Researchers have developed a machine-learning workflow for processing complex 2D X-ray total scattering data from thin film ...

Named Aeneas (after the mythical hero of Rome’s foundation epic), the system is a generative neural network designed to ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

This focus on bias-aware ML pipelines translates directly into interview readiness. FAANG interviews often include questions on fairness and ML system design, candidates can expect to be grilled on ...

X-hacking’ is the term used by DFKI researchers to describe a risk in the field of explainable artificial intelligence (XAI) that has received little attention to date. At this year's International ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...