After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can be only one big winner—if there is a winner at all.

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

New benchmark study results show leading AI models, including ChatGPT, Claude, and Gemini, still lag humans in visual math reasoning.

OpenAI's GPT-5.4 mini and nano launch - with near flagship performance at much lower cost ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

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