AI 업계의 최신 소식을 빠르게 확인하세요.
As factories move from isolated automation to plantwide intelligence, manufacturers need AI systems that can connect live machine signals, quality systems, work instructions and operational alerts into a unified decision layer.
Taiwan is home to more than 500 NVIDIA ecosystem partners. More than 1 million NVIDIA MGX rack components for NVIDIA Vera Rubin infrastructure come together in Taiwan, from across 25 factory sites.
How Cosmos 3 Helps Physical AI Think Before It Acts
Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action
Personal agents are exploding in popularity, with open source projects like OpenClaw and Hermes seeing rapid adoption by AI developer communities on GitHub.
arXiv:2605.30512v1 Announce Type: new Abstract: Generating physics diagrams from text requires strict adherence to physical laws.
arXiv:2605.30542v1 Announce Type: new Abstract: World models for embodied AI must be physically viable: constructed to answer intervention queries by representing the physical structure governing action outcomes, rather than merely predicting future observations.
arXiv:2605.30563v1 Announce Type: new Abstract: Factored tasks are a classical planning representation that extends SAS+ with limited forms of disjunctive preconditions, conditional effects, and angelic nondeterminism.
arXiv:2605.30570v1 Announce Type: new Abstract: We investigate the application of MAPElites a wellknown quality diversity algorithm to design levels for FirstPerson Shooter FPS games.
arXiv:2605.30576v1 Announce Type: new Abstract: Exploration in reinforcement learning for autonomous driving is inherently unsafe: agents must experience novel behaviors to learn, yet exploration can lead to collisions or offroad driving.
arXiv:2605.30621v1 Announce Type: new Abstract: LLM agents are increasingly deployed as systems built around editable external harnesses, including prompts, skills, memories and tools, that shape task execution without changing model parameters.
arXiv:2605.30637v1 Announce Type: new Abstract: Clinical decisionmaking CDM is central to realworld clinical workflows, where clinicians infer diagnoses, select treatments, or anticipate future health outcomes under incomplete evidence.