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Photonic Chips Unveiled as Breakthrough in AI Efficiency and Speed

Lightmatter and Lightelligence debut functional photonic processors that use light for AI computations, offering substantial energy savings and performance gains.

Lightmatter's newest invention could solve AI energy usage issues
Silicon Valley startup Lightmatter's Envise chip, which uses light rather than electrons to carry out computations, is seen in an undated handout photo provided on April 8, 2025. Courtesy Lightmatter/Handout via REUTERS    THIS IMAGE HAS BEEN SUPPLIED BY A THIRD PARTY. NO RESALES. NO ARCHIVES MANDATORY CREDIT
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Overview

  • Lightmatter and Lightelligence have introduced operational photonic chips that perform matrix multiplication using light, a core function in AI processing.
  • These chips integrate photonic and electronic components, achieving faster computations and significantly reduced energy consumption compared to traditional processors.
  • The technology addresses the stagnation of Moore’s Law by circumventing the limitations of shrinking transistors in electronic chips.
  • Manufactured using existing semiconductor production processes, the chips are scalable and could see integration in data centers within five years.
  • While promising, experts predict widespread adoption of photonic computing may take up to a decade due to the need for further optimization and industry adaptation.