Imagine writing software without touching a keyboard. This neural interface reads brain waves and turns them directly into code, pushing the boundaries of programming and human-computer interaction.

Large Language Models (LLMs) have showcased remarkable capabilities in recent years. One of the most intriguing facets of their capabilities is their adeptness across a wide variety of tasks.

Sakura Pi RK3308B is a small SBC powered by the Rockchip RK3308B quad-core Cortex-A35 SoC that I saw when I covered the Linux 6.17 release at the end of last month. The board comes with 512 MB of DDR3 ...

SALT LAKE CITY — Utah's capital city is another step closer to adopting a new fire code for homes and properties next to areas most prone to wildfires. However, Salt Lake City's proposed zoning text ...

Renesas’ RL78/L23 is a low-power 16-bit MCU with built-in segment LCD, capacitive touch, dual-bank flash for FOTA, and a wide 1.6–5.5 V operating voltage range. It targets HMI appliances, metering, ...

A curated collection of 8051 microcontroller projects featuring source code, HEX files, Proteus simulation files, and detailed documentation. Includes projects on LED patterns, timers, seven-segment ...

What just happened? FFmpeg developers keep on crunching "handwritten" assembly code to make the multimedia project faster than ever before. Thanks to newer vector-based instructions included in modern ...

A software engineer taught AI to hunt bugs by interfacing an LLM with debugging tools and has released the open source code: 'It's like going from hunting with a stone spear to using a guided missile' ...