SAN FRANCISCO – Dec. 7, 2022 – A CEA-Leti tutorial presented at IEDM 2022 highlighted promising advantages that resistive random-access memory (RRAM) technologies hold for implementing novel ...

The Semiconductor Device Research Laboratory (SDRL) is working on manufacturing semiconductors in space and using memory technology based on the mechanisms of the brain. The SDRL is researching how to ...

(Nanowerk News) An international team of researchers has designed and built a chip that runs computations directly in memory and can run a wide variety of artificial intelligence (AI) applications–all ...

(Nanowerk Spotlight) The human brain's remarkable efficiency and cognitive abilities have long inspired researchers to create computing systems that can rival its performance. Yet, despite significant ...

In the recent years, artificial intelligence (AI) and Internet of Things have progressed rapidly, driving advancements in areas like speech recognition, image classification in autonomous vehicles, ...

AI and conventional computers are a match made in hell. The main reason is how hardware chips are currently set up. Based on the traditional Von Neumann architecture, the chip isolates memory storage ...

A new technical paper titled “Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing” was published by researchers at Politecnico di Milano, IUNET and ...

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

A human’s way of processing information can be used as a model to train next-generation artificial intelligence (AI) systems, according to research published Jan. 22 in Nature. Cory Merkel, an ...

The latest research progress in the field of MXene-based neuromorphic computing is reviewed. The design strategy of MXene-based neuromorphic devices encompasses multiple factors are summarized, ...