UB researchers are taking inspiration from the human brain to develop computing architecture that can support the growing ...

It's estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your ...

Memory technology has evolved quickly in recent years, driven by the need to improve on traditional systems. One promising candidate, Magnetoresistive Random Access Memory (MRAM), is gaining ...

When it comes to game engines, many people think of Unreal Engine, Unity, or CryEngine. But none of this would have been possible without Quake Engine ...

Binary-input compressive sensing (BiCS) has recently been applied to wireless communications as a modulated coding scheme for seamless rate adaptation. Different from conventional channel codes which ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Computing-in-memory (CIM) architecture has become a promising solution to improve the parallelism of the multiply-and-accumulation (MAC) operation for artificial intelligence (AI) processors. Recently ...

AI researchers have unveil the Energy-Based Transformer (EBT), a new AI architecture for 'System 2' reasoning that promises ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN ...

The article illustrates techniques for generating parallel logic outputs with industrial serialized digital inputs.

This recognition reflects Synopsys' leadership advancing analog in-memory computing (AIMC) design in a unified analog and mixed-signal development environment that supports next-generation, energy ...