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You are here: Home / Seminars / Colloquium / Photonic computing for extreme-scale AI

Photonic computing for extreme-scale AI

Laurent Daudet (Université Paris VII & LightOn)
When Dec 13, 2021
from 11:00 to 12:00
Where Salle Condorcet
Attendees Laurent Daudet
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Recent « foundation » Machine Learning models, in the wake of OpenAi’s GPT-3 model for NLP, offer tremendous potential for research and applications. However, training such extreme-scale models requires massive amounts of computing resources, already challenging the capacity of some of the largest supercomputing architectures. In this talk I will present LightOn’s view on how future AI hardware and software should be co-designed, to address some of the hardest computing challenges, such for scaling up language models, recommender systems, or graph neural networks. In particular, I will discuss how Optical Processing Units (OPUs) can already be seamlessly integrated into a variety of hybrid photonics / silicon pipelines, leveraging randomized algorithms for Machine Learning and Scientific Computing.

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