In today’s rapidly changing world, higher-order thinking skills, such as problem-solving and critical thinking, are valued by employers far ...
Large language models power everyday tools and reshape modern digital work.Beginner and advanced books together create a ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...
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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 ...
Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
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 ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
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