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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsA key objective of several neuroscience ... these capabilities with a multisection neural network architecture and training approach." The researchers trained their RNN-based model using a four-step ...
One of the primary challenges in wind energy development is optimizing the spatial layout of wind turbines within a given site. Poor turbine placement can lead to reduced energy capture due to wake ...
In this paper, we pose the goal programming problem as a multi-objective optimization problem of minimizing deviations from individual goals and then suggest an evolutionary optimization algorithm to ...
Artificial intelligence Meta’s new learning algorithm can teach AI to multi-task The single technique for teaching neural networks multiple skills is a step towards general-purpose AI.
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AZoBuild on MSNAI Model Identifies Greener Cement Mixes Without Compromising StrengthInnovative AI techniques in cement formulation lead to eco-friendly mixes, significantly cutting emissions and improving efficiency in construction materials.
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