NVIDIA Showcases Latest Advances in Physical AI for Robotics

NVIDIA highlights new advancements in Physical Artificial Intelligence for smarter, autonomous robotics.

This National Robotics Week, NVIDIA is putting the spotlight on groundbreaking technologies that are shaping the future of intelligent machines. These advancements are driving progress across multiple sectors, including manufacturing, healthcare, and logistics, as machines gain the ability to operate with greater autonomy and intelligence.

Key innovations include advancements in robotics simulation and robot learning, powered by emerging world foundation models. These technologies are pivotal in creating AI-enabled robots capable of adapting to rapidly changing and complex environments, facilitating a significant shift within the industry.

NVIDIA´s platforms, such as the NVIDIA GR00T N1, Isaac Sim, and Isaac Lab, offer robust frameworks for robot simulation, training, and synthetic data generation. These resources arm developers and researchers with the tools needed to innovate and push the boundaries of what robots can achieve, promoting advancements across diverse industries throughout the week.

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LLM-PIEval: a benchmark for indirect prompt injection attacks in large language models

Large language models have increased interest in Artificial Intelligence and their integration with external tools introduces risks such as direct and indirect prompt injection. LLM-PIEval provides a framework and test set to measure indirect prompt injection risk and the authors release API specifications and prompts to support wider assessment.

NVIDIA may stop bundling memory with gpu kits amid gddr shortage

NVIDIA is reportedly considering supplying only bare silicon to its aic partners rather than the usual gpu and memory kit as gddr shortages constrain fulfillment. The move follows wider industry pressure from soaring dram prices and an impending price increase from AMD of about 10% across its gpu lineup.

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