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 ...

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

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.

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 ...

Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...

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

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 ...

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

The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent systems that can perceive and act in real time.

Asif Nazrul, Rizwana main architects behind laws aimed to “favour interests of particular groups” ...

From a political perspective, the issue unfolds on ground where public risk is balanced not by scientific criteria but by financial and administrative burdens. Keeping hospitals in the “very high ...

A Thales report finds 65% of Indian organisations faced deepfake attacks, while 64% rank AI-enabled threats as their top data ...