Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...

NASHVILLE, Tenn. (WKRN) — On a 12-acre site off Brick Church Pike, construction crews have begun clearing land for RadiusDC’s new data center. Developers of the 12-megawatt facility said it will bring ...

CAMDEN, S.C. (WIS) - A planned data center in Kershaw County is causing some concern. This comes after the planning and zoning commission approved a rezoning request at a Sept. 8 meeting. Now, county ...

The Financial Crimes Enforcement Network (FinCEN) has quietly released its latest update on marijuana-related business (MRB) banking metrics, covering activity through December 2024. The update is ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

“It works!” I’ve heard this comment at least a thousand times, as it refers to some nutritional supplement, food or exercise program. My background in exercise/nutrition research has made me skeptical ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

The controversial project attracted protesters, and some were kicked out of the meeting. City leaders approved a building permit for the AI center and blocked Fargo's move to annex the site. Applied ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...