Modern AI began with open source, and it ran on Linux. Today, Linux isn't just important for artificial intelligence; it's the foundation upon which today's entire modern AI stack runs. From ...

Which IIT First introduced B.Tech in Artificial Intelligence? Discover how this IIT changed engineering careers, and how it ...

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.

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 ...

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 ...

mlip is a Python library for training and deploying Machine Learning Interatomic Potentials (MLIP) written in JAX. It provides the following functionality: 🎙️ For further information on the design ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...

The Anderson County Library System launched a book vending machine at a local Food Lion, offering easy access to books and DVDs. A summer reading program, "Color Our World," engages all ages with ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...