![Tiniest Gesture-based Remote Control - Practical session [Webinar]](/uploads/posts/2024-07/linkedin-link-post-size_-1200-x-679.jpg)
Watch Arrow Electronics' webinar to explore how TinyML is revolutionizing device interaction and human activity recognition.
Watch Arrow Electronics' webinar to explore how TinyML is revolutionizing device interaction and human activity recognition.
Watch the Arm Tech Talk focused on TinyML in assistive technology and discover the simple process of creating such devices using the Neuton.AI platform.
Neuton.AI presented AI capabilities for ISPU and highlighted the potential of running complex analytics on a resource-constrained device during STMicroelectronics' webinar.
Watch the Demo of Neuton.AI’s Gesture Recognition model for the xG24-DK BLE Remote Control Application presented by our partners Silicon Labs and Arrow Electronics at the TinyML EMEA Innovation Forum 2023.
Check out the fascinating presentation on Blair Newman of Neuton.AI 's innovative approach to building ultra-tiny neural networks <5kb in size that can be directly embedded into any sensor at the tinyML EMEA Innovation Forum 2023.
In case you were unable to attend Sensors Converge 2023, this remarkable presentation delves into how Neuton.AI can enhance the intelligence of even sensors leveraging ultra-tiny neural networks.
Watch the presentation of an ultra-efficient teeth-brushing tracking solution leveraging Neuton's ultra-tiny Neural Networks with less than 5 Kb in total footprint in action at the Arm Tech Talk event.
Neuton.AI, represented by our embedded engineer, Sumit Kumar, will participate in the new Arm’s AI Tech Talk on September 20th, at 8:00 AM PT. You don't want to miss this!
We launched our very first Neuton Maker Day! The webinar brought together five talented makers who shared their unique ready-to-go tinyML projects developed with the Neuton platform.
Neuton’s team, represented by Blair Newman and Danil Zherebtsov, was excited to kick off a series of deep-dive sessions organized by the tinyML Foundation as part of the tinyML Auto ML Forum.
Our CTO, Blair Newman, made a sensational statement at the tinyML Summit 2022 in March as he declared that the ideal weight of a tinyML model is <1 Kb!
Would you like to learn how to create smart devices and build tiny ML models in three clicks?
A great chance for you to meet the author of the TinyML Cookbook, Gian Marco Iodice, a team and tech lead in the Machine Learning Group at Arm, Co-founder of the tinyML Foundation UK and get useful knowledge from the best industry leaders of the Arm, Arduino, and Neuton teams!
Practical AI Masterclass to discover the fundamentals of AI, Machine Learning, and TinyML for smart technologies from experts in the fields
At Neuton.AI we’re gathering seasoned industry experts to introduce you to promising, forward-leaning technology - Tiny ML!
Dr. AngShuMan Ghosh will outline the top 5 tips every data scientist needs to know to solve business problems more efficiently in 2022. He will cover essential aspects such as the industry overview, roles, skills, websites, and useful tools.
We all think we know what bad data looks like, but what is it and what are the consequences?
Get the useful career tips on how to get your dream job in datascience from Chris Armbruster, PhD from the AI Guild
How to Scale up AI Adoption?
This webinar is a part of Neuton’s AI Talent Lab Series. Its main goal is to help you avoid common mistakes and launch a successful implementation of MLOps at your organization.
Watch our workshop about best Microsoft practices and real business cases in using ML techniques to predict customer satisfaction by Fabio Correa, Director of Business Analytics at Microsoft and Professor of Artificial Intelligence at Kaplan Business school.
Blair Newman, will explain how any user can create a ready-to-go ML solution with our no-code platform, Neuton.AI.
Neuton is an AutoML solution, empowering organizations to leverage Machine Learning in order to solve their business problems in just a few simple steps.
Check out our case study video.
How does Neuton create incredibly compact models in just one iteration without compromising accuracy?