Abstract: Drawing insights from Large Language Models, researchers have developed several Large Electroencephalogram (EEG) models (LEMs) to learn a generalized representation adaptable to various ...

The U.S. Army Combat Readiness Center is proud to announce a significant leap forward in safety education for the force. A new, integrated safety ...

For years, data sovereignty has been treated primarily as a compliance checkbox. That era is over. As AI becomes the primary ...

The generative AI models used in classified environments can answer questions but don't currently learn from the data they see. That could soon change. The Pentagon is discussing plans to set up ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Abstract: Due to the difficulty of obtaining labeled data for hyperspectral images (HSIs), cross-scene classification has emerged as a widely adopted approach in the remote sensing community. It ...

Training or fine-tuning Large Language Models (LLMs) involves dealing with incredibly large models and datasets. These models can have billions of parameters and require vast amounts of GPU memory to ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

Many academic institutions apply their data classification schemas in service of a range of institutional functions. At UW–Madison, for example, we use data classification in the following ways: With ...