Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop hosted at Princeton University. This workshop will focus on topics including big data analytics and ...
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 ...
The poster highlights an NSF award shared by Nelson and Casey Kennington, Boise State University Foundation Board Endowed Professor of Computer Science, and showcases their progress in expanding ...
The National Academies will hold a workshop on the opportunities and challenges, including the ethical development and use, of using machine learning and artificial intelligence (ML/AI) to advance ...
From Thursday, 30 October to Tuesday, 4 November 2025, the PhoenixD Cluster of Excellence at Leibniz University Hannover and Heidelberg University will jointly host the 1 st workshop on Photonic ...
Identify common features of best-in-class AI/ML methods for science Characterize approaches for rigorous investigation into complex systems and associated science problems Explore engineered systems ...
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
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