[Daniel Geng] and others have an interesting system of generating multi-view optical illusions, or visual anagrams. Such images have more than one “correct” view and visual interpretation. What’s more ...

(a) The flow to train the estimator. Training data for the CNN was prepared by simulation using the CI model. The researchers simplified the data with pre-processing and then trained the CNN. (b) The ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

There's no more important topic than machine learning in the developer space right now as advanced AI constructs like ChatGPT and Microsoft's "Copilot" assistants are transforming the industry. With ...