There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...

AI's educational impact depends on leaders using it purposefully to solve specific problems like teacher workload and personalized learning, not as another disconnected initiative.

Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

For more than 20 years — and after working with more than 10,000 participants who attended my Kaizen workshops — I’ve refined a simple yet powerful tool that makes problem-solving useful for everyone.

Even as quantum navigation emerges as a legitimate alternative to satellite-based navigation, the satellites themselves are ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.