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

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 ...

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 ...

Network cybersecurity and control system organizations have fundamentally different objectives and criteria when it comes to identifying cyber incidents ...

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

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

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

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.

Consumers, businesses, and institutions may soon have private, secure, and trustworthy generative AI tools for editing and sharing profile photos, ID images, and personal pictures without exposing ...

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

Google Antigravity automates Gmail email inbox sorting with OAuth2 and Claude Haiku 4.5, using labels for ongoing daily ...

Explore how DFMEA transforms product development by identifying potential risks, optimizing designs, and ensuring compliance with regulatory standards.