As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

As I mention often on this blog, I have a great interest in the universe—astrophysics, quantum mechanics, cosmology, all that stuff. With that, I’m no expert in any of it. I just enjoy reading and ...

New Rutgers research suggests much of the seemingly endless waiting for complex medical care can be engineered away by recreating operations inside a computer and testing countless possible ...

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

Abstract: This work presents a novel perspective towards generating automated multiple-choice questions (MCQs)-a task fundamentally different due to the highly dynamic nature of computer science ...

OpenEvidence, a fast-growing start-up, is using artificial intelligence to help doctors find answers to clinical questions for diagnosis and treatment. OpenEvidence, a fast-growing start-up, is using ...

Abstract: Identifying predictive world models for robots from sparse online observations is essential for robot task planning and execution in novel environments. However, existing methods that ...

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...