Amass
PulseAugur coverage of Amass — every cluster mentioning Amass across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Developer builds AI layer for OWASP ZAP security scanner
A developer has created VulneraMCP, an open-source AI layer designed to enhance the OWASP ZAP security scanner. This tool allows AI agents, such as ChatGPT or Claude Desktop, to drive ZAP's scanning capabilities, includ…
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Humanoid robot 'cerebellum' gets GPT-style model with 2B frames of motion data
Researchers have introduced AstraBrain-WBC 0.5, a novel GPT-style foundational model designed for humanoid robot general cerebellum control. This model leverages a massive dataset of 2 billion frames of human motion dat…
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MotionMAR framework reconstructs human motion from sparse data
Researchers have introduced MotionMAR, a novel framework designed for reconstructing human motion from sparse observational data. This system employs a coarse-to-fine approach, first predicting the overall trajectory an…
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Humanoid robot 'cerebellum' model trained on 20B frames, enters GPT era · 1 source tracked
Galaxy General Robotics has released AstraBrain-WBC 0.5, a foundational model for the real-time whole-body control of humanoid robots. This model utilizes a Transformer architecture, similar to GPT, and is trained on ap…
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LIMMT framework uses high-quality data for superior motion tracking
Researchers have developed LIMMT, a new framework for motion tracking that emphasizes data quality over quantity. By focusing on physics feasibility, diversity, and complexity, LIMMT demonstrates that even a small subse…
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New generative framework learns stochastic dynamics with soft law constraints
Researchers have developed a new generative framework for learning stochastic dynamics, particularly useful for tasks involving distributional observations. This method frames generation as a McKean-Vlasov control probl…
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ETCH-X and OmniFit advance 3D clothed human body fitting with new methods
Researchers have developed ETCH-X, an advanced method for fitting parametric body models to 3D scans of clothed humans. This new approach improves upon its predecessor by incorporating a "tightness-aware" fitting paradi…