Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

We are witnessing a fundamental shift in how successful systems are designed, and agentic AI sits at the heart of this revolution.

Indian American researcher receives funding and mentorship to push the boundaries of electronic design automation ...

Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto ...

Biomedical engineers at Duke University have developed a platform that combines automated wet lab techniques with artificial ...

More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...

The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space, which was recently published by Springer Nature, provides a roadmap for tackling some of the most urgent ...

New research shows that understanding users' intentions—rather than simply increasing data volume—can improve the suggestions generated by YouTube's "black box" algorithms.

UK-based startup Scindo combines AI models with proprietary data to accelerate enzyme discovery and optimization.

The artificial intelligence community celebrated a remarkable milestone in 2025 when both Google DeepMind and OpenAI systems ...

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...

Trusted by schools, colleges, and multi-campus universities, EDU’s modular and scalable design adapts to diverse ...