ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

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 ...

An example of a virtual world created by Project Genie. Credit: Google Google has launched a new AI experiment called Project Genie, a tool that lets users build their own interactive virtual worlds.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Washington, Nov. 25, 2025—The World Bank Board of Executive Directors today approved two projects in India that will benefit more than 6 million people by using innovative digital solutions to improve ...

This list is continuously updated. Pull requests welcome — please follow CONTRIBUTING.md. A curated list of 500+ AI/ML/DL/CV/NLP projects and resources (tutorials, repos, datasets, papers-with-code).

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.