As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to modern microservices architectures—I’ve watched the AI boom with growing concern ...

A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

Scientists have discovered how a key protein helps maintain strong connections between brain cells that are crucial for learning and memory. Results of the study, published in the journal Science ...

At least 9 million Indians are living with dementia. The number is set to double by 2036, but care systems remain unprepared ...

Discover 13 Claude Code tips to boost productivity, automate tasks, and simplify coding workflows. Perfect for developers and project managers ...

Intuitively, Marc Chavez says he knew that school really wasn’t a good fit for him as a teen. It wasn’t just that he was goofing off, but the material wasn’t engaging and didn’t speak to him because ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Spin-wave networks may unlock energy-efficient AI computing. Discover the tech reshaping hardware demands for greener AI.

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

A research team has identified, for the first time in humans, and in a realistic environment, a key neurophysiological ...

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...