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.

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

When NVIDIA CEO Jensen Huang took the stage at the SAP Center in San Jose yesterday, he delivered a two-and-a-half-hour ...

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As self-driving cars begin operating in cities, a question remains about how to make them work in rural areas with limited telecommunications infrastructure. New research from Washington State ...

SANTA CLARA, CA - March 16, 2026 - - As generative artificial intelligence reshapes the software landscape, technology ...

AI leaders boast about their models’ superhuman technical abilities. The technology can predict protein structures, create ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...

VANCOUVER, Wash. - As self-driving cars begin operating in cities, a question remains about how to make them work in rural areas with limited ...

Real-world AI for robots is hard and expensive to create. Or is it? Researchers at a UK university just showed us how to teach robots like humans ...