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

Vampirella #10 releases February 4th, confronting deep questions of existence, identity, and agency. The issue features an AI ...

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 ...

The Roman bot was a one-off personal project, but two years later, Kuyda founded Replika, which is today one of the biggest ...

Technologies like ARM’s Ethos Neural Processing Units (NPUs) offer more power-efficient AI acceleration than general-purpose CPUs. While they add design complexity, they reduce long-term costs by ...

A team of astronomers based at the European Space Agency demonstrated how artificial intelligence technology will alter ...

Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...