When models are trained on unverified AI slop, results drift from reality fast. Here's how to stop the spread, according to Gartner.
Abstract: With the explosive growth of data in the financial industry, efficient collection, analysis, and utilization of this data have become urgent challenges. This study aims to develop a ...
Abstract: Interoperability among diverse data standards is crucial for advancing digital technologies in smart manufacturing and transportation. This paper studies and presents a hybrid AI framework ...
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