With two cores at 240 MHz and about 8.5 MB of non-banked RAM if you’re using the right ESP32-S3 version, this MCU seems at ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Two of the leading pure-play quantum computing stocks are IonQ ( IONQ +4.21%) and D-Wave Quantum ( QBTS +7.57%). While both ...

For more than a decade, Nvidia’s GPUs have underpinned nearly every major advance in modern AI. That position is now being challenged. Frontier models such as Google’s Gemini 3 and Anthropic’s Claude ...

A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...

Advanced Micro Devices is rapidly gaining share in the AI accelerator market, with 2024 data center revenue nearly doubling.

From CPUs that overheated to those with poor performance—plus some that nearly killed the companies that made them.

The technology landscape is approaching a fundamental transformation. As we stand at the threshold of 2026, five key trends ...

With the rapid expansion of quantum computing hardware, efficiently compiling high-level quantum programs to run on physical quantum chips has become ...

IAR extends its RISC-V toolchain support to SiFive’s automotive E7A and S7A IP cores. Dec. 24, 2025 – IAR and SiFive, Inc. have announced support for SiFive’s Automotive IP ...

Google is enhancing its AI chips to improve compatibility with PyTorch, aiming to challenge Nvidia's dominance in the AI computing market.