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 ...

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

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 ...

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 ...

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 ...

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 ...

An integrated framework combining first-principles calculations and machine learning was developed to predict gas-sensing performance. Key descriptors such as adsorption energy, adsorption distance, ...

Quantum machine learning (QML), also called quantum-enhanced machine learning, blends the computing power of quantum systems with the increasing computing demands of ...

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 ...