Skip to main content

Photonic neural networks used to cut the cost of AI

Elham Heidari’s lab

UF students work in Elham Heidari’s lab (Image: University of Florida)

Research finds optical feature extraction can boost AI speed and cut energy use

Register for FREE to keep reading

Join 15,000+ photonics professionals staying ahead with:

  • Exclusive insights, funding alerts & market trends
  • Curated newsletters and digital editions
  • Access to The Photonics100 list of R&D champions
  • Exclusive panels & roundtables for professional development
  • Technical White Papers & product updates to guide smarter decisions

Sign up now

Already a member? Log in here

Your data is protected under our privacy policy.

Electro Optics covers

 

Media Partners