Physical Robot Screeners Facilitate Autonomous Assessment of Mild Cognitive Impairment

Date：2026-01-30

A robot that conducts contactless assessments of Mild Cognitive Impairment (MCI) based on objective physiological indicators. Leveraging its self-developed high-precision eye-tracking module, it can complete a contactless cognitive assessment within 5 minutes through gaze-based mini-games, thereby enabling the early detection and intervention of Alzheimer’s disease and other related conditions. This robot is currently in clinical use at Xuanwu Hospital of Capital Medical University in Beijing.

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New open models, data and tools to drive AI advancement across all industries

Date：2026-01-23

NVIDIA is contributing open-source training frameworks and one of the world’s largest open multimodal datasets, which includes 10 trillion language training tokens, 500,000 robotic trajectories, 455,000 protein structures, and 100 TB of automotive sensor data. This unprecedented scale of diverse open resources will accelerate innovation across natural language processing, robotics, scientific research, and autonomous vehicle development.

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Multi-Agent Intelligent Warehouse & Catalog Enrichment AI Blueprint, Empowering Retail Supply Chains

Date：2026-01-19

NVIDIA’s new Multi-Agent Intelligent Warehouse (MAIW) and Retail Catalog Enrichment AI Blueprint addresses retail’s pain points of outdated systems, data silos and soaring customer expectations—issues that hamper efficiency and consistency in new seasonal launches and SKU expansion, despite teams’ dedicated efforts to deliver seamless shopping experiences. Its open-source developer reference kit empowers customized AI-driven solutions across the full retail value chain, cutting integration costs, accelerating application deployment, unlocking industry-needed efficiency and enterprise-scale capabilities, and building a critical foundation for retail competitive advantage.

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How OpenUSD and Digital Twins Drive the Development of Industrial AI and Physical AI

Date：2026-01-16

As part of the Insight Omniverse series, this article shows how updated OpenUSD and NVIDIA Omniverse tools help developers and enterprises transform workflows, build large-scale, physics-accurate digital twins (to optimize manufacturing and train AI systems) and accelerate Physical AI’s real-world use.

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Alpamayo open-source AI models & tools for safer, faster inference-based assisted driving

Date：2026-01-12

NVIDIA pioneered the open Visual-Language-Action Reasoning Model (Reasoning VLA) for assisted driving’s long-tail scenarios, with its Alpamayo series offering supporting simulation tools and datasets to boost vehicle perception, reasoning and human-like decision-making, as well as model optimization. Leading mobility firms and research communities like Jaguar Land Rover, Uber and Berkeley DeepDrive are leveraging Alpamayo to accelerate the safe deployment of inference-based Level 4 assisted driving.

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