In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

What happens when AI becomes part of how we learn? On campus, students and faculty are exploring new approaches — and a new ...

This study represents a useful finding on the social modulation of the complex repertoire of vocalizations made across a variety of strains of lab mice. The evidence supporting the claims is, at ...

Researchers at Georgia Tech are using math, science, and artificial intelligence to better understand how people think, move, ...

A recent event hosted by the M.S. in Human Capital Management (HCM) program sought to get to the bottom of a very important ...

Abstract: The Broad Learning System (BLS) performs well in semi-supervised scenarios across many datasets, but its effectiveness is often limited by inadequate feature extraction and inefficient label ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

University of Michigan researchers have developed a machine learning system using four wearable sensors that can accurately assess balance exercise difficulty and provide AI-driven feedback to support ...

Adopting a focused niche as a freelancer can establish expertise and attract the right clients, but finding the right time and balance is crucial. Experimentation in projects and industries is ...

Management reiterated their decision to withhold formal financial guidance due to “ongoing tariff-related uncertainty.” Erickson said, “we remain cautious due to ongoing tariff-related uncertainty and ...