Deep learning algorithms. As I mentioned earlier, most deep learning is done with deep neural networks. Convolutional neural networks (CNN) are often used for machine vision.

8 practical examples of deep learning. Now that we’re in a time when machines can learn to solve complex problems without human intervention, what exactly are the problems they are tackling?

Deep learning is good at finding patterns in reams of data, but can't explain how they're connected. Turing Award winner Yoshua Bengio wants to change that.

Algorithms and deep learning: the best of both worlds. Veličković was in many ways the person who kickstarted the algorithmic reasoning direction in DeepMind.

Efficiency: When a deep learning algorithm is properly trained, it can perform an order of magnitude faster than humans. How deep learning works. As we’ve said before, ...

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 algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases ...