Abstract: We proposes a new normalization method, Sparse Group Normalization (SG-Norm), which aims to address the computational efficiency bottleneck faced by deep neural networks when processing ...
Abstract: Discrete decision-making problems, such as combinatorial optimization tasks frequently encountered in network science and industrial IoT systems, are pervasive in real-world applications.
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AI forecasting tools are changing the way traders approach indices
Nigeria’s market community is moving beyond basic chart patterns. Affordable computing and better data feeds are putting machine learning signals on the phones of traders in Lagos, Abuja, and Port ...
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