The Transparency Principles emphasize the effective communication of relevant information about a MLMD to users, such as the intended use(s), device development, device performance, and method for ...

The US Food and Drug Administration (FDA), Health Canada, and the UK Medicines and Healthcare products Regulatory Agency (MHRA) have released additional guiding principles for machine learning-enabled ...

In an era where data privacy concerns are at the forefront, the concept of machine unlearning has emerged as a critical tool for ensuring compliance with regulations like the General Data Protection ...

Giosuè Baggio is in the Language Acquisition and Language Processing Lab, Norwegian University of Science and Technology (NTNU), Trondheim NO-7491, Norway. Binz et al. explore horizontal integration ...

Generative AI (GenAI) services like ChatGPT and Google Gemini vividly illustrate how artificial intelligence (AI) technology can derive value from volumes of data that are too vast for humans to ...

Machine learning has transformed the way novel materials are discovered and engineered, shifting the field from trial-and-error experimentation towards data-driven ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements. Research has shown, however, that these systems memorize ...

Most ML projects fail to reach production. Five recurring pitfalls drive failures in ML projects: choosing the wrong problem, data quality/labeling issues, the model-to-product gap, offline-online ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Over the past few months, I have been helping data engineers, developers, and machine learning ...