Top Tweets for #Tinyml
🌟 Exciting advancement in chemical sensing!
TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks by Adir Krayden, et al.
https://t.co/aKoSKohHXd
@TechnionLive
#Chemosensors #gassensordrift #TinyML #convolutionalneuralnetworks
Explore how TinyML is shaping the future of edge AI and what it means for businesses building the next generation of intelligent devices.
Read the full blog to learn more. https://t.co/UEmjTSeBBW
#TinyML #EdgeAI #MachineLearning #ArtificialIntelligence #EdgeComputing
#ITTIA DB Lite AI on #STM32 devices transforms raw motor signals into explainable, production-ready #EdgeAI intelligence.
https://t.co/3ShPV3ncCH
#TinyML #STAuthorizedPartner #STPartnerProgram #AutonomousRobotics #EmbeddedSystems #EmbeddedAI #MotorHealth #IndustrialAutomation
Edge AI and TinyML in IoT
https://t.co/aUeCVtVXdj
Edge AI shifts inference to devices, improving speed, reliability, privacy, and cost while avoiding the bandwidth and fragility of sending all data to the cloud.
#talkingiot #tinyml #edgeai #iot #ai
#LSPPDay38
Today, I:
- connected live MPU6050 sensor data to my C++ firmware
- built a real-time data buffer to feed the AI engine
- achieved live, on-device gesture classification directly on the ESP32!
@lftechnology
#LearningWithLeapfrog #60DaysOfLearning2026 #TinyML #ESP32
#LSPPDay36
Today, I:
- streamed live IMU sensor data directly into Edge Impulse
- trained a TinyML neural network to recognize physical gestures
- successfully ran the compiled AI model directly on my ESP32
@lftechnology
#LearningWithLeapfrog #60DaysOfLearning2026 #TinyML #ESP32
#LSPPDay35
Today, I:
- moved from software simulation to physical hardware
- learned how the MPU6050 sensor tracks 3D movement
- wired it to the ESP32 to read live physical gestures
@lftechnology
#LearningWithLeapfrog #60DaysOfLearning2026 #TinyML #ESP32
#LSPPDay34
Today, I:
- shrank my AI model to run on tiny devices
- changed heavy decimals into simple numbers
- made sure the 13KB file runs fast on the ESP32
@lftechnology
#LearningWithLeapfrog #60DaysOfLearning2026 #TinyML
#LSPPDay33
Today, I:
- converted my Keras model to ONNX
- benchmarked ONNX (34KB | 0.04ms) vs. TFLite (13KB | 0.01ms)
- confirmed TFLite is the right choice for ESP32 constraints
@lftechnology
#LearningWithLeapfrog #60DaysOfLearning2026 #TinyML
#LSPPDay32
Testing edge AI! Today, I:
- ran 100 local tests
- compared Keras (33ms) to TFLite (<1ms)
- checked the 13KB size fits ESP32 memory
- got the tiny model ready for hardware
@lftechnology
#LearningWithLeapfrog #60DaysOfLearning2026 #TinyML
Training an edge vision model is only half the job. @roboflow + @openmvcam show the path: prep data, train/export a custom model, then deploy it to NPU-enabled OpenMV AE3/N6 smart cameras for live MCU-class inference.
https://t.co/l9JNYiJaKh
#EdgeAI #ComputerVision #TinyML
👁️ AI at the edge starts here.
Arduino Nicla Vision packs:
📷 2MP Camera
⚡ STM32H747 Dual-Core MCU (up to 480MHz),📏 ToF Distance Sensor,🧭 6-Axis IMU,🎙️ Microphone,📶 Wi-Fi + BLE
#IndusTechnologies #Arduino #NiclaVision #EdgeAI #ComputerVision #TinyML #IoT #EmbeddedSystems
🚀 Embedded Systems Jobs Are Skyrocketing in India!
The future isn't just software. It's Software + Hardware + AI.
🌐 https://t.co/7LuvSuBckQ
📞 +91 98869 20008
#EmbeddedSystems #EmbeddedEngineering #EdgeAI #TinyML #Semiconductor #IoT #IndustryUpdate #ElectronicsEngineering
📊 This is a Wio Terminal AI Token Dashboard project — see your Claude / Codex quota (5h/7d), today's tokens & cost in real time, right on your desk.
🔸 Auto-fetched locally
🔸 Pushed over BLE
🔸 100% on-device
👉 Try it: https://t.co/GWT8Eh9Kq4
@SeeedStudio #EdgeAI #TinyML #AIoT
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