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A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.
Research conducted by the Microsoft Research lab in Cambridge could contribute to the development of AI accelerators.
The prototype is built from commercially available parts, including micro-LEDs, optical lenses, and sensors from smartphone ...
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Can Microsoft's analog optical computer be the answer to more energy-efficient AI and optimization tasks?
The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...
A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...
Early computers could perform fairly complex calculations just by arranging a few analog circuits. By choosing appropriate resistor and capacitor values, arithmetic summers, integrators, and ...
When your only tool is a hammer, everything starts to look like a nail. That’s an old saying and perhaps somewhat obvious, but our tools do color our solutions and sometimes in very subtle ways. For ...
A new compiler for analog computers has been developed, a program that translates between high-level instructions written in a language intelligible to humans and the low-level specifications of ...
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