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

You are not one self, but many. Psychology and neuroscience now agree that our identity is made of parts, shaped by brain ...

AI models are trained to optimize outputs, but in educating children, the process is the point. If we assess children only in ...

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

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

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Letta’s model-agnostic framework lets AI agents think while idle, combining memory refinement, precomputed responses, and ...

A Cauer network resistivity model is proposed for soft magnetic composite (SMC) materials. The model is immediately available in both time- and frequency domains. The network components are expressed ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

Most memristor-based Pavlov associative memory neural networks strictly require that only simultaneous food and ring appear to generate associative memory. In this article, the time delay is ...