IEEE

A Feature-Extraction-and-Classification-Integrated Framework for Transformer Fault Diagnosis Using Restricted Boltzmann Machine and Support Vector Machine

Abstract: Accurate power transformer fault diagnosis is crucial for power system reliability, but traditional gas ratio rule- and expert experience-based methods suffer from strong subjectivity and ...

Ancestry has spent decades digitizing family records. AI is helping speed it up.

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...
IEEE

UAV Small Object Detection Algorithm Based on Dynamic Feature Aggregation and Hierarchical Attention Mechanism

Abstract: Uncrewed Aerial Vehicle (UAV)-based small object detection is crucial for traffic monitoring, precision agriculture, and power system inspection. However, UAV images face challenges ...
JD Supra

Gradient Descent Into Chaos – Hallucinations and Inadvertent Waiver Arising From the Use of AI

Regardless of the cognitive and environmental concerns arising from humanity’s increasing use of AI which resulted recently in Pope Leo XIV ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

How to automate expense management with AI

Ramp reports that AI expense management automates receipt processing, categorization, and policy enforcement, saving time, ...