Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from aircraft fuselages to bridge supports—perform reliably under demanding conditions ...

Guest blog by Anthony Collins, Technical Director Data and Digital Competency Centre; Nathaniel Henman, Data Scientist; John ...

Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

AI poses new risks to trade secrets through data leaks, reverse-engineering, and challenges to protections. Solutions include ...

For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...

Build production-grade machine learning solutions using Databricks, MLflow, AWS and modern MLOps practices. Own the complete machine learning lifecycle , from scalable data processing and model ...

Georgia Tech’s Learn to Teach framework trains AI models concurrently, helping a humanoid robot navigate sand, gravel, slopes ...

From precision medicine to personalized job training, customizing interventions for individuals is often assumed to produce ...

A practical guide to electronic lab notebook research tools, covering key features, data structure, and migration steps.