Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.

Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

CLA is a simple toy library for basic vector/matrix operations in C. This project main goal is to learn the foundations of CUDA, and Python bindings, using ctypes as a wrapper, through simple Linear ...

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

Abstract: In this paper, we propose an over-the-air (OTA)-based approach for distributed matrix-vector multiplications in the context of distributed machine learning (DML). Thanks to OTA computation, ...

Bad actors are leveraging browser notifications as a vector for phishing attacks to distribute malicious links by means of a new command-and-control (C2) platform called Matrix Push C2. "This ...

Cybercriminals have a new, user-friendly tool for turning your browser alerts into a vector for phishing attacks. "Matrix Push" is slick, it's pretty, and it's about as easy to use as any commercial ...

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization efforts. The Series C round was led by Bullhound Capital, Triatomic Capital and ...