Abstract: This study comprehensively examines the ability to forecast the stability of smart grids using sophisticated deep learning and machine learning models. We investigate different approaches, ...

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) ...

When a blog post by Andrej Karpathy lands in your feed, you pay close attention, simply because few voices in the field of ...

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 ...

Enhancing enzyme catalytic efficiency and thermal stability is crucial for biocatalytic and industrial applications. While structure-based protein sequence design can improve thermal stability, its ...

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.

Gemini 2.5 Deep Think Is Google’s Most Advanced AI Model to Date Your email has been sent Deep Think, a multi-agent AI model from the Google DeepMind team, is now available via the Gemini app. While ...