The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Drew Swanson is a Features Article Editor from the Pacific Northwest of the United States. He is a lifelong gamer with a passion for a variety of genres. A connoisseur of everything from JRPGs and ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Just how powerful will the Steam Machine be? Based on expert analysis of the specs revealed by Valve when it announced the Steam Machine on Wednesday, its new compact, console-like gaming PC is aimed ...

Valve has announced a return to its Steam Machine PC / console hybrid hardware alongside a new version of the Steam Controller. As part of a big day for Valve hardware announcements, Valve confirmed ...

Abstract: When data privacy is imposed as a necessity, Federated learning (FL) emerges as a relevant artificial intelligence field for developing machine learning (ML) models in a distributed and ...