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Any sufficiently advanced technology is indistinguishable from magic. In recent years with machine learning taking over new industries and applications, where the number of users far outnumber experts ...

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

Evan Hackstadt is a computer science major with minors in biology and math. He is a 2025-26 health care ethics intern at the Markkula Center for Applied Ethics at Santa Clara University. Views are his ...

Researchers at KAUST have proposed a 'super transformer' AI model designed to integrate diverse biological data types into a single framework. Published in Nature Methods, the architecture aims to ...

The field of robotics is undergoing a profound transformation driven by rapid advances in artificial intelligence, particularly large language models and ...