Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

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 influencing a child's development and long-term outcomes, yet most ...

A smartwatch used a machine learning algorithm to detect social interactions through sounds in the environment. This ...

“Our responses to it [AI] though, can be revealing,” says Crosby. “It prompts us to consider what we truly value in humour be it spontaneity, vulnerability, or the sense that someone gets us. In that ...

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

Educational platform announces expanded course programme addressing critical thinking, responsible use, and AI ...

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...

Scientists have long believed that foam behaves like glass, with bubbles locked into place. New simulations reveal that ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs without relapses, a study says.

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 ...

Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...