Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

Earlier on the same day Musk said the algorithm sucked, X head of product Nikita Bier seemed to indicate that he was proud of ...

Researchers develop a lightweight algorithm designed to reorganise network connections to enable secure, low-latency data ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Social media algorithms change constantly, making it hard to maintain consistent reach and engagement. This article breaks down practical strategies from ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

This study presents an enhanced RRT* algorithm for deep-sea mining vehicles, improving path planning and obstacle avoidance in complex underwater environments.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting state-of-the-art local solvers for k-quasi-clique and k-plex without altering their search ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...