Search Results for : machine learning

At CES2024, AONDevice unveiled its new on-device machine learning chip, the AON1120. It features a RISC-V core, two NPU coprocessors, and a DSP, and operates at a remarkably low power consumption of just 260μW for full-load audio classification tasks. The AON1120 is a system-on-chip...

LILYGO, a specialist in embedded electronics, has recently introduced a compact development board featuring a touch-screen centered on the Espressif ESP32-S3. This new offering is called the LILYGO T4 S3 and comes with a 2.41" full-color AMOLED display. The recently launched...

Nordic Semiconductor just released a new add-on for their Thingy:53 IoT prototyping kit. It's called the nRF7002 EB, and it brings Wi-Fi 6 to the table. This means you get one device that can talk through Matter, Bluetooth Low Energy, Thread, and dual-band Wi-Fi. The nRF7002 Expansion...

Mixtile Cluster Box is a four-slot chase that can hold up to four Mixtile Blade 3 boards. Released last year, this board is powered by the Rockchip RK3588 SoC. What makes this board different from others is the U.2 Interface which provides a fast, reliable, and scalable storage solution...

The Adafruit Metro ESP32-S3 is a development board based on the ESP32-S3, designed in a form factor similar to an Arduino UNO or Adafruit Metro. The board features built-in Wi-Fi Bluetooth capabilities and can be programmed with Arduino or Circuit Python. The core of the board is an...

The ED-AIC2100 and ED-AIC2000 are two new AI camera modules powered by the RPi CM4, and designed for industrial and commercial applications. These camera systems are equipped with the Broadcom BCM2711 CPU and offer storage options of 8GB, 16GB, or 32GB eMMC. They feature a...

Toradex, a leader in Industrial IoT, Edge, and embedded computing solutions, today announced the start of the early access program in collaboration with NXP® Semiconductors for the i.MX 95 Titan EVK - Toradex’s Evaluation Kit (EVK) based on NXP’s flagship i.MX 95 applications...

TinyM2Net is a multimodal learning framework, designed to work with resource-constrained tiny devices like microprocessors and microcontrollers. When tested with COVID-19 audio detection and battlefield object detection, It outperformed similar recognition tools and worked well on a...