NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing.
Category: Misc
AI agents are transforming work, delivering time and cost savings by helping people resolve complex challenges in new ways. Whether developed for humanitarian aid, customer service or healthcare, AI agents built with the NVIDIA AI Enterprise software platform make up a new digital workforce helping professionals accomplish their goals faster — at lower costs and
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The telecom industry is increasingly embracing AI to deliver seamless connections — even in conditions of poor signal strength — while maximizing sustainability and spectral efficiency, the amount of information that can be transmitted per unit of bandwidth. Advancements in AI-RAN technology have set the course toward AI-native wireless networks for 6G, built using AI
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Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average. That massive, continuous flow of data generated by base stations, routers, switches and data centers — including network traffic information, performance metrics, configuration and topology — is unstructured and complex. Not surprisingly, traditional
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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 enhance the team member experience. Today at the NVIDIA GTC conference, Yum! Brands announced a
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Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to…
Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to developing the next generation of robotics. Physics plays a crucial role in robotic simulation, providing the foundation for accurate virtual representations of robot behavior and interactions within realistic environments.
The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and…
The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and representative datasets, these systems don’t get proper training and face testing risks due to poor generalization, limited exposure to real-world variations, and unpredictable behavior in edge cases. Collecting massive real-world datasets for…
Humanoid robots are designed to adapt to human workspaces, tackling repetitive or demanding tasks. However, creating general-purpose humanoid robots for…
Humanoid robots are designed to adapt to human workspaces, tackling repetitive or demanding tasks. However, creating general-purpose humanoid robots for real-world tasks and unpredictable environments is challenging. Each of these tasks often requires a dedicated AI model. Training these models from scratch for every new task and environment is a laborious process due to the need for vast task…
With the release of NVIDIA AgentIQ—an open-source library for connecting and optimizing teams of AI agents—developers, professionals, and researchers can…
With the release of NVIDIA AgentIQ—an open-source library for connecting and optimizing teams of AI agents—developers, professionals, and researchers can create their own agentic AI applications. This tutorial shows you how to develop apps in AgentIQ through an example of AI code generation. We’ll build a test-driven coding agent using LangGraph and reasoning models to scale test-time computation.
Organizations are embracing AI agents to enhance productivity and streamline operations. To maximize their impact, these agents need strong reasoning abilities…
Organizations are embracing AI agents to enhance productivity and streamline operations. To maximize their impact, these agents need strong reasoning abilities to navigate complex problems, uncover hidden connections, and make logical decisions autonomously in dynamic environments. Due to their ability to tackle complex problems, reasoning models have become a key part of the agentic AI…