Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, ...

Marketers are leaning on AI to meet rising demands, but while productivity climbs, consumer trust is sinking — and that gap could be marketing’s biggest risk. The post Marketers turn to AI for speed, ...

Abstract: For expensive constrained optimization problems (ECOPs), the evaluation of the objective and constraints are both expensive. Due to the low computational cost of the surrogate model and the ...

Despite the global acceleration in digital transformations across organizations in various sectors, many banks and bigger ...

SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...

近日，青岛科技大学信息科学技术学院巩敦卫教授与中国矿业大学左明成副教授和张勇教授、澳门城市大学郭永德副教授等合作，在约束多目标优化问题智能求解方向取得研究进展，相关成果以“Constrained Multi-objective ...

Abstract: The presence of constraints often leads to the formation of narrow and fragmented feasible regions within the search region, presenting significant challenges for optimization ...

An AI-driven torque allocation system for EVs on rough terrain using IMU data, deep learning, and real-time motor control via Raspberry Pi with Gazebo simulation and Flask-based dashboard.

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