AI transformation depends on specialized chip innovation—power, cooling, cost, and design speed drive the next hardware era.

Researchers from Peking University say their resistive random-access memory chip may be capable of speeds 1,000 faster than the Nvidia H100 and AMD Vega 20 GPUs.

To discuss the Trump-Xi meeting, Geoff Bennett spoke with former U.S. Ambassador to China Nicholas Burns. A diplomat with ...

V SBC equipped with an integrated AI Machine Vision sensor that can recognize faces, objects, lines, colors, and tags.

Description: In this project I did a Christmas jumper with rgb LEDs, this can also be a creative clothing project or whatever ...

SEGGER introduces embedded software, Flasher BitStreamer, that further expands the programming capabilities of its ...

EV battery performance, safety, charging speed and range could be improved with technology in a new chip set for battery ...

We created a comprehensive ESP32 CAM Telegram bot tutorial that can capture images and record custom-duration AVI videos, ...

Meshtastic, an open-source firmware for long-range mesh networking, offers an elegant solution. Using LoRa radios allows ...

O n 7 October, the open-source hardware community woke up to surprising news. Qualcomm, the tech giant behind the Snapdragon ...

Learn the basics of embedded systems hacking with Arduino, Raspberry Pi & RTOS. Discover GPIO, interrupts, hands-on projects ...