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ITP-STDP slashes energy consumption and hardware footprint in spiking neural networks, achieving up to 219.8x efficiency gains.
Achieve SOTA zero-shot anomaly detection by dynamically routing image patches based on structural entropy, adapting to heterogeneous anomaly patterns without target-domain fine-tuning.
Stop MLLM hallucinations in VideoQA: ClueNet's two-stage training and adaptive clue filtering boosts accuracy by 1.1% while improving interpretability and efficiency.
AgentOS reimagines LLMs as reasoning kernels within a structured OS, offering a blueprint for more robust and scalable AI agents.
