Meta is evaluating its AI training accelerator, which could reduce its reliance on Nvidia's AI GPUs for training.

The new AURIX family will cover a wide range of automotive applications from entry-level MCUs up to high-performance MCUs ...

With RISC-V International, the body controlling the RISC-V instruction set, located in Switzerland for the past five years, ...

The Orange Pi RV2 combines a RISC-V eight-core from China with many connections, including two Gigabit Ethernet ports and two ...

LDRA today announced that the LDRA tool suite now supports the hardware-based, multicore mitigation capabilities of RISC-V processors such as Microchip, Synopsys and ANDES Technology. Developers can ...

RISC-V business Meta is quietly testing RISC–V–based AI training chips to kick Nvidia out of its wallet. The social ...

Assembly programming, often regarded as the cornerstone of low-level computing, plays a vital role in the electronics ...

The Xen Project has announced the release of Xen 4.20, the latest iteration of its open-source type-1 hypervisor, introducing ...

Discover the ultra-portable 8-inch 2-in-1 mini laptop with a compact design, vibrant display, and versatile features perfect for travel and ...

Discover the differences between keyword, vector, and hybrid search systems. Learn how to optimize search performance with ...

Global sales of smartwatches have fallen for the first time, new figures indicate, in large part due to a sharp decline in ...