University of Cambridge researchers have developed a nanoelectronic device built from hafnium oxide that mimics how ...

The LEEMONS project is researching nanostructured silicon that uses low-energy electron multiplication (LEEM) to allow one ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Company expands collaboration with DB HiTek towards AI in-memory-compute applications Israel, March 8, 2026-- Weebit Nano Limited (ASX:WBT) (Weebit or Company), a leading developer and licensor of ...

The national program aims to address the energy and performance limitations of conventional AI accelerators by enabling computation directly within memory arrays. In this ACiM* paradigm, ...

HOD HASHARON, Israel, March 05, 2026 (GLOBE NEWSWIRE) -- Weebit Nano Limited (ASX:WBT) (Weebit or Company), a leading developer and licensor of advanced memory technologies for the global ...

Artificial intelligence is currently an active topic in both scientific research and commercial application as well as daily life. The linear operations of high-dimensional vectors are fundamental and ...

With Moore’s law approaching its end, traditional von Neumann architectures are struggling to keep up with the exceeding performance and memory requirements of artificial intelligence and machine ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits. Memristors, ...