Nvidia(US:NVDA) 机器之心·2025-11-20 02:07Core Insights - The article discusses the introduction of LabOS, a groundbreaking AI platform that integrates AI with XR (Extended Reality) to enhance scientific research and experimentation, marking a new era of human-machine collaboration in science [2][4]. Group 1: LabOS Overview - LabOS is the world's first Co-Scientist platform that combines multi-modal perception, self-evolving agents, and XR technology, creating a seamless connection between AI computational reasoning and real-time human-robot collaboration in experiments [4]. - The platform aims to significantly reduce the time and cost of scientific research, with claims that tasks that previously took years can now be completed in weeks, and costs reduced from millions to thousands of dollars [4]. Group 2: AI's Evolution in Laboratories - Traditional scientific AI systems, like AlphaFold, operate in a purely digital realm and are unable to perform physical experiments, which limits research efficiency and reproducibility [6]. - LabOS represents a significant advancement by creating a system that integrates abstract intelligence with physical operations, enabling AI to function as a collaborative scientist in real laboratory settings [6][8]. Group 3: World Model and Visual Understanding - The complexity of laboratory environments necessitates high demands on AI's visual understanding, leading to the development of the LabSuperVision (LSV) benchmark, which assesses AI models' capabilities in laboratory perception and reasoning [13]. - LabOS has been trained to decode visual inputs from XR glasses, achieving a significant improvement in visual reasoning capabilities, with a 235 billion parameter version achieving over 90% accuracy in error detection [13][16]. Group 4: Applications in Biomedical Research - LabOS has demonstrated its capabilities through three advanced biomedical research cases, including the autonomous discovery of new cancer immunotherapy targets, showcasing its end-to-end research capabilities from hypothesis generation to experimental validation [22][25]. - The platform also aids in the mechanism research of biological processes, such as identifying core regulatory genes, and enhances reproducibility in complex wet experiments by capturing expert operations and forming standardized digital processes [29][32]. Group 5: Future Implications - The emergence of LabOS signifies a fundamental shift in the paradigm of scientific discovery, aiming to expand the boundaries of science through collaboration with AI [32]. - The integration of AI and robotics into laboratories is expected to accelerate the pace of scientific discoveries, transforming the traditional reliance on individual expertise into a more scalable and reproducible scientific process [32].