Morning Overview on MSN
Radical new computer could ditch electricity for light and supercharge processing
Computing is hitting a physical and economic wall just as generative artificial intelligence explodes in complexity and cost. The traditional trick of cramming more transistors onto silicon is running ...
Tech Xplore on MSN
Q&A: Could light-powered computers reduce AI's energy use?
A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...
Hosted on MSN
Electro-optical Mott neurons made of niobium dioxide created for brain-inspired computing
Over the past decades, engineers have introduced a wide range of computing systems inspired by the human brain or designed to emulate some of its functions. These include devices that artificially ...
Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power ...
Optical logic gates represent a cutting‐edge approach to perform computation entirely with light, bypassing the limitations inherent to electronic components. By exploiting light’s phase, intensity, ...
(Nanowerk Spotlight) Every time you send a text message or browse the internet, your device processes information using tiny electronic switches that flip on and off millions of times per second. But ...
As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter systems has driven researchers to an unlikely ally—light itself. A new study by ...
400G/Lane, TFLN modulator-based innovation to play a key role in the future of computing QCi will leverage its expertise with TFLN to integrate the high-performance 400G/Lane modulators with the POET ...
BEIJING, Sept. 29, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...
Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that can accelerate and dramatically reduce the energy cost of AI computation, ...
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