RAKwireless “RAK3112 WisDuo Module for Edge AI with LoRa” combines an ESP32-S3 WiFi and BLE SoC with a Semtech SX1262 LoRa transceiver for Edge AI applications and Meshtastic user interfaces. The 3-in ...

Abstract: The recent tiny federated learning (TinyFL) paradigm has generated significant interest in enabling resource-constrained edge devices to perform local machine learning training. TinyFL ...

With TensorFlow Lite for Microcontrollers, you can run machine learning models on resource-constrained devices. Want to learn more? You can use it with Edge Impulse for speech recognition on an ...

Seeed Studio’s Grove Vision AI V2 module is based on the HiMax WiseEye2 HX6538 dual-core Cortex-M55 AI microcontroller with an Arm Ethos-U55 microNPU and features a MIPI CSI connector for an OV5647 ...

Amity School student Saumya Chauhan hopes her object-detection device will help the visually challenged handle daily challenges more confidently Share Innovation and entrepreneurship have nothing to ...

Future economic growth could be significantly impacted by AI chips, which will unavoidably be used in robotics, smart homes where electronic items are becoming more intelligent, cars that are becoming ...

All of the machine language stuff coming out lately doesn’t affect you if you are developing with embedded microcontrollers, right? Perhaps not. Microsoft Research India wants you to use their EdgeML ...

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

Abstract: Traditionally, original equipment manufacturers (OEMs) send device-specific over-the-air (OTA) packages to ensure the latest firmware, security patches, etc. With millions of IoT devices, ...