What we're about

Based on the success of our tinyML meetup groups in the US, we are branching out to other countries.

• 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 (4)

tinyML Talks by Vijay Janapa Reddi from Harvard University

Network event

Online event

Announcing tinyML Talks on May 24th, 2022

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/4716521138045/WN_Ipaqfjz7QvCo6dQ5IzS07Q

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)
Vijay Janapa Reddi, Associate Professor, Harvard University
"MLOps for TinyML: Challenges & Directions in Operationalizing TinyML at Scale"

Over eighty percent or more of companies that attempt to integrate machine learning into operational applications fail. How could this be? Many organizations underestimate the difficulty of implementing ML. This talk emphasizes the significance of machine learning operations (MLOps) in scaling TinyML to enterprise-scale deployments that provide real-world value. Training and deploying a machine learning model on a single tiny embedded device is one thing; it is quite another to scale to thousands of devices. TinyML adds a number of embedded ecosystem-specific impediments to the conventional machine learning deployment pipeline, hence considerably complicating ML deployment even further. To address these myriad issues, the talk introduces a seven-stage MLOps architecture for operationalizing TinyML successfully. These stages range from ML model development for a fleet of heterogeneous devices to continuous monitoring for detecting data drift and everything in-between. The framework is a comprehensive end-to-end workflow for scaling TinyML deployments from a proof of concept to a real-world solution.

Vijay Janapa Reddi is an Associate Professor at Harvard University, Inference Co-chair for MLPerf, and a founding member of MLCommons, a nonprofit ML organization that aims to accelerate ML innovation. He also serves on the MLCommons board of directors.

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 Fadi Alsaleem from University of Nebraska - Lincoln

Network event

Announcing tinyML Talks on May 31st, 2022

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/3616506448592/WN_4fepOiukShqApBqkxxw_gg

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)
Assistant Professor, Durham School of Architectural Engineering and Construction, Mechanical Engineering Department (Courtesy appointment), University of Nebraska - Lincoln
"ML using micro-electromechanical system (MEMS)"

This talk covers a new technology that enables a sensor such as a wearable accelerometer to provide high-level processed information such as step counts or type of activity rather than the simple raw acceleration measurement. This new technology is based on a micro-electromechanical system (MEMS) where a network of them is designed to locally perform advanced algorithms. The algorithms will be coded in the mechanical responses of the sensing elements of these multiple-coupled MEMS devices that simultaneously capture the measurement of interest such as acceleration. As a result, the MEMS network will perform computing at the sensing physical layer and will require very little power, eliminating the need for a microprocessor and eliminating the need for the energy-hungry circuitry for conditioning and reading the output of the traditional sensor. The new sensing/computing technology has been demonstrated in multiple applications such as human activity recognition, simple signal classification, and mobile robot.

Dr. Alsaleem joined the college of engineering at the University of Nebraska at Lincoln (UNL) in August 2016. Before this assignment, he worked for multiple years in the industry including four years as a Senior Lead Algorithm Engineer at Emerson Electric Inc to develop novel (cloud-based) sensor monitoring and learning algorithms used for fault diagnostics for mechanical systems. His current and future potential research goals are to vertically advance the fields of intelligent wearable sensing technologies and artificial intelligence algorithms and their use in many health and medical applications. In this research area, he has more than 10 awarded patents, more than 100 publications, presentations, and invited talks, and over 6 million total (near 1.5 million to his research team) of active funding to support his research work.

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 Mouna Elkhatib from AONDevices

Network event

Announcing tinyML Trailblazers Series:
INSPIRE-EDUCATE-ILLUMINATE

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/7316500592365/WN_k57g_QFDSn-6mFe8JvbVKg

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)
Mouna Elkhatib, CEO, CTO, and Co-Founder, AONDevices Inc.
"Success Stories with Mouna Elkhatib" hosted by Dr. Chris Rowen

In addition to popular tinyML Talks (which are deeply technical in nature), we are excited to start 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.

Our next guest will be Mouna Elkhatib, CEO, CTO, and Co-Founder of AONDevices, Inc. An industry expert in voice and audio processing, Mouna has over 20 years of experience in semiconductor technology with a successful track record in engineering and leadership. Prior to AONDevices, Mouna architected and led the development of industry leading voice and audio semiconductor solutions for smartphones, PCs, smart speakers, and Internet of Things (IoT) at Qualcomm and Conexant.

Mouna Elkhatib, CEO, CTO, and Co-Founder of AONDevices, Inc, a leader in edge AI for speech, sound, and sensor fusion. Mouna managed the formation of AONDevices, growing the team locally and internationally. An industry expert in voice and audio processing, she architected and led the development of the AONDevices product line and won multiple agreements with tier 1 semiconductor companies. Prior to AONDevices, Mouna architected and led the development of industry leading voice and audio semiconductor solutions for smartphones, PCs, smart speakers, and Internet of Things (IoT) at Qualcomm and Conexant. Mouna is an active member of a number of industry organization, serves on the Global Semiconductor Alliance Women’s Leadership Council, runs the WLI Entrepreneurial Committee, and contributes to the advancement of Edge AI. She holds an engineering degree from Ecole Nationale Supérieure d’Electricité et de Mécanique (ENSEM), eleven US patents and eleven pending patents.

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 Chi-Hung Tseng from CAVEDU Education

Network event

Online event

Announcing tinyML Talks on June 17th, 2022

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/9316521965345/WN_H0fHZW--RwOjj-udkWUlqA

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

4:30 AM - 5:30 AM Pacific Daylight Time (PDT)
Chi-Hung Tseng, Director at CAVEDU Education, Assistant professor at National Taiwan University of Science and Technology, NVIDIA Jetson AI Ambassador
讲者:曾吉弘博士
讲者抬头:CAVEDU教育团队总监
国立台湾科技大学助理教授
NVIDIA Jetson AI 大使
"Delivering Machine Learning Concepts into K-12 Curriculum"
分享主题:机器学习应用于K12教学现场

In this topic, the lecturer will show his personal experiences of how to teach machine learning concepts in K-12 curriculum with the Wio Terminal dev board. In a hands-on curriculum design, you will see how the student gain brand insight from the sensor data and make their project more attractive.
分享内容:讲者将分享如何将机器学习概念搭配 Wio Terminal与常见感测器带入K12教学现场。以动手做课程为主轴,学生将获得对于传统感测器资料的全新观点,完成更有趣的专题应用。

Dr. Chi-Hung Tseng (David), director of CAVEDU Education. Devoting into technology education, David and his partners are intensively active in teaching fundamental knowledge and skills. As the assistant professor of NTUST and one of the NVIDIA Jetson AI ambassadors, David had hosted many deep-learning related courses and workshops. David had also published many books for students in all ages, topics including robotics, IoT edge devices and deep learning application. Please check CAVEDU's website for more information: http://www.cavedu.com. 讲者简介:曾吉弘博士,CAVEDU教育团队总监。曾博士多年来积极投入科技教育。身为助理教授与NVIDIA Jetson AI大使,曾博士每年都举办多场深度学习相关长短期课程与工作坊。 CAVEDU教育团队已出版/翻译多本机器人、物联网边缘装置与深度学习相关书籍,更多资讯请见CAVEDU网站:www.cavedu.com

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 (101)

tinyML Talks by Manivannan Sivan from Valeo

Online event

Photos (158)