What we’re about
FIRST SOUTHERN CALIFORNIA 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.
• 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)
See all- Network event14 attendees from 50 groups hostingtinyML Summit and Research Symposium 2024Hyatt Regency San Francisco Airport, Burlingame, CA
Dear tinyML Community,
The 2024 tinyML Summit provides the ultimate convergence point for the tinyML community, from trailblazing suppliers to forward-thinking end-users, ingenious engineers to visionary business leaders. Join the world-wide tinyML community to discover the latest innovations in Tiny ML, understand successfully deployed commercial solutions, and network with thought-leaders bringing AI/ML closer to every sensor and edge device. By attending the summit and joining the tinyML community, you help unleash the possibilities of Tiny ML.
The tinyML Summit features an impactful mix of exhibitions, presentations, and networking. The exhibition area features leaders in tinyML technology for live demonstrations of the latest innovations. The summit will feature multiple opportunities to network and connect with other community members to share ideas, build collaborative solutions, and enhance business networks.
The tinyML Research Symposium will be held in conjunction with the tinyML Summit. The Research Symposium is the premier annual worldwide gathering of technical experts and researchers representing the global tinyML research and educational community. The tinyML Research Symposium will focus on emerging tinyML technology, research, and theory that will potentially come to market in the coming decade. The tinyML Summit focuses on the technology and solutions available now or in the immediate future. Join us in harnessing the power of the future, today. By attending the 2024 tinyML Summit and becoming part of our dynamic community, you are not just an observer; you are a catalyst to unleash a world of possibilities of Tiny ML.
Register here: https://www.tinyml.org/event/summit-2024/
Where: Hyatt Regency San Francisco Airport
1333 Bayshore Highway, Burlingame, CA 94010When: April 22-24, 2024
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- Network event1 attendee from 50 groups hostingtinyML Talks by Senem Velipasalar from Syracuse UniversityLink visible for attendees
Announcing tinyML Talks on April 30th, 2024
IMPORTANT: Please register hereOnce 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)
Senem Velipasalar, Professor, Electrical Engineering and Computer Science Department, Syracuse University
"MicroCam: A Low-Power and Privacy Preserving Multi-modal Sensor Platform for Occupancy Detection"Heating, ventilation, and air conditioning (HVAC) consumes a significant portion of the energy used in buildings. Much of this is wasted energy, used when buildings are either not occupied at all, or occupied well under their maximum design conditions. In this talk, we will focus on residential occupancy detection to autonomously control HVAC systems and save energy. After discussing the limitations of existing solutions, MicroCam will be introduced. MicroCam is a low-cost, high accuracy, standalone residential occupancy sensing platform, which can operate on typical alkaline batteries without relying on the cloud or external computing resources, and consists of low-power, Artificial Intelligence (AI)-based, IoT platforms. Each platform has multi-modal sensors and can process motion, audio and video data. All sensor data is processed locally on platforms, and the only transmitted data is the binary occupancy state. MicroCam has been evaluated extensively, and the lessons learned will be presented.
Dr. Senem Velipasalar is a Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. She received the Ph.D. and M.A degrees in electrical engineering from Princeton University, and the M.S. degree in electrical sciences and computer engineering from Brown University. The focus of her research has been on machine learning, computer vision, mobile camera applications, wireless embedded smart cameras, multi-camera tracking and surveillance systems. She received a Faculty Early Career Development Award (CAREER) from the National Science Foundation (NSF) in 2011, IEEE Region 1 Technological Innovation (Academic) Award in 2021 and Excellence in Graduate Education Faculty Recognition Award in 2014.
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
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- Network event115 attendees from 50 groups hostingtinyML Talks by Jim Huang from University of SydneyLink visible for attendees
Announcing tinyML Talks on May 14th, 2024
IMPORTANT: Please register here
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)
Zhaojing (Jim) Huang, PhD Candidate at the School of Biomedical Engineering, University of Sydney
"Unleashing The Power of Tiny Neural Network Models in Medical Devices"In today's rapidly evolving healthcare landscape, the integration of machine learning technology is driving fundamental transformations. Picture a future where wearable devices become indispensable allies, offering unprecedented precision in diagnosing medical conditions. This presentation delves deep into the realm of advanced and efficient neural network models, particularly tinyML, and their pivotal role in reshaping the future of medical diagnosis through long-term monitoring. Furthermore, personalization emerges as a crucial need that impacts the need and use around the medical devices design and technology. Continuously evolving and innovative models are refining on-edge performances, thereby enhancing the potential of the next generation of these devices. During this session, we will explore some of the novel and compatible tinyML models that have shown promising potential, discussing their implications and contributions to the future.
Zhaojing (Jim) Huang is a second-year PhD student in the School of Biomedical Engineering at the University of Sydney. His research focuses on the application of tinyML in the analysis of bio-signal data, particularly in the realm of medical diagnostics. With a keen interest in leveraging cutting-edge technology for healthcare advancements, he is committed to exploring the potential of machine learning in addressing critical challenges in biomedical engineering.
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
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Past events (228)
See all- Network event80 attendees from 49 groups hostingtinyAI Forum on Generative AI and Foundation Models on the EdgeThis event has passed