Generative deep learning models are artificial intelligence (AI) systems that can create texts, images, audio files, and videos for specific purposes, following instructions provided by human users.
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 ...
Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
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 ...
Harnessing the power of AI, researchers unlock the potential of whole-body MRI to predict health risks, paving the way for smarter, personalized prevention strategies. Study: Deep learning-based body ...
Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...
A recent study published in the Journal of Geophysical Research: Machine Learning and Computation presents a new image enhancement process for scanning electron microscopy (SEM) data sets, called Deep ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
Humans perceive and navigate the world around us with the help of our five senses: sight, hearing, touch, taste and smell. And while scientists have long known that these different senses activate ...
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