Amy Unruh: “Today, the backpropagation algorithm is really the workhorse of deep learning. Such an important breakthrough! Amy wasn’t the only expert that nominated “backpropagation.” ...

Deep learning is a topic that is making big waves at the moment. It is basically a branch of machine learning (another hot topic) that uses algorithms to e.g. recognize objects and understand ...

Efficiency: When a deep learning algorithm is properly trained, it can perform an order of magnitude faster than humans. ... This process, called feature extraction, takes time, ...

InfoQ Homepage News Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm. ... Hinton’s paper proposed 2 different Forward-Forward algorithms, which I called Base and ...

In 2006–2011, “deep learning” was popular, but “deep learning” mostly meant stacking unsupervised learning algorithms on top of each other in order to define complicated features for ...

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.

There’s an algorithm there called temporal differences, developed back in the ‘80s by Richard Sutton, that, when coupled with deep learning, is capable of very sophisticated plays that no ...

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 ...