What we're about

• 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 field 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.

Upcoming events (1)

tinyML Talks by Kristopher Ardis, Maxim Integrated and Manuele Rusci, Greenwaves

Announcing two tinyML Talks on October 27th, 2020 IMPORTANT: Please register here https://us02web.zoom.us/webinar/register/9116008019758/WN_pIeNI1EnQX-k5B7WAanesw Once registered, you will receive a link and dial in information to Zoom teleconference by email, that you can also add to your calendar. 8:00 AM - 8:30 AM Pacific Daylight Time (PDT) Kristopher Ardis, Executive Director, Maxim Integrated "Cutting the AI Power Cord: Technology to Enable True Edge Inference" AI and deep neural networks promise to open up inventions we haven’t even dreamed of, but our best technologies to give machines the ability to see and hear are power hungry and costly. Maxim is working on new technology that will enable AI to exist at the true edge of the IoT, giving embedded devices intelligence while running off a battery. Kris Ardis is an Executive Director in the Micros, Security & Software Business Unit at Maxim Integrated. He began his career with Maxim as a software engineer and holds two U.S. patents. In his current role, Ardis is responsible for Edge Artificial Intelligence accelerators, Secure and Low Power Microcontrollers, and Software Algorithms. He has a B.S. in Computer Science from the University of Texas at Austin. 8:30 AM - 9:00 AM Pacific Daylight Time (PDT) Manuele Rusci, Embedded Machine Learning Engineer, Greenwaves Technologies "GAP8: A Parallel, Ultra-low-power and flexible RISC-V based IoT Application Processor for the TinyML ecosystem" In this talk, we present the GAP8 processor, a novel MCU-class IoT Application Processor equipped with a RISCV 8-core cluster for computation-intensive and parallel workloads, and the set of SW tools to speed up the development of autonomous sensors processing images and sounds (and more) at the edge. In particular, we showcase the GAPflow toolset, which is tailored for the deployment of Deep Networks on the chip and demonstrate the effectiveness of our solution on a range of applications and typical DL benchmarks. Dr. Manuele Rusci works as Embedded Machine Learning Engineer at Greenwaves Technologies. He obtained the PhD in 2018 from the University of Bologna, where he also works as a research assistant. His main research interests include low-power embedded systems and AI-powered smart sensors. We encourage you to register earlier since on-line broadcast capacity may be limited. Note: tinyML Talks slides and videos will be available on the tinyML website and tinyML YouTube Channel afterwards, for those who missed the live session. Please take a moment and subscribe to the YouTube channel today: https://www.youtube.com/tinyML

Past events (30)

tinyML Talks by Amit Mate from GMAC Intelligence

Online event

Photos (84)