The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

Interview Kickstart Releases In-Depth Career Transitions Guide on Moving from Data Scientist to Machine Learning Engineer as ...

Design of Experiments (DOE) is a powerful and pragmatic tool for optimisation but it’s not the only way. Could there be even more powerful alternatives in the age of machine learning, AI and ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.

Discover key insights from Vaibhav Jain on making AI systems reliable in production. Learn best practices for managing AI ...

AI dramatically expands the chemical universe scientists can explore. This is particularly important in antibiotic discovery, ...

A new systematic review finds that human involvement is not a temporary constraint but a structural necessity for ensuring reliability, accountability, and ethical alignment in modern AI systems.