DreamVu Publishes PRISM: A Multi-View Retail Video Dataset for Embodied AI Research

DreamVu's PRISM dataset cuts embodied AI error rates 66.6%. 270K retail video samples, open subset on Hugging Face. NVIDIA Inception member ...
VentureBeat

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
NextBigFuture

OpenAI Strawberry LLM Reasoning Needs More Compute and Energy for Inference

Jim Fan is one of Nvidia’s senior AI researchers. The shift could be about many orders of magnitude more compute and energy needed for inference that can handle the improved reasoning in the OpenAI ...
Forbes

On Whether Generative AI And Large Language Models Are Better At Inductive Reasoning Or Deductive Reasoning And What This Foretells About The Future Of AI

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing analysis of the ...
Ars Technica

LLMs’ “simulated reasoning” abilities are a “brittle mirage,” researchers find

In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a “chain of thought” process to work through tricky problems in multiple logical steps. At the ...