BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

ANN ARBOR, Mich. — As data centers expand to keep up with increasing demand for AI and EV tech, one Michigan-based company says the answer may not be increasing power, but in having better control of ...

ANN ARBOR, MI — Communities across the area are grappling with plans for massive hyperscale data centers to power artificial intelligence and other computing technologies. Proposals backed by Big Tech ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

ANN ARBOR, MI - Data centers backed by powerful entities will soon be part of southeast Michigan’s footprint. Gov. Gretchen Whitmer. Silicon Valley tech giants. New York-based real estate developers.

Screenshot courtesy of Audrey Shabelski. In an interview with The Michigan Daily, Joshua Baron, Ann Arbor Information Technology Director, said he hopes the portal will be helpful for the Ann Arbor ...

The City of Ann Arbor is looking to upgrade its record keeping system. The move is designed to bring more transparency to the police department. In May, the City Council passed a resolution directing ...

We already have A2A server example in .NET. We can re-use it for A2A testing on Python, but it would be nice to have an example of A2A server in Python to be able to test and run A2A-related examples ...

This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: A principal focus in fuzzy systems research is on maintaining good performance while providing strong explainability, principally by leveraging meaningful sets of human-accessible rules. In ...