraries of text. Once that training ends, though, the model’s knowledge largely ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of ...

Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...