Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
Explore Open Notebook and HyperbookLM with mind maps, slide decks, and web scraping, helping you turn raw files into clear ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
GE HealthCare has won FDA Premarket Authorization (PMA) for its Pristina Recon DL technology for 3D mammography image reconstruction. GE HealthCare says it’s the first mammography technology that ...
Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...
Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Patients with FGF19-overexpressing HCC showed significant responses to irpagratinib and atezolizumab, with an ORR over 50% and median PFS exceeding 7 months. The trial emphasized the potential of the ...
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