Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
In a recent study published in the Proceedings of the National Academy of Sciences, researchers from the United States of America developed and validated "TimeMachine," an algorithm that predicts the ...
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