Top Tweets for #tinyml
InnoVEX was a great show for POLYN. Strong interest in what we had to say about the range of applications for our NASP chips. https://t.co/exiH0Bgb1e
#AI #advancedsensors #neuromorphic #tinyml #neuralnetworks #edgeAI #ultralowpower #wearables #voiceprocessing #tiresafety
第4回を公開しました。
今回は学習データの可視化とクリーニングをする回です。
Python/JupyterLab環境を構築、JupyterLabを用いて簡易UIでのクリーニングをします。
https://t.co/kB3oB0cFvd
#zenn #Python #JupyterLab #Matplotlib #TinyML #ipywidgets
🌍 How can #TinyML help bring sustainable #AI closer to communities with limited resources?
Our latest @RAIDO_project article explores Green AI orchestration, edge intelligence & energy-efficient AI for agriculture, healthcare & environmental monitoring.
https://t.co/0vDwqzFqP1
第3回を公開しました。
今回は「杖先の動き」を学習データにする回です。
SEN0158で取得した座標列を、ジェスチャ1回分の軌跡として切り出し、32点×4特徴量の固定長データへ変換します。
https://t.co/3Aghnie7Lh
#zenn #M5Stack #MicroPython #TinyML
📢#MDPIfutureinternet | Highly Cited Articles in #MachineLearning
📝 Secure Tiny Machine Learning on #EdgeDevices: A Lightweight Dual Attestation Mechanism for Machine Learning
🔗 https://t.co/zoCBpZ6SCw
#IoTsecurity #TinyML #edgeAI #federatedlearning
@ComSciMath_Mdpi
ITTIA DB Lite AI and #STM32 #SensorFusion enable real-time data management and AI-ready processing on MCUs, powering smarter and more reliable robotic systems.
https://t.co/xsG9WWYQyY
@ST_World
#EdgeAI #TinyML #STAuthorizedPartner #STPartnerProgram #Robotics #SmartRobotics
Zenn連載の第1回を公開しました。
無改造USJハリポタ杖をIoT入力デバイス化する構成・実装・追走手順を、全6回で投稿していきます。
部品代約8,000円（杖含まず）で、おうちをホグワーツ化しよう！
https://t.co/gsglHoLFjf
#Zenn #M5Stack #TinyML #MicroPython
USJのハリポタ杖を改造せず、M5Stack AtomS3でIoT入力デバイス化する連載を始めました。
第1回は、技術概要とコンセプト編。
杖先のIR反射を検出、AtomS3上で軌跡処理・TinyML推論・家電操作API発行まで行う「魔法の杖」追走ガイド。
https://t.co/gsglHoLFjf
#zenn #M5Stack #TinyML #MicroPython
USJのハリポタ杖を、無改造のままIoT入力デバイス化しました。
PCやクラウドAIは使わず、M5Stack AtomS3上でセンサーからのIR反射点の取得、TinyML推論、家電操作API発行まで実行。
杖先の動きで照明ON/OFFを操作します。
Zennにて技術解説と追走ガイドを連載予定。
#M5Stack #TinyML #MicroPython
📢 Highly Cited Paper in JLPEA! #call_for_reading
“Optimizing BFloat16 Deployment of Tiny Transformers on Ultra-Low Power Extreme Edge SoCs”
by Alberto Dequino et al.
🔗 Read the paper:
https://t.co/MxzlxULIZG
#JLPEA #TinyML #EdgeAI #Transformers #RISCV #Microcontrollers
Edge AI and TinyML focus on bringing intelligence directly to embedded and IoT devices, enabling real-time data processing with low latency, reduced power consumption, and minimal cloud dependency.
#EdgeAI #TinyML #AgenticAI #ArtificialIntelligence #EmbeddedSystems #IoT
Fully offline natural language voice AI running on an MCU.
This demo showcases @Trulyhandsfree Language Model on the Alif Ensemble E3 ft. dual @Arm Cortex-M55s + dual Ethos-U55s delivering 200+ GOP/s at ~35mW.
🔗https://t.co/jvLvVNdx3s
#EdgeAI #VoiceAI #TinyML #EmbeddedAI
Going to InnoVEX? Don’t miss POLYN and the chance to learn more about the tremendous benefits and capabilities of our NASP #chips. https://t.co/exiH0Bgb1e
#AI #advancedsensors #neuromorphic #tinyml #neuralnetworks #edgeAI #ultralowpower #wearables #voiceprocessing #tiresafety
Are you developing the next generation of intelligent #MedicalDevices? Join our hands-on workshop and learn how to build data-centric #EdgeAI applications.
https://t.co/Z9sndzoKIo
@ST_World #TinyML #STAuthorizedPartner #STPartnerProgram #HealthcareTechnology #DigitalHealth
Built 4 variants of V10 and benchmarked all:
Float32: 80.7 KB, 79.35%
Full INT8: 24.1 KB, 79.55% ← BEST
Gap: +0.20% (quantized BEATS float32)
No QAT needed. No accuracy loss.
deployment ready: 24KB, int8 I/O.
#EdgeAI #TinyML #Quantization #ESP32
ModelCat was selected for the 2026 Amazon Devices Climate Tech Accelerator, run with @PlugandPlayTC. The angle: using edge AI inference to reduce device energy use and cloud dependence.
https://t.co/Vi4jzuAC1f
#EdgeAI #TinyML #ClimateTech @ModelCat_ai
SRL does not rely on heavy LLMs.
It uses highly specialized Low-Level Symbolic Regression (#TinyML). Sovereign nodes run iterative code-ablation tests on their own binary to find execution bottlenecks caused by any kind of either hardware or own code design flaws.
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