Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
There are points in time at which a well-known technology, which has been used and gradually improved for decades, reaches its physical limitations, forcing a shift towards dramatically different ...
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