Announcing tinyML Trailblazers Series:
INSPIRE-EDUCATE-ILLUMINATE

IMPORTANT: Please register here
[https://us02web.zoom.us/webinar/register/7316856473362/WN__DoZtW_IT_2h8zs_YGmqRQ](https://us02web.zoom.us/webinar/register/7316856473362/WN__DoZtW_IT_2h8zs_YGmqRQ)

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)
Anders Hardebring, CEO and Co-founder, Imagimob
"Success Stories with Anders Hardebring" 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.

This month's guest is Anders Hardebring. Anders is CEO and co-founder at Imagimob. Anders has strong experience in leading and developing early-stage companies in the technology sector. Anders was a driving force from start to exit in AU-System Mobile/Across Wireless that was sold to Sonera Smarttrust in a Billion-dollar exit. Anders holds a MSc in Industrial Engineering and Management from Linköpings University.

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](https://www.youtube.com/tinyML?sub_confirmation=1)

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tinyML  Enabling low Power ML at the edge - New York, NY

tinyML Trailblazers Series: Success Stories with Anders Hardebring

Online event

Announcing tinyML Talks on June 13th, 2023

IMPORTANT: Please register here
[https://us02web.zoom.us/webinar/register/2716849728463/WN_fI6WYNeDSeKwD0f0KJ_Tng](https://us02web.zoom.us/webinar/register/2716849728463/WN_fI6WYNeDSeKwD0f0KJ_Tng)

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)
Marcelo Rovai , Co-Chair, TinyML4D group
"Unleashing the Power of the New XIAO ESP32S3 Sense: Tackling Anomaly Detection, Image Classification, and Keyword Spotting with TinyML"

As machine learning continues to evolve and integrate with embedded systems, TinyML emerges at the intersection, offering the potential to run machine learning models on low-power microcontrollers. This talk will delve into the fascinating world of Tiny Machine Learning (TinyML) using the a Thumb-Size ESP32 CAM Dev Board: Seeed Studio XIAO ESP32S3 Sense. We will explore three significant projects demonstrating the wide range of possibilities with TinyML. Our journey begins with an Anomaly Detection and Motion Classification project. Here, we will use an Inertial Measurement Unit (IMU) sensor to identify unusual patterns and classify various types of motion. We will discuss collecting and preprocessing sensor data, training a machine-learning model, and deploying it onto the ESP32S3 for real-time inference. Next, we will explore Image Classification, showing how the XIAO ESP32S3 Sense, with its built-in camera, can identify and classify objects. We will discuss the challenges of working with image data, including handling high dimensionality and data variability, and demonstrate how we overcame these challenges to build a robust classifier. Finally, we will conclude the talk with a project on Keyword Spotting. Using the built-in microphone of the XIAO ESP32S3 Sense, we will demonstrate how to train a model to recognize specific spoken keywords. This portion of the talk introduces sound classification, a compelling field with many applications, from voice assistants to environmental sound classification. Throughout the talk, we will use the Arduino IDE and Edge Impulse Studio to create and deploy the TinyML models. Attendees will gain insights into data collection, pre-processing, model design, and impulse design.

Marcelo Rovai is born in São Paulo and held a Master’s in Data Science from the Universidad del Desarrollo (UDD) in Chile and an MBA from IBMEC (INSPER) in Brazil. He graduated in 1982 as an Engineer from UNIFEI, Federal University of Itajubá, with a specialization from Escola Politécnica de Engenharia of São Paulo University (USP), both institutions located in Brazil. Rovai has experience as a teacher, engineer, and executive in several technology companies such as CDT/ETEP, AVIBRAS Aeroespacial, SID Informática, ATT-GIS, NCR, DELL, COMPAQ (HP), and more recently at IGT as a VP and a Senior Advisor for Latin America. Marcelo Rovai publishes articles about electronics on websites such as MJRoBot.org, Hackster.io, Instructables.com, and Medium.com. Furthermore, he is a volunteer Professor at the UNIFEI in Brazil and a lecturer at several Congresses and Universities on IoT and TinyML. He is an active member and a Co-Chair of the TinyML4D group, an initiative to bring TinyML education to developing countries.

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](https://www.youtube.com/tinyML?sub_confirmation=1)

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Olga Goremichina

Matt

tinyML Talks by Marcelo Rovai from TinyML4D group

Announcing tinyML IN PERSON Meetup in Austin on July 20th, 2023

Time: 7-8pm
Date: 07/20/23, Wednesday

Location: ARM Austin Campus
5707 Southwest Pkwy
Ste 100,
Austin, TX 78735

Event Type: In-person social

First in-person Austin TinyML MeetUp since a while!
Refreshments and appetizers will be provided.
Casual opportunity to network with people involved in deeply embedded development and research involving Neural Networks.
Opportunities available to showcase demos or share lightning talks (\~2min), please reach out to organizers to coordinate.

We encourage you to register earlier since the capacity may be limited.

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tinyML: Enabling ultra-low Power ML at the edge - Austin, TX

Arpit Shah

tinyML Austin Presents first IN-PERSON MeetUp 

The tinyML EMEA Innovation Forum is accelerating the adoption of tiny machine learning across the region by connecting the efforts of the private sector with those of academia in pushing the boundaries of machine learning and artificial intelligence on ultra-low powered devices https://www.tinyml.org/event/emea-2023/

Registration is now open!
https://www.jotform.com/230994939508169

Our goal is to unite the tinyML EMEA Community to Empower Innovation. Our sessions for this year: tinyML in the Real World, Algorithms and Optimization Techniques, MLOps, development and deployment tools, Hardware and Sensors.

We encourage you to register earlier since the capacity may be limited.

Note: tinyML EMEA 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](https://www.youtube.com/tinyML?sub_confirmation=1)

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tinyML: Enabling low Power ML at the Edge-Silicon Valley, CA

JoeH

Bibhu Sahoo

tinyML EMEA Innovation Forum 2023

tinyML

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