new episode of the practical ai digest: tinyml & edge ai: machine learning on devices
https://techpodindex.com/episode/the-practical-ai-digest-tinyml-edge-ai-machine-learning-on-devices
#podcast #tech
https://techpodindex.com/episode/the-practical-ai-digest-tinyml-edge-ai-machine-learning-on-devices
#podcast #tech
TinyML & Edge AI: Machine Learning on Devices
from The Practical AI Digest
techpodindex.com
November 6, 2026 at 11:00 AM
new episode of the practical ai digest: tinyml & edge ai: machine learning on devices
https://techpodindex.com/episode/the-practical-ai-digest-tinyml-edge-ai-machine-learning-on-devices
#podcast #tech
https://techpodindex.com/episode/the-practical-ai-digest-tinyml-edge-ai-machine-learning-on-devices
#podcast #tech
Almeida, Beserra, Moura, Ara\'ujo, Nogueira, Chevtchenko, Andrade: Energy Measurement and Optimization of TinyML in Resource-Constrained Embedded Systems: A Systematic Mapping Study https://arxiv.org/abs/2611.07264 https://arxiv.org/pdf/2611.07264 https://arxiv.org/html/2611.07264
November 6, 2026 at 6:42 AM
Almeida, Beserra, Moura, Ara\'ujo, Nogueira, Chevtchenko, Andrade: Energy Measurement and Optimization of TinyML in Resource-Constrained Embedded Systems: A Systematic Mapping Study https://arxiv.org/abs/2611.07264 https://arxiv.org/pdf/2611.07264 https://arxiv.org/html/2611.07264
"Beyond the Cloud at 130 km/h: Building an Edge AI Railway Obstacle & Intrusion Detection System with AWS" by Rahul Kumar
#ai #computer-vision #aws-iot #machine-learning #deep-learning
#ai #computer-vision #aws-iot #machine-learning #deep-learning
Beyond the Cloud at 130 km/h: Building an Edge AI Railway Obstacle & Intrusion Detection System with AWS
Why streaming high-speed train footage to the cloud fails in the real world, and how a hybrid TinyML + AWS architecture delivers sub-second fail-safe alerts across remote rail corridors.
community.aws
November 8, 2026 at 1:00 PM
"Beyond the Cloud at 130 km/h: Building an Edge AI Railway Obstacle & Intrusion Detection System with AWS" by Rahul Kumar
#ai #computer-vision #aws-iot #machine-learning #deep-learning
#ai #computer-vision #aws-iot #machine-learning #deep-learning
"Beyond the Cloud at 130 km/h: Building an Edge AI Railway Obstacle & Intrusion Detection System with AWS" by Jaswanth
#ai #computer-vision #aws-iot #machine-learning #deep-learning
#ai #computer-vision #aws-iot #machine-learning #deep-learning
Beyond the Cloud at 130 km/h: Building an Edge AI Railway Obstacle & Intrusion Detection System with AWS
Why streaming high-speed train footage to the cloud fails in the real world, and how a hybrid TinyML + AWS architecture delivers sub-second fail-safe alerts across remote rail corridors.
community.aws
November 8, 2026 at 6:30 AM
"Beyond the Cloud at 130 km/h: Building an Edge AI Railway Obstacle & Intrusion Detection System with AWS" by Jaswanth
#ai #computer-vision #aws-iot #machine-learning #deep-learning
#ai #computer-vision #aws-iot #machine-learning #deep-learning
🎸 TensorFlow Lite on Arduino? The official library is gone, but TFLM lives on!
I'm building an automated Arduino package tracking upstream – for UNO R4, RP2040, RP2350, ESP32 and more.
Still experimental. Looking for testers!
👉 www.pschatzmann.ch/home/2026/10...
#TinyML
I'm building an automated Arduino package tracking upstream – for UNO R4, RP2040, RP2350, ESP32 and more.
Still experimental. Looking for testers!
👉 www.pschatzmann.ch/home/2026/10...
#TinyML
TensorFlow Lite Micro on Arduino: Filling the Gap Until There Is an Official Package Again - Phil Schatzmann
If you want to run a TensorFlow Lite model on an Arduino today, you quickly find that there is no obvious answer. There used to be one: Google’s official Arduino package, Arduino_TensorFlowLite, built...
www.pschatzmann.ch
November 7, 2026 at 3:19 PM
🎸 TensorFlow Lite on Arduino? The official library is gone, but TFLM lives on!
I'm building an automated Arduino package tracking upstream – for UNO R4, RP2040, RP2350, ESP32 and more.
Still experimental. Looking for testers!
👉 www.pschatzmann.ch/home/2026/10...
#TinyML
I'm building an automated Arduino package tracking upstream – for UNO R4, RP2040, RP2350, ESP32 and more.
Still experimental. Looking for testers!
👉 www.pschatzmann.ch/home/2026/10...
#TinyML
everything related to TinyML on this platform is so... neglected
October 28, 2026 at 3:43 AM
everything related to TinyML on this platform is so... neglected
Chen Liu, Bernhard Vogginger, Christian Mayr: A lightweight C Code Generator for Heterogeneous TinyML Systems https://arxiv.org/abs/2610.36907 https://arxiv.org/pdf/2610.36907 https://arxiv.org/html/2610.36907
October 28, 2026 at 6:45 AM
Chen Liu, Bernhard Vogginger, Christian Mayr: A lightweight C Code Generator for Heterogeneous TinyML Systems https://arxiv.org/abs/2610.36907 https://arxiv.org/pdf/2610.36907 https://arxiv.org/html/2610.36907
TinyRoute: secure adaptive routing for intelligent transportation system using TinyML and few shot learning SciReports
TinyRoute: secure adaptive routing for intelligent transportation system using TinyML and few shot learning
Scientific Reports, Published online: 27 October 2026; doi:10.1038/s41598-026-76127-2TinyRoute: secure adaptive routing for intelligent transportation system using TinyML and few shot learning
dlvr.it
October 27, 2026 at 5:54 AM
TinyRoute: secure adaptive routing for intelligent transportation system using TinyML and few shot learning SciReports
Shoutout to Song Han, MIT EECS professor and NVIDIA research director leading the Efficient AI team. From Deep Compression to AWQ (MLSys 2024 best paper) and TinyML on microcontrollers, this work helps AI run lighter and faster. 🙌 #SongHan #EfficientAI
Song Han Wiki: Associate Professor with tenure, EECS | AI People Wiki
Song Han, Associate Professor with tenure, EECS at Massachusetts Institute of Technology: sourced bio, career timeline, and official site hanlab.mit.edu.
aipeoplewiki.com
October 29, 2026 at 2:54 AM
Shoutout to Song Han, MIT EECS professor and NVIDIA research director leading the Efficient AI team. From Deep Compression to AWQ (MLSys 2024 best paper) and TinyML on microcontrollers, this work helps AI run lighter and faster. 🙌 #SongHan #EfficientAI
Shoutout to Pete Warden #PeteWarden, CEO of Useful Sensors, founding member of the TensorFlow team, and co-author of the TinyML book. His team's Moonshine speech recognition runs on-device, with code and most models under MIT. Tiny models, big impact! aipeoplewiki.com/people/pete-...
Pete Warden: CEO at Useful Sensors Inc, bio and career | AI People Wiki
Pete Warden is CEO at Useful Sensors Inc. Career timeline, work and sourced citations; fields: Inference and serving, Speech and audio, ML frameworks and…
aipeoplewiki.com
October 25, 2026 at 5:53 PM
Shoutout to Pete Warden #PeteWarden, CEO of Useful Sensors, founding member of the TensorFlow team, and co-author of the TinyML book. His team's Moonshine speech recognition runs on-device, with code and most models under MIT. Tiny models, big impact! aipeoplewiki.com/people/pete-...
ESP32-S3 can run TinyML, but success hinges on memory, quantization, and real-time concurrency—not just a working demo. Production edge AI on…
https://dev.to/zediot/why-tinyml-on-esp32-s3-bottlenecks-on-memory-quantization-and-real-time-inference-45lc
#edge #IoT
https://dev.to/zediot/why-tinyml-on-esp32-s3-bottlenecks-on-memory-quantization-and-real-time-inference-45lc
#edge #IoT
October 21, 2026 at 3:30 PM
ESP32-S3 can run TinyML, but success hinges on memory, quantization, and real-time concurrency—not just a working demo. Production edge AI on…
https://dev.to/zediot/why-tinyml-on-esp32-s3-bottlenecks-on-memory-quantization-and-real-time-inference-45lc
#edge #IoT
https://dev.to/zediot/why-tinyml-on-esp32-s3-bottlenecks-on-memory-quantization-and-real-time-inference-45lc
#edge #IoT
Why TinyML on ESP32-S3 Bottlenecks on Memory, Quantization, and Real-Time Inference dev.to/zediot/why-t...
Why TinyML on ESP32-S3 Bottlenecks on Memory, Quantization, and Real-Time Inference
Why TinyML on ESP32-S3 Bottlenecks on Memory, Quantization, and Real-Time Inference When...
dev.to
October 20, 2026 at 7:12 PM
Why TinyML on ESP32-S3 Bottlenecks on Memory, Quantization, and Real-Time Inference dev.to/zediot/why-t...
“MLOps for Scaling TinyML” (HarvardX): Skill-based training modules include: 1) Know why and when deploying MLOps can help your (tiny) product or business, 2) Key MLOps platform features that you can deploy for your data science projects. Enroll today: edx.sjv.io/bkzOrB AI Academy 😀
October 21, 2026 at 7:27 PM
“MLOps for Scaling TinyML” (HarvardX): Skill-based training modules include: 1) Know why and when deploying MLOps can help your (tiny) product or business, 2) Key MLOps platform features that you can deploy for your data science projects. Enroll today: edx.sjv.io/bkzOrB AI Academy 😀
Thota, Member, IEEE, Alsmadi, Member, IEEE, Nikoubin, Member, IEEE: Heart Signal (ECG) as Vibration Signature for Human Authentication Using TinyML https://arxiv.org/abs/2610.24761 https://arxiv.org/pdf/2610.24761 https://arxiv.org/html/2610.24761
October 20, 2026 at 6:39 AM
Thota, Member, IEEE, Alsmadi, Member, IEEE, Nikoubin, Member, IEEE: Heart Signal (ECG) as Vibration Signature for Human Authentication Using TinyML https://arxiv.org/abs/2610.24761 https://arxiv.org/pdf/2610.24761 https://arxiv.org/html/2610.24761
SEFR (1.0.1) by Hamidreza Keshavarz
➡️ https://github.com/hamidkm9/SEFR-Arduino
Machine learning (TinyML) classifier that trains on the microcontroller itself, in one pass over the data.
#ArduinoLibs #ArduinoLibraries #AITainted
➡️ https://github.com/hamidkm9/SEFR-Arduino
Machine learning (TinyML) classifier that trains on the microcontroller itself, in one pass over the data.
#ArduinoLibs #ArduinoLibraries #AITainted
GitHub - hamidkm9/SEFR-Arduino: Machine learning (TinyML) classifier for Arduino that trains on the microcontroller itself, in one pass. SEFR, arXiv:2006.04620
Machine learning (TinyML) classifier for Arduino that trains on the microcontroller itself, in one pass. SEFR, arXiv:2006.04620 - hamidkm9/SEFR-Arduino
github.com
October 19, 2026 at 10:10 PM
SEFR (1.0.1) by Hamidreza Keshavarz
➡️ https://github.com/hamidkm9/SEFR-Arduino
Machine learning (TinyML) classifier that trains on the microcontroller itself, in one pass over the data.
#ArduinoLibs #ArduinoLibraries #AITainted
➡️ https://github.com/hamidkm9/SEFR-Arduino
Machine learning (TinyML) classifier that trains on the microcontroller itself, in one pass over the data.
#ArduinoLibs #ArduinoLibraries #AITainted
New on arXiv: LeanTTA adapts quantized ML models on edge devices without backpropagation, cutting memory use and removing dependence on large batches or stored state. A practical step toward running test-time…
#EdgeAI #TinyML #ModelQuantization #OnDeviceAI
https://arxiv.org/abs/2503.15889
#EdgeAI #TinyML #ModelQuantization #OnDeviceAI
https://arxiv.org/abs/2503.15889
October 19, 2026 at 6:01 PM
New on arXiv: LeanTTA adapts quantized ML models on edge devices without backpropagation, cutting memory use and removing dependence on large batches or stored state. A practical step toward running test-time…
#EdgeAI #TinyML #ModelQuantization #OnDeviceAI
https://arxiv.org/abs/2503.15889
#EdgeAI #TinyML #ModelQuantization #OnDeviceAI
https://arxiv.org/abs/2503.15889
Data Bias, TinyML & The Price of AI: A Call for Global Health Equity in Machine Learning www.youtube.com/watc...
October 9, 2026 at 6:30 PM
Data Bias, TinyML & The Price of AI: A Call for Global Health Equity in Machine Learning www.youtube.com/watc...
Data Bias, TinyML & The Price of AI: A Call for Global Health Equity in Machine Learning www.youtube.com/watc...
October 7, 2026 at 6:34 PM
Data Bias, TinyML & The Price of AI: A Call for Global Health Equity in Machine Learning www.youtube.com/watc...
Write some TinyML code that listens for loud noises to train your magic wand on pulse patterns.
September 30, 2026 at 1:27 PM
Write some TinyML code that listens for loud noises to train your magic wand on pulse patterns.
TinyML on Microcontrollers: A Practical, Student-Friendly Guide for Embedded Engineers! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
geni.us/TinyML-Micro
geni.us/TinyML-Micro
September 29, 2026 at 4:00 AM
TinyML on Microcontrollers: A Practical, Student-Friendly Guide for Embedded Engineers! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
geni.us/TinyML-Micro
geni.us/TinyML-Micro
TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist
geni.us/TinyML-Book
geni.us/TinyML-Book
September 29, 2026 at 4:00 AM
TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist
geni.us/TinyML-Book
geni.us/TinyML-Book
Rank-Reliable Teacher-Guided Fitness Approximation for Expensive Evolutionary Optimization: A TinyML Architecture Search Study
Soumen Garai, Suman Samui
#arXiv #cs.AI #cs.LG
Soumen Garai, Suman Samui
#arXiv #cs.AI #cs.LG
Rank-Reliable Teacher-Guided Fitness Approximation for Expensive Evolutionary Optimization: A TinyML Architecture Search Study
Expensive evolutionary search does not always need an exact fitness estimate for every candidate. It often needs a reliable answer to a simpler question: which candidate is better? We address this need through Teacher-Guided Learning NSGA-II (TGL-NSGA-II), a low-fidelity framework for constrained T…
arxiv.org
September 29, 2026 at 12:52 AM
TinyML Cookbook: Combine Machine Learning with Microcontrollers to Solve Real-World Problems! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist
geni.us/TinyMLCookbook
geni.us/TinyMLCookbook
September 29, 2026 at 4:00 AM
TinyML Cookbook: Combine Machine Learning with Microcontrollers to Solve Real-World Problems! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist
geni.us/TinyMLCookbook
geni.us/TinyMLCookbook