OGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies
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New papers, breakthroughs and academic AI research
TurboPairFormer: Fast and Stable Protein Folding Model Training with an Optimized Triangle Attention Kernel
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EpicWorldModel: Exploration-driven Planning with Latent World Models
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Do VLAs Understand and Adapt to the Objects They Handle, or Simply Replay Learned Behaviors?
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Feature identification for parameter extraction and defect detection using machine learning
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ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning
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Runaway Reaction: When Benign Skills Compose into Malicious Behavior
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AgentSpy: Making AI Agent Behavior Observable
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Non-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning
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RepICL: Reusable In-Context Prediction Across Heterogeneous Representation Spaces
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Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow
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Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers
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