A new paper claims the theoretical speed limit for matrix multiplication is much lower than anyone had proven. It hasn’t been ...

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

This is the fifth installment of the mathematics series. In the first article, “Fermat Test — Another Principle of Primality ...

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

Every cell in the human body contains the same genome, yet a skin cell, a neuron, and an immune cell behave in radically ...

Put on a song you love through cheap earbuds, then play it again on a good pair of wired headphones. Something changes. The ...

Accelerates research and development by enabling AI-augmented workflows and automated lab-in-the-loop cycles, already a new ...

A deep reinforcement learning system rethinks how video storage tiers are managed, lifting streaming quality by up to 31.4% ...

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 ...

New circuits leverage large language models to reduce qubit counts for quantum calculations, potentially simplifying quantum ...

The confusion, the fear, the desperate race to understand a brand-new pathogen that was upending lives globally? What if I told you that the very same genetic technology that helped us identify and ...

A new framework demonstrates robust quantum speedups for quantum chemistry simulations, potentially overcoming limitations of ...