The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

Deep Learning A-Z 2025: Neural Networks, AI, and ChatGPT Prize Offered by Udemy, this course is taught by Kirill Eremenko and Hadelin de Ponteves and focuses on practical deep learning ...

For another example, in AR technology, deep learning-enabled AI is used in camera pose estimation, immersive rendering, real-world object detection and 3D object reconstruction, helping to ...

Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. Five of the most promising emerging trends in this area include federated ...

The more practice deep-learning algorithms get, the better they become. Examples of Deep Learning (DL) Virtual assistants such as Siri or Alexa. Automated Translations Chatbots and service bots ...

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Deep Learning (DL) is, in essence, Machine Learning on steroids. It’s a specialized subfield that focuses on algorithms inspired by the structure of the brain, known as artificial neural networks.

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study. The Lancet Digital Health, 2022; 4 (9): e657 DOI: 10.1016/S2589 ...