The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

The study offers five actionable insights for humanitarian organizations seeking to adopt AI tools. First, deep problem ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

By automating the end-to-end machine learning pipeline, it empowers less-experienced developers to build high-quality models ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

AWS upgraded its SageMaker platform to offer more observability and streamlined functions to make AI model inference and training easier.

The researchers identified a clear trade-off between environmental cost and predictive performance. Fully DFT-based workflows ...

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...