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)
See all- Network event189 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
#@#
- Network event1 attendee from 50 groups hostingHybrid Bay area meetup in person in San Jose, CA and Zoom streamingLink visible for attendees
Announcing tinyML Silicon Valley Meetup on May 16th, 2024 in San Jose, CA at 4:30 PM Pacific Time
IMPORTANT: Please register here
In-person attendance
https://eu.jotform.com/240774409434863On-line attendance
https://us02web.zoom.us/webinar/register/7917150148829/WN_ccBzXQ_pS7eIXx4bmru-AQAgenda:
4:30 PM – 5:00 PM: Registration and snacks
5:00 PM – 6:00 PM: Embedded Edge AI trends and Infineon AI solutions - Moenes Iskarous
End-to-end Embedded development Ecosystem with Imagimob Studio – Sam Al-Attiyah
Round table discussion and Q&A
6:00 PM – 7:00 PM: Networking and demoesAddress:
Infineon Technologies
SVIC Tech Zone
198 Champion Court
San Jose, CA 95134
United StatesRegister now, as the capacity of the venue is limited to 40 people.
PSOC™ Edge is Infineon’s new generation of MCUs that enables responsive Machine Learning-based user-centric edge devices by providing ML acceleration to deliver both "always-on" low power and high-performance operation, in a fully integrated microcontroller with right-sized peripherals, on-chip memories and state-of-the-art security.
Imagimob Studio is a development platform for AI and Machine Learning on edge devices. It’s designed to support the user through the end-to-end flow from data collection; data analysis and management; processing and model training; model evaluation and selection; and finally package the models to deploy on different microcontrollers.
Moenes is passionate about embedded development and believes that edge intelligence is a major growth area for AI. He has more than 32 years of industrial experience in the computer and semiconductor industry with a focus on ML technology development. Moenes received his PhD from Vanderbilt University in Neural Networks Architectures and application in Robotics then he worked at C-Cube Microsystems, Intel, SiMa.ai and SK Hynix before joining Infineon as the CTO for IoT AI/M leading the Machine Learning Center of Excellence.
Sam has been working at Imagimob for more than 7 years. He has a Master in Electrical Engineering having studied both in Australia and in Sweden. Over this time he has had experience working with the end-to-end machine learning applications on the edge and led multiple projects to production. Sam is now heading the Customer Success team at Imagimob which focuses on ensuring customers get to production with their machine learning applications. Sam is also the product manager for the Imagimob Ready Models which are fully trained models ready deployment and commercialization.
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
#@#
Past events (54)
See all- Network event148 attendees from 50 groups hostingtinyML Talks by Varun Chari from ArmThis event has passed