Upgrade 2025: Innovation for the New Reality

Photonics, AI, and Machine Learning

Speakers:
Yosuke Aragane, VP, Head of IOWN Development Office, NTT
Marc Jankowski, Scientist, PHI Lab, NTT Research, Inc.
Ram Velaga, Senior Vice President and General Manager, Core Switching Group at Broadcom
Moderator:
Ashish Vengsarkar, Google, Retired

Summary

Photonics, AI, and Machine Learning

In the age of AI, photonics is being explored with greater urgency. As a leader in the field and its applications, our advancements in IOWN include new materials such as thin-film lithium niobate (TFLN) and photonics-electronics convergence devices (PECs), both of which offer new capacities to address the demands of AI and machine learning. More speed. Greater power efficiency. They are already coins of the realm, but they will be more so in the near future as we face the vast demand for computing power while maintaining our energy footprint.

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