Throughout their program, School of Advanced Military Studies students are challenged to become creative and critical ...

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 ...

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

Abstract: Accurate identification and classification of bird species are crucial for advancing research and conservation efforts, enhancing our understanding of population dynamics, and implementing ...

Contrary to expectations, perceived ease of use (β=0.108; P=.07) did not have a significant impact on use intention. From the open-ended question, 3 main themes emerged regarding clinicians’ perceived ...

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 all heard about model context protocol (MCP) in the context of artificial intelligence. In this article, we will dive into what MCP is and why it is becoming more important by the day. When ...