Blog List

The quick-service restaurant industry is a marvel of modern logistics, where speed, teamwork and kitchen operations are key ingredients for every order. Yum! Brands is now introducing AI-powered agents at select Pizza Hut and Taco Bell locations to assist and

As generative AI capabilities expand, NVIDIA is equipping developers with the tools to seamlessly integrate AI into creative projects, applications and games to unlock groundbreaking experiences on NVIDIA RTX AI PCs and workstations. At the NVIDIA GTC global AI conference

Every second, businesses worldwide are making critical decisions. A logistics company decides which trucks to send where. A retailer figures out how to stock its shelves. An airline scrambles to reroute flights after a storm. These aren’t just routing choices

AI is now mainstream and driving unprecedented demand for AI factories — purpose-built infrastructure dedicated to AI training and inference — and the production of intelligence. Many of these AI factories will be gigawatt-scale. Bringing up a single gigawatt AI

Physical AI is unlocking new possibilities at the intersection of autonomy and robotics — accelerating, in particular, the development of autonomous vehicles (AVs). The right technology and frameworks are crucial to ensuring the safety of drivers, passengers and pedestrians. That’s

Scientists and engineers of all kinds are equipped to solve tough problems a lot faster with NVIDIA CUDA-X libraries powered by NVIDIA GB200 and GH200 superchips. Announced today at the NVIDIA GTC global AI conference, developers can now take advantage

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Large language models (LLMs) have demonstrated remarkable capabilities in reasoning, language understanding, and even creative tasks. Yet, a key challenge persists: how to efficiently integrate external knowledge. Traditional methods such as fine-tuning and Retrieval-Augmented Generation (RAG) come with trade-offs—fine-tuning demands

This paper tackles a critical question: can multimodal AI models perform accurate reasoning when faced with uncertain visual inputs? The researchers introduce I-RAVEN-X, a modified version of Raven’s Progressive Matrices that deliberately introduces visual ambiguity, then evaluates how well models