Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models - WSJ

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DeepECG-Net: a hybrid transformer-based deep learning model for real-time ECG anomaly detection - Nature

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ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

arXiv:2604.04664v1 Announce Type: cross Abstract: The integration of large language models (LLMs) with embodied agents has improved high-level reasoning capabilities; however, a critical gap remains between semantic understanding and physical execution. While vision-language-action (VLA) and vision-language-navigation (VLN) systems enable robots to perform manipulation and navigation tasks from natural language instructions, they still struggle with long-horizon sequential and temporally structured tasks. Existing frameworks typically adopt modular pipelines for data collection, skill training, and policy deployment, resulting in high costs in experimental validation and policy optimization. To address these limitations, we propose ROSClaw, an agent framework for heterogeneous robots that

arXiv cs.MA

2mabout 3 hours ago

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ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

arXiv:2604.04664v1 Announce Type: cross Abstract: The integration of large language models (LLMs) with embodied agents has improved high-level reasoning capabilities; however, a critical gap remains between semantic understanding and physical execution. While vision-language-action (VLA) and vision-language-navigation (VLN) systems enable robots to perform manipulation and navigation tasks from natural language instructions, they still struggle with long-horizon sequential and temporally structured tasks. Existing frameworks typically adopt modular pipelines for data collection, skill training, and policy deployment, resulting in high costs in experimental validation and policy optimization. To address these limitations, we propose ROSClaw, an agent framework for heterogeneous robots that

arXiv cs.MA

2mabout 3 hours ago

Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models - WSJ

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DeepECG-Net: a hybrid transformer-based deep learning model for real-time ECG anomaly detection - Nature

A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction - Nature

ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

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More in Models

A new transformer architecture emulates imagination and higher-level human mental states - Tech Xplore

DeepECG-Net: a hybrid transformer-based deep learning model for real-time ECG anomaly detection - Nature

A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction - Nature

ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration