Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It involves training ...
Research team proposed DeepSwarm, a collective deep learning framework integrating swarm intelligence for bidirectional ...
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...
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Deep-Learning Model Identifies Parkinson's Disease-Specific Neuroanatomical FeaturesGiven CVAE’s ability to discern neuroanatomical features that are specific to diseases, the researchers believe that this ...
Genes are known to play a crucial role in shaping how the brain ages. In this study, researchers used deep learning models trained on MRI scans, lifestyle data, health records, and genetic ...
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How neural networks represent data: A potential unifying theory for key deep learning phenomenaHow do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...
A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.
Deep-learning (DL) radiopathomics models can help predict the presence of vessels encapsulating tumour clusters (VETC) in ...
Recently, an international team proved that deep learning techniques and large language models can help astronomers classify stars ...
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