When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is under scrutiny for instance, its different parts ...
A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...
The Association for Machine Translation in the Americas (AMTA) held its 2025 conference virtually on September 25, 2025, ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Abstract: The SAR-to-Optical image translation task helps solve the interpretability of SAR images and has attracted much attention from researchers in recent years. Although existing methods based on ...
Are the same technologies that promise to make us smarter making us less capable of the mental work that builds understanding ...
Starkey, a billion-dollar hearing tech company, is one company addressing not only hearing loss today, but preparing for what ...
Algorithms developed by Professor Brokoslaw Laschowski (MIE) and his lab are being used to decode the brain and interface ...
Abstract: Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks ...
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