Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

A psychiatrist's guide to immersive mentorship and the NBA Summer league program developing tomorrow's sports business ...

The rapid advancement of artificial intelligence, machine learning, and large language models presents transformative opportunities for ocean observing; yet ...

There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...

There are two groups that seem absolutely thrilled by the recent revelation that Anthropic is working on a top-secret AI model: the Department of Defense and Anthropic’s fundraising team. On Thursday, ...

ABSTRACT: Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients.

Observational learning plays a critical role in motor skill acquisition. Investigating the neural substrates involved in this process is of great significance for optimizing teaching methodologies and ...

In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in pods surrounded by 360-degree digital screens. Adults wander ...

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...