Bryan Catanzaro - NVIDIA - LinkedIn
View Bryan Catanzaro’s profile on LinkedIn, a professional community of 1 billion members. Experience: NVIDIA · Education: UC Berkeley · Location: Santa Clara · 500+ connections on …
- 500+ connections
- Location: NVIDIA
How Bryan Catanzaro jump-started Nvidia’s AI Big Bang
Sep 28, 2023 · Bryan Catanzaro had spent many years trying to get his colleagues at Nvidia to care about deep learning, but nobody seemed too interested in something that seemed like …
Author: Bryan Catanzaro | NVIDIA Technical Blog - NVIDIA …
Bryan Catanzaro is vice president of Applied Deep Learning Research at NVIDIA, where he leads a team finding new ways to use AI to improve projects ranging from language understanding …
Bryan Catanzaro - Google Scholar
Proceedings of the IEEE/CVF conference on computer vision and pattern …
AI Innovators: Deep Learning Pioneer Bryan Catanzaro on ... - Forbes
Nov 16, 2018 · Meet Bryan Catanzaro, Vice President of Applied Deep Learning Research at NVIDIA. Coming from a B.S. in Computer Engineering, M.S. in Electrical Engineering from …
Bryan Catanzaro joins NVIDIA as Vice President of applied deep …
Nov 3, 2016 · EECS alumnus Bryan Catanzaro, Ph.D. ’11 (advisor Prof. Kurt Keutzer) has joined NVIDIA as the Vice President of applied deep learning research.
Bryan CATANZARO | PhD | NVIDIA, CA | Nvidia | Department of …
Bryan CATANZARO | Cited by 21,742 | of NVIDIA, CA (Nvidia) | Read 142 publications | Contact Bryan CATANZARO
Bryan Catanzaro | IEEE Xplore Author Details
Bryan Catanzaro is VP of Applied Deep Learning Research with NVIDIA. He leads a team that researches in new ways to use deep learning for VLSI and computing system design, …
Bryan Catanzaro - The AI Conference
Bryan Catanzaro is vice president of Applied Deep Learning Research at NVIDIA, where he leads a team finding new ways to use AI to improve projects ranging from language understanding …
Bryan Catanzaro is VP of Applied Deep Learning Research at NVIDIA, where he leads a team solving problems in domains ranging from video games to chip design using deep learning.
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