Very Large Array
PulseAugur coverage of Very Large Array — every cluster mentioning Very Large Array across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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Chinese University team's MindVLA-U1 integrates language into driving decisions
Researchers from the Chinese University of Hong Kong, Li Hongsheng's team, have developed MindVLA-U1, a unified architecture for autonomous driving that integrates visual, language, and action (VLA) components. This new…
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Ant Group scientist: Robotics needs unique physical world AI models
Ant Group's Lingbo Technology Chief Scientist Shen Yujun believes that current large models, which leverage decades of internet data, are insufficient for the physical world of robotics. He proposes AIGA (AI Generated A…
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Embodied AI redefines computer vision's role at CVPR 2026
Embodied AI is shifting the focus of computer vision research, moving from understanding static images to enabling intelligent agents to interact with and manipulate the real world. This paradigm shift, evident at CVPR …
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NVIDIA's Jim Fan: VLA and remote operation dead, World Action Models rise
NVIDIA's Jim Fan declared the end of Visual-Language-Action (VLA) models and remote operation in robotics, advocating for World Action Models (WAM) as the new paradigm. Fan proposed that WAMs, inspired by Large Language…
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Airbnb revenue up 18% to $2.7B, while XPeng's AI driving usage surges
Airbnb reported a 18% year-over-year increase in first-quarter revenue, reaching $2.7 billion. The company also achieved a net profit of $160 million and adjusted EBITDA of $519 million, a 24% increase. Separately, Xpen…
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Xpeng's second-gen VLA system achieves over 50% autonomous driving mileage
XPeng's second-generation VLA system has achieved over 50% of its intelligent driving mileage within a month of its rollout. During the May Day holiday, the AI-assisted driving system saw a daily usage rate of 93.21%, a…
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VLA emerges as top solution for embodied AI, despite sensory limitations
Visual-Language-Action (VLA) models are currently the leading architecture for embodied AI due to their strong task generalization capabilities. However, VLA has limitations, particularly in tactile and proprioceptive s…
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AI² Robotics launches NeuroVLA model and open-source AlphaBrain platform
AI² Robotics founder Guo Yandong has introduced the NeuroVLA model, which he described as a brain-inspired architecture. He also launched the AlphaBrain Platform, an open-source toolkit designed to support plug-and-play…
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FASTER model slashes VLA reaction latency for real-time robotics
Researchers have developed a new method called FASTER to improve the real-time responsiveness of Vision-Language-Action (VLA) models. Existing methods often delay action until all sampling steps are complete, creating a…
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XPeng GX debuts with advanced VLA driving tech, boosting Ultra model orders
XPeng unveiled its new GX model and the second-generation VLA intelligent driving system at the Beijing Auto Show. The company reported a significant increase in orders for its Ultra models, with a 118% month-over-month…
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New VLA models LaST-R1 and DIAL enhance robotic manipulation with advanced reasoning
Two new research papers introduce advanced Vision-Language-Action (VLA) models for robotic manipulation. LaST-R1 integrates latent Chain-of-Thought reasoning with reinforcement learning to improve adaptability and gener…
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SimOne 4.0 simulation platform integrates with NVIDIA, aiding AI in physical world
Wuyiyishijie has released the preliminary version of its SimOne 4.0 simulation platform, built on world models and VLA technology. This upgrade covers data, training, inference, validation, and delivery, aiming to enhan…
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AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation
Researchers have developed AsyncShield, a new framework designed to improve the navigation capabilities of Vision-Language-Action (VLA) models on mobile robots. This system addresses the latency and network jitter issue…
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GM trains scalable driving AI using simulation and VLA models for rare scenarios
General Motors is developing advanced AI systems to tackle the complex challenges of autonomous driving, particularly focusing on rare and unpredictable "long-tail" scenarios. They are employing a combination of large-s…
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NVIDIA's Jim Fan: VLA, Teleoperation Obsolete by 2026 in Robotics
NVIDIA's Jim Fan predicts a major shift in robotics, declaring VLA architectures and teleoperation obsolete by 2026. He advocates for a new era driven by physics-simulating world action models and autonomous data collec…