Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...

We test normal kernels on A3 384 SuperPOD. And we follow the DeepSeek-V3/R1 pretraining setting (4096 tokens per batch, 7168 hidden, top-8 experts, INT8 dispatching and BF16 combining).

Abstract: The Resource Efficient Image Super-Resolution for FPGA-Based Optimized Deep Learning – An Innovative Target Detection Model (REISFD) model is a deep learning model that uses FPGA ...

As artificial intelligence (AI) transitions from cloud-centric operations to edge devices, the hardware that powers AI is undergoing significant change. While graphics processing units (GPUs) have ...

Emeka Egbuka #2 of the Tampa Bay Buccaneers warms up before the game against the Arizona Cardinals at Raymond James Stadium on November 30, 2025 in Tampa, Florida. Getty Images Gambling content 21+.

No. 10 Iowa State women's basketball and No. 12 Iowa played an instant classic Hilton Coliseum in the annual Cy-Hawk game on Wednesday, Dec. 10. The Cyclones (11-0) and Hawkeyes (9-1) both entered ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

Nvidia, AMD, and Intel have all made high-quality image upscaling a cornerstone feature of their new GPUs this decade. Upscaling technologies like Nvidia’s Deep Learning Super Sampling (DLSS), AMD’s ...

Recently recognized with a CES 2026 Innovation Award, the solution combines video decoding, AI inference, and encoding on a single chip, offering 80% hardware cost savings compared to GPU ...