Turn back the clocks three months and the events industry was in turmoil. Leading industry events across the globe were being canceled or scaled-down significantly, and the next opportunity of a face-to-face event was very uncertain. But now, our industry is starting to thrive online – product demonstrations on Zoom, virtual tech talks, live-streamed happy hours – we now have new opportunities to connect and network within our ecosystem.
Today, Arm, and our AI Partner Program are excited to add a new virtual tech talk series to your calendars. Kicking off on June 16, experts from the world of machine learning (ML) will be delivering virtual talks on the latest trends in development, including deployment, optimization, best practices, as well as new ML technologies shaping the industry. The talks will be delivered by Arm engineers and leading AI software and hardware providers including NXP, Cartesiam.ai, Fluent.ai and Edge Impulse.
The tech talks will be delivered every other week and all talks will be available on-demand on YouTube straight after the live session.
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.
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:
Date
Title
Speaker
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 the following link.
Look forward to seeing you during the tech talks.
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