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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
The manuscript begins with a historical perspective on the field of AIE and the relationship between artificial intelligence and learning. The evolution of the field is presented as a succession of ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...
An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...
Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...
At a potluck, you ate the best chocolate chip cookie—golden-brown, thick and chewy. Unfortunately, you don't know who made the cookie to get the recipe from, so you decide to recreate it. Using ...
At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...
We explore critical stages of M&A transactions and examine how AI is now available for deployment at each stage and the ...
Motor imagery or imagined limb movements can power brain–computer interface (BCI) devices, such as prostheses and wheelchairs, supporting rehabilitation for people with neuromusculoskeletal disorders.
Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...
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