Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...

Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

An example of visual data augmentation techniques used in machine learning, which captures the main principle of variability effects: exposure to variation along non-discriminative dimensions (i.e., ...

The Data Reduction for Science program seeks applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more ...

Sept. 2, 2021 — Today, the U.S. Department of Energy (DOE) announced $13.7 million in funding for nine research projects that will advance the state of the art in computer science and applied ...

April 15 — The U.S. Department of Energy (DOE) announced $10 million for foundational research to address the challenges of managing and processing the increasingly massive data sets produced by today ...

A slew of innovations in data management tooling, data infrastructure and artificial intelligence dotted the landscape at AWS re:Invent 2024. Siemens Digital Industries Software, in particular, has ...

Medicare is sporadically compromised by fraudulent insurance claims. These illicit activities often go undetected, allowing full-time criminals and unscrupulous health providers to exploit weaknesses ...