By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
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.
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 ...
Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...
BOULDER, CO, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Every Learner Everywhere today released Student Research Into How Students and Faculty Use AI: Insights for Teaching and Learning, a ...
Abstract: Personal identification using gait sound has emerged as an intriguing and promising alternative to traditional authentication methods such as facial recognition and fingerprint scanning.
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
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