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.
William Liu is grateful that he finished high school when he did. If the latest AI tools had been around then, he told me, he might have been tempted to use them to do his homework. Liu, now a ...
What happens when AI becomes part of how we learn? On campus, students and faculty are exploring new approaches — and a new ...
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 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 ...
Abstract: Broad Learning System (BLS) is efficient but sensitive to label noise. Existing robust variants use sample-level weighting, which underutilizes sample-internal valid information. To overcome ...
An ongoing and heated dispute between the Pentagon and Anthropic is raising new questions about how the startup’s technology is actually used inside the US military. In late February, Anthropic ...
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