Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...
Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...
Abstract: The agriculture industry is critical to delivering high-quality food and contributes significantly to the growth of economies and people which can be affected by the plant disease. This ...
Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...
Abstract: A novel visualization method for interpreting the resultant design from topology optimization (TO) is proposed. We employ a pre-trained deep learning (DL) model to predict the degree of ...
Researchers from Peking University have developed a novel noninvasive choroidal angiography method that enables layer-wise visualization and evaluation of choroidal vessels using deep learning. This ...
A fascinating deep learning visualization project that demonstrates the beauty of neural networks learning to navigate through traffic in real-time. This project brings together the elegance of ...
As machine learning progresses, techniques such as neural networks, decision trees, and support vector machines are being increasingly applied in the medical domain, especially for tasks involving ...
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