Two of the trickiest qualities to balance in the world of machine learning are fairness and accuracy. Algorithms optimized for accuracy may unintentionally perpetuate bias against specific groups, ...

TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It deals with the inference aspect of machine learning, taking ...

Enter machine learning (ML), the process through which software and hardware use algorithms, data analysis and other procedures to expand their understanding of concepts. To join this emerging ...

OSI has long set the industry standard for what constitutes open-source software, but AI systems include elements that aren’t covered by conventional licenses, like model training data. Now, for an AI ...

In the age of artificial intelligence (AI), foreign language learning can seem like it ... developed as a limited statistical translation machine, it has evolved into a “portable interpreter”.

Here the authors report the prediction of oxygen vacancy for perovskites using machine learning techniques to develop suitable oxygen electrocatalysts for solid oxide fuel cells at reduced ...