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 ...

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...

In this special guest feature, Prabhod Sunkara, Co-founder and COO of nRoad, Inc., discusses how enterprises are increasingly relying on unstructured data for analytic, regulatory, and corporate ...

Clinical-grade, expert-supported natural language processing (NLP) is valuable to payers and providers when exchanging patient information through continuity-of-care documents. One of the most ...

While advances in artificial intelligence have been slow to reach commercial P&C insurance, new trends in data augmentation could help pick up the pace, according to experts on a recent Insurtech ...

Medical care is estimated to account for only 10-20% of healthcare outcomes. As a result, healthcare executives who wish to deliver high-quality care have to consider other elements that impact ...

Natural language processing has enormous potential for organizations to use text and spoken data in applications, but few companies take full advantage of it. How can companies improve their NLP ...