The European Union Aviation Safety Agency (EASA) and Daedalean published their second joint report Concepts of Design Assurance for Neural Networks (CoDANN) II, on May 21 to explain key 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 ...

Opinions expressed by Entrepreneur contributors are their own. While artificial intelligence (AI) is already effectively assisting human developers at every level of the development process, software ...

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 ...

Machine learning (ML) platforms are specialized software solutions that enable users to manage data preparation, machine learning model development, model deployment, and model monitoring in a unified ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

AI and machine learning developers most often rely on language and speech-based Application Programmer Interfaces (APIs). 50% say gathering or generating data is the most challenging aspect of ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Demonstrating the wide-ranging benefits of Glow NN compiler for vision- and voice-based machine learning applications - NXP is the first semiconductor vendor to deliver a 2-3x performance jump for ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...

Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a team has developed a machine learning tool to ...