Abstract: Although some studies in recent years have focused on the coexistence of service and task dependencies in the collaborative optimization of service caching and task offloading in Vehicle ...
IBM Bob multi-agent AI platform gains Bobalytics cost analytics and isolated subagents on July 9, one day after Microsoft ...
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 ...
Graph of Skills builds a skill graph offline from a library of SKILL.md documents, then retrieves a small, ranked set of relevant skills at task time. Instead of flooding the agent context with an ...
Credit: VentureBeat made with Google Gemini 3 Image / Nano Banana Pro One of the biggest constraints currently facing AI builders who want to deploy agents in service of their individual or enterprise ...
Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...
Over the past few years, graph neural networks and graph transformers have been successfully used to analyze graph-structured data, mainly focusing on node classification and link prediction tasks.
Network modeling is a powerful alternative in computational biology for deciphering valuable and novel insights into complex molecular interactions and functions of biological systems (Guzzi and Roy, ...
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