AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

Hardware requirements vary for machine learning and other compute-intensive workloads. Get to know these GPU specs and Nvidia GPU models. Chip manufacturers are producing a steady stream of new GPUs.

Presenting you with a multi-tasking, all-in-one GPU, NVIDIA RTX 3090. So starting from Tensor cores to some awesome features like real-time ray facing, this GPU has it all. Solving research and data ...

A new survey paper describing Micron’s Automata Processor (AP) was recently published. AP has many potential applications in data mining, bioinformatics, natural language processing, etc. Micron has ...

Adobe, Baidu, Netflix, Yandex. Some of the biggest names in social media and cloud computing use NVIDIA CUDA-based GPU accelerators to provide seemingly magical search, intelligent image analysis and ...

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...

Apple has unveiled new 13- and 15-inch MacBook Airs that feature the M3 processor, Wi-Fi 6E, support for two external displays, and up to 18 hours of battery life. The M3 chipset features an 8-core ...