Every computer needs Random Access Memory (or RAM) for an operating system’s temporary storage, and there’s many ways to ...

To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...

Researchers focus on limiting data movement to reduce power and latency in edge devices. In popular media, “AI” usually means ...

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, ...

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently ...

In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...

VANCOUVER, BC, Jan. 15, 2025 /PRNewswire/ - BTQ Technologies Corp. (the "Company") (CBOE CA: BTQ) (FSE: NG3) (OTCQX: BTQQF), a global quantum technology company focused on securing mission-critical ...

Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...