Live Q&A - Neural Networks: From GPU to MCU - presented by Louis Gobin

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Topic(s) Covered

Hardware Machine Learning Microcontroller

About Louis Gobin

Louis Gobin is a Product Marketing Engineer supporting Artificial Intelligence (AI) solutions in STMicroelectronics Americas Region and has held this position since February 2022.

Gobin started his career as a machine-learning applications engineer for Cartesiam, based in New York. After ST acquired Cartesiam, Gobin moved to Santa Clara, CA in 2021 to take on the role of Field Application Engineer. He transferred into Product Marketing Engineer position in early 2022.

About STMicroelectronics

Electronic circuits form a mostly invisible part of the world we live in today. These circuits are present in microchips or just "chips", which combine the latest advances in performance, intelligence and, efficiency. Hundreds or thousands of these chips are integrated into each of the millions and billions of electronic devices people across the globe interact with every day. It is in this unseen realm that STMicroelectronics creates the sparks that animate the products we use at any given moment. Our technology is found everywhere microelectronics makes a positive contribution to people's lives. Chips from ST embedding the most advanced innovations are an essential part of products as diverse as cars and key fobs, giant factory machines and data center power supplies, washing machines and hard disks, and smartphones and toothbrushes. We help our customers make these devices more intelligent, more energy efficient, more connected, safer and more secure.

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Live Q&A - Neural Networks: From GPU to MCU

Louis Gobin - STMicroelectronics - Watch Now - EOC 2023 - Duration: 24:00

Abstract Questions & Comments (2) Chat Transcript

Live Q&A with Louis Gobin for the theatre talk titled Neural Networks: From GPU to MCU

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Upvotes Newest Oldest

mohammed.eshaq

Score: 1 | 2 years ago | no reply

We are unable to download the slides even.

mohammed.eshaq

Score: 1 | 2 years ago | no reply

Excellent tools and presentation! How can we download this session video for our future refference. It is very useful and important for the work that I do.

10:36:49	 From  BobF : How flexible (customisable) is this middleware/cloud applications (EdgeAI ; Cube.AI) for the ever-expanding range of intelligent sensor technologies, as opposed to dumb ones that just feed-out streams of data?
10:38:42	 From  Puru Patil : Is this applicable for cortexM4 level MCUs?
10:39:07	 From  Puru Patil : and is code in C or C++?
10:39:36	 From  Puru Patil : it's better be in C++ ;-)
10:39:49	 From  Puru Patil : ok thanks, Jacob!
10:40:08	 From  Allen Ren : Cube.AI Developer Cloud getting started video: https://youtu.be/TsIpchBPjQk.  Documentation for more details: https://stm32ai-cs.st.com/documentation
10:48:27	 From  BobF : Presumably, the slides are probably, and a great deal more, are available from the easily navigatible STM website. This (website resources) deserves recommending.
10:53:00	 From  BobF : Modelling optimisation .... but at what costs?
10:56:07	 From  Allen Ren : stm32 ai solution landing page: http://stm32ai.st.com/

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