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FIRST OREGON AREA TINYML MEETUP TO BE ANNOUNCED SOON!

Based on the success of our tinyML meetup group in the Bay Area, we are branching out to other areas of the country, starting with Portland, OR.

• 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 (3)

tinyML Talks by Pierre Gembaczka from Fraunhofer IMS

Network event

Online event

Announcing tinyML Talks on December 1st, 2021

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/8016373692982/WN_ql6RUW4YQ8KSn79OPSVRSA

Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.

9:30 AM - 10:30 AM Pacific Daylight Time (PDT)
Pierre Gembaczka, Program-manager, Fraunhofer IMS
"AIfES - an open-source standalone AI framework for almost any hardware"

In the last few years there have been more and more solutions for running machine learning (ML) on microcontrollers. Some of the most popular are scaled down versions of frameworks designed for servers. But those are only suitable for fairly powerful MCUs.

This is now a thing of the past. With the open-source solution AIfES (Artificial Intelligence for Embedded Systems) from the Fraunhofer Institute for Microelectronic Circuits and Systems (IMS) it’s possible to run, and even train, artificial neural networks (ANN) on almost any hardware, including 8-bit microcontrollers. To be able to try AIfES directly, it has been released for the amazing Arduino IDE as a library and can be used with any Arduino or Arduino compatible board.
AIfES inventor and product manager Pierre Gembaczka will introduce the framework and will also show an on-device training live demo. The new features of the upcoming update will also be shown.

Dr. Pierre Gembaczka is Program-manager at Fraunhofer IMS. He studied Microtechnology and medical technology and holds a Master degree from the University of Applied Sciences in Gelsenkirchen. Afterwards he completed his doctorate at the Fraunhofer IMS in cooperation with the University of Duisburg Essen and obtained the academic degree of a doctor of engineering. From 2014 to 2017 he worked as a research assistant in the department Micro- and Nanosystems - Pressure Sensors at Fraunhofer IMS. From 2018 to 2020 he works as research assistant in the embedded systems group at Fraunhofer IMS and researches embedded AI solutions for various applications. He is inventor of the AI software framework AIfES (Artificial Intelligence for Embedded Systems). Since May 2020 he is Program manager “Industrial AI” and AIfES Product Manager.

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?sub_confirmation=1

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tinyML Talks by Chris Rogers from SensiML and Theo Kersjes from Onsemi

Network event

Announcing tinyML Talks on December 7th, 2021

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/1316374784019/WN_d51QlGHaTsSOtVSLeYFGvg

Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.

8:00 AM - 9:00 AM Pacific Daylight Time (PDT)
Chris Rogers, CEO, SensiML Corp
Theo Kersjes, Application Manager, onsemi

"The Value of Edge AI for Industrial Applications: onsemi and SensiML IIoT Solutions"

In this session, onsemi and SensiML will cover the topic of edge AI models and why they can be greatly beneficial for industrial applications. Whether process monitoring and optimization, or predictive maintenance to prevent costly downtime, the ROI for Edge AI is arguably strongest within the industrial sector.

What you will learn:
- Why sensor analytics at the extreme edge is an important advancement for connected IIoT deployments;
- Example use cases within the industrial sector that have clear and high return on investment;
- Details of the onsemi and SensiML edge sensing platform and how it can transform the ability of Industry 4.0 innovators to gain critical insights.

With over 25 years of experience running embedded systems, wireless communications, and algorithm development businesses, Chris has led high caliber teams at companies ranging from Intel to startups. Chris focuses on building and supporting teams capable of bringing cutting edge technologies to reality, delivering results, and customer value quickly. Prior to spinning out SensiML from Intel, Chris was general manager of Intel’s Quark/Curie machine learning software tools business and held prior positions as product line manager turning around Intel’s $750M business in Wi-Fi and Bluetooth modules. An engineer at heart, Chris started his career in automotive test/measurement as both developer and end-user of IoT systems well before the term came into vogue, building bespoke embedded systems for Michelin Tire and then as a consultant to test vendors for GM and Ford. He holds a bachelor’s in Mechanical Engineering and an MBA from Carnegie Mellon’s Tepper School of Business.

Theo manages a team of product definers and applications engineers for power and sensing solutions. He started his career at Philips/NXP focusing on digital video processing and moved from the Netherlands to the San Jose Bay area to work on broadband routers, VoIP and cable modem systems. In the RF group Theo gained diverse experience developing products for Hearing-aid digital-signal-processors, and Wi-Fi modules. And in the NXP applications group he managed a team working on digital-power point-of-load, Wi-Fi and ZigBee applications. Joining a start-up, he developed unique 60Ghz wireless connectivity products with top electronics companies. Theo has three patents issued and is a public speaker.

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?sub_confirmation=1

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tinyML Talks by Odin Shen from Arm

Network event

Online event

Announcing tinyML Talks on December 17th, 2021

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/5816370308561/WN_2I6kfmi9Rnak1VmxKGE5Gw

Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.

3:00 AM - 4:00 AM Pacific Daylight Time (PDT)
Odin Shen, Principal Field Application Engineer, Arm
"tinyML Hardware/Software co-design, security"

After TinyML Asia, it’s time to reunion together to exchange what we learn from TinyML and what you are planning to development in your project. -
Let’s focus the day 1 session “Hardware/Software co-design and security” first, how to apply into your daily work or side project.

你參加前陣子剛結束的 TinyML Asia 嗎? 隨著疫情趨緩, 讓我們利用利用這個實體/虛擬混合的活動讓大家快速複習 TinyML Asia 各項主題吧-
第一場讓我們先來回顧 TinyML Asia 第一天的軟硬體協同設計以及安全的議題, 看看如何運用在你的工作或是興趣之上.

Odin Shen, Principal engineer at Arm response for Arm machine learning and automotive technology in Taiwan. He has 18 year experience in semiconductor industry at several companies, specializing in software algorithm developer and System-On-Chip (soc) software/hardware architecture co-design methodology. Odin is an open source developer, owning several community blogs on machine learning edge influence.

Meeting format:

Zoom meeting webinar
Physical (at Arm Taipei office (台北市內湖區洲子街55號9樓)

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?sub_confirmation=1

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Past events (84)

tinyML Talks by Anna Petrovicheva from OpenCV.AI

Online event

Photos (120)