As companies rush to adopt new AI solutions, business leaders must understand the different types and how AI compares to ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

Illinois engineers fused ultrafast imaging with smart algorithms to peek at living brain chemistry, turning routine MRIs into ...

A range of generative machine learning models for the design of novel molecules and materials have been proposed in recent years. Models that can generate three-dimensional structures are particularly ...

The traditional performance evaluation of metal materials depends on trial and error, which is expensive and time-consuming. Machine learning algorithm, especially deep learning, has brought ...

In this paper, we analyze the structural transformations introduced by LL and introduce a potential attack, called SAIL, that can exploit structural artifacts introduced by LL. SAIL uses machine ...