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- Real-time response for autonomous action
- Only architecture that can leverage sparsity at the edge for low power
- Fully programmable with standard frameworks and languages
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Sylvain Chouleur
Embedded Software Engineer
Mr Mahesh Makhijani
Head, Business Development
Orlando Moreira
Fellow and Chief Architect
Nuno Pires
Senior System Engineer
Remi Poittevin
Head of R&D AI Systems & Applications
Ashoka Visweswara
Director, Product Management
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Name
PRESENTATION: Leveraging sparsity to enable ultra-low latency inferences demonstrated using GrAI One
Date & Time
Tuesday, July 14, 2020, 11:25 AM - 11:50 AM
Speakers


Session Type
Presentation
Virtual Session Link
About Us
Sponsorship Level
Gold Partner
Description
CREATE MAGIC ON THE EDGE WITH GRAI ONE
Ultra-low power, fully programmable neuromorphic computing for sensor analytics and machine learning – powered by brain-inspired technology.
Real-time response for autonomous action
Only architecture that can leverage sparsity at the edge for low power
Fully programmable with standard frameworks and languages
Ultra-low power, fully programmable neuromorphic computing for sensor analytics and machine learning – powered by brain-inspired technology.
Real-time response for autonomous action
Only architecture that can leverage sparsity at the edge for low power
Fully programmable with standard frameworks and languages