AI Security Detection Must Match AI Capability Or It Will Fail

When detection capabilities lag behind model capabilities, organizations create a structural gap that attackers are ...
AZoM

Latent Defects in Semiconductor Devices: Detection Challenges and Reliability Implications

Hidden semiconductor defects often pass inspection but fail later in operation. Learn how latent defects form, evade ...

AV-Comparatives Publishes APT Detection Coverage 2026 for Consumers

Independent research shows strong protection against known APT threats, while highlighting challenges in detecting modified ...
National Academies of Sciences%2c Engineering%2c and Medicine

Global Infectious Disease Surveillance and Detection: Assessing the Challenges—Finding Solutions: Workshop Summary

NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of ...
The American Journal of Managed Care

Challenges and Opportunities for AI in Melanoma Detection

While artificial intelligence (AI) holds promise to improve the diagnosis of melanoma, researchers of a new review outlined challenges with these novel approaches. Artificial intelligence (AI) has ...
Just Auto

How to overcome complex leak testing challenges in the FCEV industry

Despite advances in fuel cell technology and an ever-pressing need to reduce our fossil fuel dependency, barriers to hydrogen-powered vehicles remain. From insufficient re-fueling infrastructure to ...
AZOM

Challenge Accepted: Reliable Metal Detection in Poultry Production

Detecting metal in poultry products is a major challenge due to their high conductivity, often resulting in false rejects and product loss. As a best practice example, Plukon has implemented the metal ...