Abstract: This letter proposes a hybrid grey wolf optimization-artificial neural network (GWO-ANN) method for designing filtering patch antennas with high out-of-band suppression and in-band gain ...
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Mastering robotics competitions from code to motion
From student-built machines to advanced research prototypes, robotics competitions demand a blend of smart algorithms, precise motion control, and efficient design. Teams integrate proven path ...
Abstract: Many real-world problems involve optimizing numerous decision variables and are expensive to evaluate, known as large-scale expensive optimization problems (LSEOPs). While surrogate-assisted ...
6d
Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it
Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
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