Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

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 ...

Mathematics education must move beyond marks and memorisation, focusing instead on reasoning, problem-solving, and creative ...

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

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

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

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.

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

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Discover how AI networking expert Sujay Kanungo builds self-healing, cloud-native Internet systems that predict faults, cut ...