Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Machine learning models can predict postoperative hyperopic shift in patients with primary angle-closure glaucoma.

A few years ago, AI mostly showed up as clunky chatbots that struggled with the simplest questions. Today, the same family of ...

Journal Editorial Report: The week's best and worst from Jason Riley, Allysia Finley and Kyle Peterson. Scale drives efficiency—for almost a century, industrial planners have relied on this simple ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...

Cardano (ADA) is still in negative territory, unable to rebound as the broader crypto market struggles to recover from a dramatic crash this week that led to approximately $110 billion being erased ...

Learning curves for experienced laparoscopic surgeons transitioning to the robotic platform are still unknown. With the new availability of objective performance indicators (OPIs), which provide ...

Is Rishab Shetty's Kantara Chapter 1 struggling to turn a profit despite ₹600 crore box office haul? Here's the truth Bangladesh crackdown: 15 army officers arrested; accused in enforced disappearance ...

Department of Anesthesiology, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China Background ...

Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...

One organization, Texas Values, is leading the rollout. It's one of the groups that helped pass Senate Bill 10. The reversal of the Texas Dream Act is leaving many undocumented university students in ...