Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

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This project investigates the approximation capabilities of Rectified Linear Unit (ReLU) neural networks and compares their performance with classical numerical methods, specifically Finite Element ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now It is tough to remove bias, and in some ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

The Transformer architecture revolutionised natural language processing with its self-attention mechanism, enabling parallel computation and effective context retrieval. However, Transformers face ...

Abstract: Existing linearized section location methods for distribution networks are only applicable to single faults. In response, this paper proposes a linear integer programming method for section ...

Two Microsoft researchers have devised a new, optimization-free jailbreak method that can effectively bypass the safety mechanisms of most AI systems. Called Context Compliance Attack (CCA), the ...