What we're about

We are excited to announce one more group joining fast growing Global tinyML Community.

• 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 (2)

tinyML Talks by Vitaly Kleban from Everynet

Network event

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Announcing tinyML Talks on November 29th, 2022

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/4216663865864/WN_QnpwJt3fRVqVxGw-I-3pjg

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)
Vitaly Kleban, Co-founder and CTO, Everynet
"Low-cost energy-aware sensor data acquisition at scale"

Machine learning training compute resources has been doubling every 6 months for the past 10 years, still to this day the lack of data is one of the main reasons why ML projects fail. This problem is especially significant for the “offline businesses”, where ML algorithms need smart sensors to gain access to the real world. Significant progress has been made by the tinyML community towards both hardware and software optimisations to make evaluation and training of the ML models directly on sensor both fast and energy efficient. Wireless data transmission continues to be energy-intensive and expensive. Together with the world-leading infrastructure companies Everynet is deploying nation-wide telecommunication networks dedicated to the low-cost and low-power connectivity for battery powered sensors. Network coverage is currently available in the USA, UK, Brazil, Indonesia, Italy, Spain, Ireland, etc. Authors would like to present some of the implemented use cases and explore device-to-cloud energy-aware time series replication best practices in detail.

Vitaly Kleban is a serial inventor and technology architect, active in deep tech: advanced sensor and materials technology, low-power and low-cost data acquisition, machine learning on edge, distributed systems and telecommunications. He is the co-founder and CTO at Everynet, which is the leading low power wide area pioneer and network operator, providing innovative solutions that help companies around the world solve their biggest IoT challenges and scale quickly.

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 Trailblazers Series: Success Stories with Christopher Rogers

Network event

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Announcing tinyML Trailblazers Series:
INSPIRE-EDUCATE-ILLUMINATE

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/5116679486306/WN_IkP6-mQDQXGi8yni8lwliA

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 Standard Time (PST)
Christopher B. Rogers, CEO, SensiML Corp
"Success Stories with Chris Rogers" hosted by Dr. Chris Rowen

In addition to popular tinyML Talks (which are deeply technical in nature), we are excited to start a new webcast series, tinyML Trailblazers, uncovering Success Stories in the tinyML World.
As tinyML continues its strong growth, there are more and more inspirational stories to be shared with the Community by its “movers & shakers”. These monthly LIVE and INTERACTIVE tinyML events will bring tinyML Masterminds, those who pioneer the field and make a significant impact, in an informal conversation/interview hosted by Dr. Chris Rowen, a renown Silicon Valley technologist and entrepreneur, and a tinyML innovator. They will share their stories of developing game changing tinyML technologies and innovations, applications, products and companies, as well as setting new research directions and revealing future vision.

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.

We encourage you to register earlier since on-line broadcast capacity may be limited.

Note: tinyML Trailblazers 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 (107)

tinyML Talks by Arindam Sanyal from Arizona State University

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Photos (179)