AI-powered solution automates global trade product classification and improves compliance accuracy SAN JOSE, CA, UNITED ...

Group regulatory expectations into a small set of stable control families and types, then run your program around those, not around clauses, articles and acronyms.

Congress should enact legislation to require the Centers for Medicare and Medicaid Services to evaluate transitioning to a single modern procedure coding system to eliminate excess costs and lower ...

PEGI director Dirk Bosmans explains why the European body is rethinking how it rates games, taking into account "online interactive risks" such as battle passes ...

Every regulatory framework must choose a primary unit of risk -- model, use case, or impact produced -- to determine the starting point of regulatory oversight.

Leaders at the Combined Arms Command are integrating the use of the Maven Smart System, an artificial intelligence tool, to ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Abstract: To address the problem of managing dedicated parking zones arising from the increasing number of electric vehicles and vehicles for the physically challenged, this paper proposes a license ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Pentagon designates Anthropic a supply chain risk after refusing to develop weapons AI, blocking Claude from military contracts in a rarely-used label.

AI algorithms are increasingly developed to monitor vector populations based on either photos or sounds. However, the real-life accuracy of the models is highly dependent on the training data.

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.