Frédéric Techer is taking my Edge Impulse class on Coursera and made this great project. The device monitors your tooth-brushing technique and can offer feedback. #TinyML #Arduino #MachineLearning

"It s not gonna be the #computerscience students, it s gonna be the #agriculture students"

^ ^ ^ !

Eric Pan of Seeed Studio at Abdus Salam International Centre for Theoretical Physics (ICTP) #TinyML workshop -

also stressing the importance of #LoRaWAN for the ecosystem.

#IoT in the #wild

At Abdus Salam International Centre for Theoretical Physics (#ICTP) Trieste for

Workshop with #TinyML colleagues,

'Widening Access to #TinyML Network by Establishing Best Practices in #Education' -

On the side, #lacuna #satellite and #terrestrial #lowpower #IoT with #LoRa -

work with team from #Nepal on #Himalaya #IoT -

in #Trieste, the #tropospheric conditions are favorable -

100km+ links across the #adriatic sea

#thethingsnetwork

#tinyML #tinyML4D #tinyMLfoundation #tinyMLjs

#ai #machineLearning

Conference is about teaching #ML on #edgeDevices people presenting are from @edgeImpulse, @arm, @seeedstudio, @arduino and others such as myself.

https://indico.ictp.it/event/10185

Referenced link: https://www.iotforall.com/tinyml-continual-learning-with-lwm2m
Discuss on https://discu.eu/q/https://www.iotforall.com/tinyml-continual-learning-with-lwm2m

Originally posted by IoT For All / @iotforall: http://nitter.platypush.tech/iotforall/status/1653037557519663106#m

The use of the #LwM2M protocol to manage #TinyML models and provide connectivity is a path towards standardizing TinyML and enriching the ecosystem of intelligent #IoT solutions. Read more from @AVSystemCom!

https://www.iotforall.com/tinyml-continual-learning-with-lwm2m

If you're at #EVS23, come check out our deep dive session! I'll be giving a hands-on workshop on data augmentation. #TinyML #AI
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RT @EdgeImpulse
Heading to @EmbVisionSummit next month? Don't miss our deep dive session with @jennymplunkett and @shawnhymel! Discover how you can train better visual AI models using less data and develop and deploy them at the edge — all without coding! #EVS23 https://embeddedvisionsummit.com/deep-dive-s…
https://twitter.com/EdgeImpulse/status/1651039944440152064

Referenced link: https://www.iotforall.com/tinyml-continual-learning-with-lwm2m
Discuss on https://discu.eu/q/https://www.iotforall.com/tinyml-continual-learning-with-lwm2m

Originally posted by IoT For All / @iotforall: http://nitter.platypush.tech/iotforall/status/1650522487808049157#m

While #TinyML provides device intelligence, the #LwM2M protocol provides connectivity, standardized communication, and device management. @avsystemcom explores how these two technologies complement each other.

https://www.iotforall.com/tinyml-continual-learning-with-lwm2m

RT @marcozennaro
Excited about the #TinyML workshop starting today. We have 418 participants from 72 countries and a great line-up of speakers! Keynote by @dansitu and @jennymplunkett today. https://tinyml.seas.harvard.edu/SciTinyML-23/#schedule @ictpnews

It s the weekend ... time to do something meaningful with #embedded #ML ...

#tinyML #edgeImpulse #fender #gibson #guitars

I connected with Jim to show off object counting using @EdgeImpulse FOMO and Microsoft @Azure. Give it a watch! #machinelearning #computervision #Arduino #embedded #IoT
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RT @jimbobbennett
Le'ts count 🐝 and 🔩!

On the latest episode of Let's Get Personal: Computing I'm joined by @shawnhymel from @EdgeImpulse who has a screw counter using object detection on a microcontroller with FOMO.

#AI #TinyML

https://youtu.be/bpVejDLZxYY
https://twitter.com/jimbobbennett/status/1643666625173016578

Want to convert your 🤗 @huggingface model to C++? It's as simple as calling the @EdgeImpulse deploy() function in #Python. Remember that only smaller models will work for #embedded systems 😁 Check out the full tutorial here: https://docs.edgeimpulse.com/docs/edge-impulse-python-sdk/01-python-sdk-with-hugging-face #AI #MachineLearning #TinyML

Today, we launched the "bring your own model" feature in @EdgeImpulse. Using either the Studio or our new #Python SDK, you can automatically profile and convert your trained #MachineLearning models to C++ code.

Try it out here: https://docs.edgeimpulse.com/docs/edge-impulse-python-sdk/overview #TinyML #ML #AI #embedded

Fascinating research looking into how models can be trained and turned directly into hardware for efficient inference. This is the future of #TinyML!

Great project by Nurgaliyev Shakhizat: demonstrating how #TinyML can be used in assistive technology. OK, it’s on a Jetson Xavier right now, but soon: this will be a pair of glasses 😎 #machinelearning #AI https://www.hackster.io/shahizat/image-captioning-for-the-visually-impaired-and-blind-people-505c59

It's an #ESP32 S3 with a Hirose connector for high-pin count add-ons! This is pretty slick. #TinyML
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RT @seeedstudio
🔥#XIAO ESP32S3 is finally here! With a 240MHz dual-core Xtensa processor using , supporting #WiFi and #BLE, battery charging management, and low power consumption of 14μA, it's perfect for #IoT, #SmartHome, #Wearables, and #Robotics. 🛒 http://bit.ly/40e5WrU
https://twitter.com/seeedstudio/status/1636342633357529091

This is slick: Jim shows how to use Google Text-to-Speech to generate synthetic data for training a keyword spotting model: https://www.youtube.com/watch?v=AoTB7eRjRiw #TinyML #MachineLearning #embedded

If you are in the Bay Area or near Amsterdam March 27, check out the @EdgeImpulse Edge ML Series: explore real-life deployments and solutions of edge #machinelearning applications. Request an invite here: https://edgeimpulse.com/edgemlseries #tinyml #edgeai #ai #embedded #iot

About to teach a workshop to the #TinyML club at #Harvard. Going to show students at all levels how to use @EdgeImpulse to quickly make useful models…specifically, identifying 🪨📄✂️ hand gestures with an #Arduino

Doing a little #TinyML hacking on the plane 😁

Technological Advances that are Driving Edge Computing Adoption - The evolution of a technology as a pervasive force is often a time-consuming proce... - https://readwrite.com/technological-advances-that-are-driving-edge-computing-adoption/ #artificialintelligence #federatedlearning #connecteddevices #cloudcomputing #edgecomputing #webassembly #tinyml #cloud #iot #ai