Introducing Arm’s AI Virtual Tech Sessions for Software Developers
Technical, hands-on training, demos and insights
The series begins with six talks focusing on tinyML; machine learning techniques and practices for building applications on constrained low-power IoT microcontrollers. From efficiently implementing ML on the NXP i.MX RT1060 crossover MCU, to using Tensorflow Lite for Microcontrollers and training models in high-level libraries such as Pytorch, the series has something for all embedded and machine learning developers.
We want to help you gain new insights, sharpen your skills, and connect you with some of our industries top machine learning experts. Each talk will include a demo or tutorial, walking you through the necessary steps to get started with tinyML development, as well as a Q&A with the speakers.
The schedule
We have just published the first series of tech talks on our website and we are releasing new talks every month. Talks take place on Tuesday's at 8am PT, 4pm BST and 11pm CST. Here is a summary of the scheduled sessions:
June 16
Machine learning for embedded systems at the edge
Anthony Huereca, Systems Engineer, Edge Processing, NXP; Kobus Marneweck, Senior Product Manager, Arm
June 30
tinyML development with Tensorflow Lite for Microcontrollers and CMSIS-NN
Fredrik Knutsson, technical lead, Arm
July 14
Demystify artificial intelligence on Arm MCUs
Francois de Rochebouet, CTO and co-founder, Cartesiam.ai
July 28
Speech recognition on Arm Cortex-M
Vikrant Tomar, founder and CTO, Fluent.ai; Sam Myer, lead developer, Fluent.ai
August 11
Getting started with Arm Cortex-M software development and Arm Development Studio
Pareena Verma, Principal Solutions Architect, Arm
August 25
Efficient ML across Arm from Cortex-M to Web Assembly
Jan Jongboom, CTO, Edge Impulse
For full tech talk abstracts and to register for tech talk reminders, please click here.
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