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 ...

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 ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

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 ...