Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

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

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...

Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...

Social data refers to publicly shared information on social media platforms. Discover how it's used for marketing, its advantages, and the risks associated with data breaches.

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Tempe, Arizona - January 15, 2026 - PRESSADVANTAGE - Tonys Picks, a California company, announced today the integration ...

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

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

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

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