Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

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

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

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 ...

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In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

This biology-based approach is one of the things that makes Path-IO unique. Rather than functioning as a "black box" AI that ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...