LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...

AI open-source community achieved a breakthrough in solving OpenAI’s challenging integer multiplication problem within just ...

In 2025, Google DeepMind announced that it had used AI to make AI training more efficient.A system called "AlphaEvolve" ...

Despite these issues, experts say the results are jaw-dropping. The papers span mathematics, theoretical computer science, physics, and more. Some of the discoveries could have easily netted a human ...

A new open-source solver called GAUZZ runs geodynamic Stokes equations on GPUs up to eleven times faster than a 32-core CPU ...

The Museo de Historia de la Computación in Spain has unveiled a full-size Cray-1 supercomputer replica powered by 30 vintage Mac minis, marking ...

Martin Shkreli, the ex-pharma executive turned market gadfly, is making an uncomfortable case about the two most hyped technologies on Wall ...

Researchers have shown that an unprotected hardware accelerator for the post-quantum encryption standard ML-KEM leaks its ...

The threat of quantum computers to government systems, how AI is upending math and the ongoing Pentagon-Anthropic saga. All ...

Plus, agentic EDA and AI-generated analog layout, small chip fabs, diamond-based defect inspection, large-area nanoimprint ...