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Light-Speed AI: Optical Computers Slash Energy Use
12 Feb
Summary
- Optical computers use light, not electricity, potentially reducing AI energy consumption.
- Penn State researchers developed a prototype using light 'reverberation' for AI.
- Commercial AI optical computers are expected within two to five years.

Optical computers, a concept explored since the 1960s, are emerging as a promising solution to the substantial energy demands of artificial intelligence. Researchers at Penn State have published findings on a novel approach using light to perform calculations, aiming to reduce the power consumption of AI systems.
The team's proof-of-concept prototype utilizes an "infinity mirror" setup to create necessary nonlinear functions for AI, avoiding the need for high-power lasers or specialized materials. This method allows light to 'reverberate' within a simple, low-power system, achieving comparable performance to traditional digital networks.
As AI adoption grows, its energy footprint becomes a significant concern, with data centers accounting for a substantial and increasing portion of global energy consumption. Optical computing offers a potential pathway to more energy-efficient AI hardware.
While still in the research phase, commercial AI optical computers are estimated to be two to five years away, depending on investment. The future likely involves a hybrid approach, where optical chips complement traditional electronics for specific, high-volume computations within AI systems.



