While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

1. Sentiment Trackers: AI tracks price direction, momentum shifts, and volume flow to show whether a stock is gaining ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...

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: In the domain of game artificial intelligence, tutorial systems have seen limited advancement despite their critical role in onboarding players. Traditional tutorials often neglect ...

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, ...

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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) ...