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 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 ...

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 ...

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 ...

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 ...

Eleven NTT Papers Selected for NeurIPS 2022 Accepted Papers by NTT Laboratories and NTT Research to Showcase Artificial Intelligence (AI) and Machine Learning (ML) Research Breakthroughs at ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

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 ...