HONG KONG - Nano Labs Ltd (NASDAQ:NA), a Web 3.0 infrastructure and product solution provider with a current market capitalization of $130 million, announced Wednesday that its board of directors has ...

A US Department of Energy (DOE) employee has lost his security clearance after uploading *checks notes* 187,000 pornographic images to the DOE network (first reported by 404 Media). The individual's ...

What just happened? Qualcomm is buying Arduino – the Italian open-source darling of tinkerers, educators, and inventors – in a deal that underscores how the battle for the edge starts with the makers.

If you've been waiting to create AI images with Google's newest model, now's the time to dive in. Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video ...

Sora 2, the latest model of OpenAI's text-to-video tech, has now launched alongside a dedicated app. Besides spitting out all of the soulless, AI-generated Studio Ghibli-style animation one could ever ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

MicroPython v1.26.0 on 2025-08-09; Arduino Nano ESP32 with ESP32S3 Type "help()" for more information. >>> raw REPL; CTRL-B to exit >OK[['boot.py', 32768, 0, 139]] > MicroPython v1.26.0 on 2025-08-09; ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now After years of hype and speculation, OpenAI ...

Here's a closer look at the programming behind my animatronic mouth. Using Arduino, Python, and a few open-source libraries, I take a typed sentence and convert it into an animation sequence.

Arduino has shrunk the UNO R4 with the Arduino Nano R4 board equipped with the same 48 MHz Renesas RA4M1 32-bit Arm Cortex-M4F microcontroller, but offered in a much more compact form factor. It’s ...

Abstract: This Paper outlines the creation, construction, and evaluation of a Real-Time Voice Recognition System using TinyML on an Arduino Nano 33 BLE, a hardware platform with limited resources.