The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

Collaboration between materials scientists and data scientists helps identify patterns in growing thin films. (Nanowerk News) From cell phones to solar panels to quantum computers, thin films are ...

From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, ...

In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones ...

Self-learning and self-improving technology will transform enterprise activities. From augmented leadership to machines as customers, analyst Gartner identifies key trends. While true autonomous ...

The rapid rise of electric vehicles combined with breakthroughs in autonomous driving technology is reshaping the future of transportation toward greater sustainability. Intelligent electric vehicles, ...

Researchers at Alibaba’s Tongyi Lab have developed a new framework for self-evolving agents that create their own training data by exploring their application environments. The framework, AgentEvolver ...

Incorporating AI agents as autonomous learning assistants in training programs boosts user engagement and information retention with the right approach. Building trust in AI technology with ...