By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Abstract: Wearable sensors are essential for tracking human activity, but analyzing their data requires robust classification methods. This study evaluates traditional machine learning models (Random ...
The detection capability identifies AI-generated images and AI-edited real images, by capturing generation artifacts and semantic inconsistencies invisible to the human eye. Designed for ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.
Abstract: The combination of machine learning with cloud-native technology has become more essential in contemporary healthcare systems. AWS Lambda, a serverless computing service, offers a scalable ...
This repository contains the reference implementation for FiNDR (Fine-grained Name Discovery via Reasoning), a fully automated framework for vocabulary-free fine-grained image recognition using ...
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