Tagged "microcontroller"
7 articles tagged microcontroller, 1 March 2026 to 14 September 2026. Newest first.
-
Alif Semiconductor Launches Low-Cost StartKits for Edge AI MCUs
Alif Semiconductor introduces affordable development kits for their edge AI microcontroller units, enabling broader adoption of on-device inference across IoT and embedded applications.
-
Running Espressif's OpenClaw-Inspired AI Agent on ESP32 with Self-Hosted LLM Works in Practice
A developer successfully deployed an AI agent on ESP32 microcontroller hardware using a self-hosted LLM backend, demonstrating the feasibility of edge AI at the microcontroller level. This achievement showcases practical integration of local inference across diverse hardware platforms.
-
CricketBrain: Neuromorphic Signal Processor in Rust (0.175us/step, 944 bytes)
CricketBrain is an ultra-efficient neuromorphic signal processor written in Rust, achieving extraordinary performance metrics (sub-microsecond latency, minimal memory footprint) that demonstrate new possibilities for edge AI inference.
-
ESP32-S31: 320MHz 2-Core Microcontroller with 512KB SRAM and Networking
Espressif announces the ESP32-S31, a new microcontroller featuring dual cores, 512KB SRAM, Gigabit Ethernet, and 802.11ax WiFi, opening new possibilities for extreme edge LLM inference on IoT devices.
-
Running an AI Agent on a 448KB RAM Microcontroller
A breakthrough demonstration of deploying AI agents on severely resource-constrained embedded systems using Zephyr RTOS, pushing the boundaries of edge inference to microcontroller-class hardware.
-
Texas Instruments Launches NPU-Powered MCUs for Low-Power Edge AI
Texas Instruments introduces new microcontrollers with integrated Neural Processing Units, enabling ultra-low-power AI inference on resource-constrained edge devices.
-
How to Run High-Performance LLMs Locally on the Arduino UNO Q
A practical guide demonstrating how to deploy and run efficient LLMs directly on Arduino UNO Q microcontroller hardware, enabling true edge inference on resource-constrained embedded devices.