Abstract: The effectiveness of model-driven trajectory generation and control methods for an automated vehicle is closely related to the accuracy of vehicle kinematics and dynamics. However, the ...
The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...
The hierarchical flow for clock domain crossing (CDC) and reset domain crossing (RDC) is a methodology used in the verification of large, complex digital integrated circuits. It’s a divide-and-conquer ...
Abstract: This paper proposes a multi-objective automatic generation control (AGC) method that integrates data and model driven approaches in a hierarchical framework to handle parameter disturbances ...
The central vein (CV) region, driven by the Wnt signaling pathway, and the portal vein (PV) region, driven by the Notch signaling pathway, enable us to construct a biomimetic liver lobule ...
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...
Nearly a 100% logic replication of the original reasoning system, with a clearer framework design. Full support for LLM calls in OpenAI format. Leveraging the interfaces provided by chromadb, a ...
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