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

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...

A team of UChicago psychology researchers used fMRI scans to learn why certain moments carry such lasting power ...

Explore the top 7 API automation testing tools for software developers in 2025, their features, strengths, pricing, and how they enhance API reliability and performance.

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Abstract: Computing-in-memory (CIM) has been proven to achieve high energy efficiency and significant acceleration effects on neural networks with high computational parallelism. Based on typical ...

Abstract: This paper introduces a novel Large Language Model (LLM)-based system designed to enhance learning effect through Socratic inquiry, thereby fostering deep understanding and longterm ...