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, ...

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 ...

In planning, machine learning synthesizes real-time market trends and external factors to drive forecast accuracy ...

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: ...

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

AI isn’t just a buzzword anymore, it’s the invisible hand reshaping industries at a speed that would have been science fiction a decade ago ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

This article breaks down four problems that marketers face right now and how AI is already solving them. The difference today ...

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