Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

Years ago, before the rise of the gig economy, people developed their careers over time, often more slowly than desired. Folks who became DBAs, Data Modelers, or Data Architects had a rule-following ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

1 College of Traditional Chinese Medicine, Shanghai University of Traditional Chinese medicine, Shanghai, China 2 Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

My name is Bill Burkett, and I am a data modeler. I don’t call myself that often and sometimes have misgivings about doing so. I often get the feeling that being a “data modeler,” when considered in ...

Abstract: Imputation of missing data has long been an important topic and an essential application for intelligent transportation systems (ITS) in the real world. As a state-of-the-art generative ...

Background: Observational health data are collected in different formats and structures, making it challenging to analyze with common tools. The Observational Medical Outcome Partnership (OMOP) Common ...