Artificial intelligence companies are spending billions on chips and infrastructure. Researchers think optical computing could help.
A schematic of a next-generation ultra-thin camera that utilizes metasurfaces, a nano-optical device, to secure light paths: By aligning metasurfaces horizontally on a glass substrate, light reflects ...
Tech Xplore on MSN
Extending optical fiber's ultralow loss performance to photonic chips
Caltech scientists have developed a way to guide light on silicon wafers with low signal loss approaching that of optical fiber at visible wavelengths. This accomplishment paves the way for a new ...
Light triggers atomic shifts in asymmetric 2D semiconductors, tuning their optical response. This enables compact, energy-efficient photonic chips and sensitive sensors. (Nanowerk News) Rice ...
Caltech’s new fiber-like photonic chips achieve record-low visible-light loss, enabling more coherent lasers and next-generation quantum and sensing technologies.
Microsoft’s Experimental Optical Computer Could Run AI Workloads With Less Energy Your email has been sent Research conducted by the Microsoft Research lab in Cambridge could contribute to the ...
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 ...
Electrical signals control a vast number of activities in the human body, from exchanges of messages between brain neurons and stimulation of the heart muscle to the impulses that enable hands and ...
Historically, metasurface research has concentrated on the full manipulation of light's characteristics, resulting in a diverse array of optical devices such as metalenses, metaholograms, and beam ...
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 ...
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