Deep Mind has extended AlphaZero to mathematics to unlock new possibilities for research Algorithms. AlphaTensor, builds upon AlphaZero, an agent that has shown superhuman performance on board games, ...

Deploying deep learning algorithms on embedded platforms involves a structured process that optimizes models, considers hardware constraints, and addresses real-time performance requirements. By ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm This item in japanese Jan 10, 2023 2 min read by. Anthony Alford. Write for InfoQ Feed your curiosity. ...

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 ...

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… ...

Generative models – Using deep learning algorithms and pre-existing data, generic models produce new content. These technologies are used in applications like text, video, and image production.

Last week, we built our Deep Learning foundation, learning about perceptrons and the backprop algorithm. This week, we are learning about optimization methods. We will start with Stochastic Gradient ...