Discover the challenges behind AI's memory wall and explore 8 principles designed to fix memory limitations for smarter ...

Fungal networks may be a promising alternative to tiny metal devices used in processing and storing digital memories and ...

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

Mushrooms have long attracted scientific attention for their complex biological networks and resilience across environments. Those same biological systems, researchers found, can be engineered to ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Khadija Khartit is a strategy, investment, and ...

Dakari Quimby, PhD, is a Clinical Assistant Professor of Psychiatry & Behavioral Sciences at the University of Southern California. School funding based on property values leads to underfunded, ...

Abstract: Implementing digital computing-in-memory (DCIM) based on resistive memory (RRAM) faces several critical challenges due to the small signal margin, large device variations, and large energy- ...

Abstract: The deployment of commercial-off-the-shelf (COTS) GPUs in space has emerged as a promising approach for supporting inorbit deep neural network (DNN) inference. However, unlike terrestrial ...

In this section you'll find photographic features that explore holidays and photography courses, details about members meetings, trials and tribulations of installing new software along with general ...