• What is the purpose of the group? To spread the word and educate the industry on "tinyML" (broadly defined as machine learning architectures, devices, techniques, tools and approaches capable of performing on-device analytics for a variety of sensing modalities--vision, audio, motion, environmental, human health monitoring etc.) at “mW” or below power range targeting predominately battery operated devices. The tinyML meetup group is an informal monthly gathering of researchers and practitioners working on various aspects of machine learning technologies (hardware-algorithms/networks- software-application) at the extreme low-power regime to share latest developments in this fast growing field and promote collaborations throughout the ecosystem. The format will be presentations with Q&A followed by networking.
• Who should join? Experts in machine learning technologies at the edge, especially in the low power battery operated regime. This includes hardware architects, software engineers, systems engineers, ASIC designers, algorithms and application developers, low power sensor providers and end users. “Newbees”, i.e. people interested in joining this filed and getting up to speed by listening start-of-the-art presentations and interacting with established players are very welcome to join too, both from the industry and the academia.
• What will you do at your events? Communicate to the attendees the “latest and greatest” in tinyML by watching a presentation from a tinyML expert from the industry or the academia and interfacing with the member of the tinyML Community.
There is no charge to attend this event, but we do ask that you complete our registration form:
https://fs24.formsite.com/meptec/200/index.html. It is not mandatory to complete the form, but by doing so you will be included in future tinyML events and activities email notices.
6:00pm – 7:00pm Networking/Pizza/Demos
7:00pm – 7:30pm
Ultra-Low Power ML Silicon at the Edge
David Garrett, Ph.D., VP Hardware, Syntiant Corp.
7:30pm – 8:00pm
AutoML Platform for Sensor Data
Tina Shyuan, Product Manager, Qeexo
Qeexo's one-click, fully-automated AutoML platform will allow users to leverage sensor data to rapidly build ML solutions for highly constrained environments. Best of all, deep technical knowledge of machine learning is not required.
8:00pm - 8:10pm
Open Mic/”tinyTalks” – a 2-3 min opportunity for companies and meetup participants to introduce themselves, their products, needs, collaborative opportunities, ideas, etc.
8:10pm – 9:00pm Further networking/demos*
*You are encouraged to bring a demo to the meeting. Please notify bcooper@mepcom if you are interested.