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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
GenAI can do more than generate images – it can spark design students’ ability to imagine objects and spaces in 3D. Here’s how ...
Overview AI hiring in India is rising as companies shift from testing AI to daily use.Skills like Python, Generative AI, and ...
Restaurant technology has entered a new phase, defined less by individual tools and more by intelligent systems that connect ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Tech Xplore on MSN
Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...
Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
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