Joint Precision Neural Networks: Task-Aware Dependency and Predictive Learning
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New papers, breakthroughs and academic AI research
GAMBIT: Learning to Plan Continuous Multi-Robot Trajectories
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Odyssey: A Closed-Loop Benchmark for Long-Horizon Real-World Driving with Explicit Navigation Routes
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Symmetry and AI-assisted discovery of magic-state factories
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Reachability-Aware Diffusion Policy Optimization
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Rethinking Streaming-Perception Evaluation on Heterogeneous Edge Platforms
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Low-Resource Safety Failures Are Action Failures, Not Representation Failures
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Loss-Invariant Projections as Passive Probes of Learned Representations
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SMADE-IE: Sparse Multi-Agent Framework with Evidence-Driven Debate for Zero-Shot Information Extraction
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ElasticMem: Latent Memory as a Learnable Resource for LLM Agents
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Bayesian Data Augmentation for DNN Retraining with Binomial Outcomes in Vision-Based UAV Landing
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Ultrasound Operator Guidance Using World Modeling and Retrieval Based Action Planning
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