Genome editing technologies like CRISPR-Cas9 have transformed biology, medicine, and agriculture, but concerns remain about ...

We’ve come a long way from up/down monitoring. From factory floors to modern enterprise infrastructure, IT admins now require significantly more information than a simple check to determine whether a ...

1 Introduction Precision agriculture has revolutionized the agricultural industry, enabling efficient and sustainable crop management through targeted interventions. Within this domain, anomaly ...

In lung cancer detection, radiologists first assess the size, shape, and category of a nodule to decide upon the next action in patient management. AI can analyze three-dimensional texture and ...

Our anomaly-based system combines an IRC [7] parsing component with a syn-scanner detection system aimed at individual IP hosts. The IRC parsing system collects information on TCP packets and ...

In summary, addressing the challenges faced in the field of WTG fault diagnosis and anomaly detection, i.e., improving the quality of data collection, ensuring the credibility of training data, ...

Why will AI play an important role in creating smart factories and automating anomaly detection? Rachel Johnson: We typically see this proceed through four major steps. It always starts with data. We ...

In industrial inspection scenarios, the scarcity of data and the varying appearances of anomalies pose significant challenges for existing methods in accurately localizing anomaly edges and reducing ...

For example, we plan to use continual learning based on the delayed anomaly assessment of the generative reasoner to avoid triggering the slow reasoner on non-safety-critical anomalies a second time." ...