ARM Helium Armv8.1-M architecture, Machine Learning on ARM Cortex-M
Channel: Charbax
Date: 2019-03-03

Jem Davies, ARM VP, Fellow and GM, Machine Learning Group talks about ARM's new Helium Machine Learning architecture for the ARM Cortex-M based microcontrollers, as a follow on to ARM CMSIS-NN Neural Network Kernels which Boosted Efficiency in Microcontrollers by 5x last year, now ARM launches Helium ARMv8.1-M to improve machine learning performance, with up to 50x on machine learning workloads, about 5x improvement in performance for regular DSP based workloads, as open source software and the new ARMv8.1-M architecture to be integrated in Microcontroller designs to come in the future.

Support my video-blog you can become a member at http://youtube.com/charbax/join and you get: 
- early access to all hundreds of unpublished videos
- business cards to contact companies and people that I interview
- show your support, member icon next to your username when you comment and in live chat

Filmed in 4K60 at MWC 2019 with Panasonic G9 ($1133 at https://amzn.to/2EuaQJX) with 12-60mm Leica ($900 at https://amzn.to/2VzFJU7) all my G9 videos are added here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvg_F9pR7IxXwy5bmcErqGeW