Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

(THE CONVERSATION) Chinese tech giant ByteDance has signed an agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. President Donald Trump announced a ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

We’ve all been there, protecting our ears. The school play in the gym or community hall, where sound is distorted due to glitches in equipment.   “And listening to live performances on the internet ...

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, ...

Deep learning technology has been widely applied to multi-source data and imaging in the past decade. It aims to handle multi-modality data from different sources including images, text, audio and ...

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...