Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
For decades, artificial intelligence has operated within deterministic frameworks. Even when randomness is simulated, most AI systems depend on pseudo-random algorithms - sequences that appear random ...
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