Advances in machine learning (ML) and deep learning (DL) are undoubtedly enabling significant breakthroughs in all areas of science and technology. ML/DL models, however, do not necessarily obey the ...

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 ...

As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As an enthusiastic digital marketer who is passionate about search engine optimization (SEO) ...

MENLO PARK, Calif.--(BUSINESS WIRE)--Verta, the Operational AI company, today announced that data scientists can now use, at no cost, Verta Model Catalog to easily, safely, and securely manage all ...

Modelops improves machine learning model development, testing, deployment, and monitoring. Follow these tips to keep model risks in check and increase the efficiency and usefulness of your ML ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

What could machine learning mean for the financial markets? Machine learning brings a lot of new tools. That said, I would argue that finance has been implicitly using machine-learning principles ...