Backing its low-cost positioning, the board relies on a fully open-source toolchain. Also, while not official yet, Akshar ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Scientists in China have unveiled a new AI chip called LightGen that is 100 times faster and 100 times more energy efficient ...
Three artists, three questions, and a shared urge to find order in chaos through repetition, light, and form. Common ...
Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here's how they did it.
Cerebras’ giant chip and other advances in 2025 reflect a post-Moore’s-law shift toward parallel computing and broader AI ...
Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...
Funded through a $2.1 million National Science Foundation (NSF) grant, IceCore will replace UVM's six-year-old DeepGreen GPU cluster with one of the fastest academic supercomputers in the region, ...
Physicists at Silicon Quantum Computing have developed what they say is the most accurate quantum computing chip ever ...
We look at block vs file storage for contemporary workloads, and find it’s largely a case of trade-offs between cost, complexity and the level of performance you can settle for.
Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.