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Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...
Semiconductor Engineering3d
Machine Learning Tools Help Bridge Design-To-Manufacturing Gap
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
IEEE5d
Federated Learning in STAR-RIS Aided SAGINs - IEEE Xplore
Recently, federated learning has been envisioned as a pioneering distributed machine learning (ML) approach for managing the multi-objective optimization problem in STAR-RIS-aided SAGINs. This ...
IEEE6d
Secure and Private Over-the-Air Federated Learning: Biased and Unbiased ...
Over-the-air federated learning (OTA-FL) presents a promising distributed machine learning paradigm that improves the efficiency of local update aggregation by leveraging the superposition property of ...