Neural network optimisation has emerged as a transformative approach in microwave engineering, driving enhancements in both the accuracy and speed of electromagnetic (EM) simulations and circuit ...
Recent advancements in neural network optimisation have significantly improved the efficiency and reliability of these models in handling complex tasks ranging from pattern recognition to multi-class ...
The research also opens doors for broader applications of multi-objective optimization in renewable process engineering, from ...
This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting ...
This technical paper titled “DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks” is co-authored from researchers at The University of Texas at Austin, Intel, ...
Dongfeng Motor Corporation applied for a patent titled “ Method, Device, and Computer Program Product for Optimizing Calibration Parameters of Hybrid Vehicles ” in June 2025. The patent publication ...
Sony and AMD confirm new technology that could be used in the next-gen PS6, including new high-performance & high-efficiency ...
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