EPISODE · Sep 9, 2025 · 2 MIN
Can Light-Based Computing Revolutionize AI Efficiency?
from GREY Journal Daily News Podcast
Microsoft introduced a prototype analog optical computer that uses light to perform calculations, aiming to make artificial intelligence tasks up to one hundred times more energy efficient. The system leverages micro-LEDs and camera sensors to process information in the analog domain, reducing energy consumption and overcoming digital speed limitations. The prototype matched digital computers in image classification and, through a digital twin model, reconstructed brain scan images with less data. The technology also outperformed some quantum computers in financial optimization tasks. Microsoft plans to scale the system to handle more variables as hardware advances.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.
What this episode covers
Microsoft introduced a prototype analog optical computer that uses light to perform calculations, aiming to make artificial intelligence tasks up to one hundred times more energy efficient. The system leverages micro-LEDs and camera sensors to process information in the analog domain, reducing energy consumption and overcoming digital speed limitations. The prototype matched digital computers in image classification and, through a digital twin model, reconstructed brain scan images with less data. The technology also outperformed some quantum computers in financial optimization tasks. Microsoft plans to scale the system to handle more variables as hardware advances.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.
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Can Light-Based Computing Revolutionize AI Efficiency?
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