Advancing Physical AI
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Nvidia Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks. NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning, world generation, and action generation within a single open model.
SK Hynix announces multi-year tech deal with Nvidia for AI factories
SK Hynix announces multi-year tech deal with Nvidia for AI factories SEOUL, June 8 : SK Hynix on Monday announced a multi-year technology partnership with Nvidia, saying the deal would advance next-generation memory for global AI data centres. The South Korean memory chipmaker said it would enter new AI fields via the partnership, such as personal AI and physical AI, and that the deal would help maintain a stable supply of memory despite advanced memory's long development cycles.
Nvidia partners with LG robotics to build humanoid robots in South Korea
NVIDIA and LG Group are building an AI factory to accelerate LG Group’s next wave of AI-driven businesses, spanning robotics, autonomous driving, data center technologies and GPU cloud services. The AI factory will provide LG Group with accelerated computing infrastructure to train, simulate, validate and deploy AI-based applications across its key businesses. The collaboration brings together NVIDIA’s full-stack, end-to-end AI factory platform with LG Group’s global leadership in consumer...
Nvidia CEO says robotics is South Korea's next big sector, points to 'some suprises'
Nvidia CEO says robotics is South Korea's next big sector, points to 'some suprises' SEOUL: Nvidia CEO Jensen Huang on Friday (Jun 5) said robotics will be South Korea's next major sector, as he arrived for his second visit in seven months, underscoring deepening ties with local firms in not only chips but also robotics and AI factories. "Because Korea is a manufacturing centre of the world, we can apply the robotics technology, the physical AI technology that we invent here for the...
Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
arXiv:2606.02178v1 Announce Type: new Abstract: Recent advancements in generative AI have led to image editing models capable of producing realistic forgeries that evade traditional image forgery localization methods, as these approaches depend on physical noise absent in synthetic data. To address this challenge, we theoretically demonstrate that the diffusion process inherently suppresses local high-frequency variance, creating a statistical energy gap that is distinguishable from the...
Optimizing Energy-based Neural Network Training with Coherent Ising Machine
Announce Type: new Abstract: While Ising machines serve as advanced physical solvers for the Ising model,enabling applications in combinatorial optimization and neural network training,their scalability for large-scale neural networks remains constrained by hardware connectivity limitations and suboptimal training methodologies. In this work,we leverage a Coherent Ising Machine (CIM) to train an energy-based neural network using Equilibrium Propagation, achieving performance comparable to...
FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs
arXiv:2512.20732v2 Announce Type: replace Abstract: As LLMs advance their reasoning capabilities about the physical world, the absence of rigorous benchmarks for evaluating their ability to generate scientifically valid physical models has become a critical gap. Computational mechanics, which develops and applies mathematical models and numerical methods to predict the behavior of physical systems under forces, deformation, and constraints, provides an ideal foundation for structured...
ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments
Announce Type: replace Abstract: Artificial Intelligence (AI)-powered Radio Access Network (RAN) networks have attracted significant attention from both industry and academia. Meanwhile, Digital Twins offer a safe playground for experimenting with AI/Machine Learning (ML)-based solutions for advanced AI-RAN research.
GPU Fingerprinting for Location Verification
arXiv:2605.01930v2 Announce Type: replace Abstract: Robust governance of GPU chips is important for mitigating risks from unauthorized development of advanced AI models. Current methods for monitoring chip location rely on ping-based protocols backed by cryptographic keys stored on-chip. However, these keys can potentially be extracted by adversaries with physical access, compromising the location verification protocol.
From barbecue diplomacy to AI deals: Five takeaways from Nvidia CEO Jensen Huang’s Asia tour
From barbecue diplomacy to AI deals: Five takeaways from Nvidia CEO Jensen Huang’s Asia tour Even as fans trailed him through Taipei and Seoul, Jensen Huang's visit revealed something more consequential - a glimpse into Nvidia's plans to stay on top of the global AI economy. SINGAPORE: For three weeks, Jensen Huang has been hard to miss. From late-night Korean barbecue dinners to baseball pitches and packed keynote halls, the Nvidia CEO’s swing through China, Taiwan and South Korea drew...