Industrial anomaly detection is crucial for maintaining quality control and reducing production errors, but traditional ...

In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...

Unusual data readings, or anomalies, can signal issues like equipment malfunction, faulty components or deteriorating sensors that disrupt the expected operational flow. AI-based anomaly detection ...

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...

Caris Life Sciences® (NASDAQ: CAI), a leading, patient-centric, next-generation AI TechBio company and precision medicine pioneer, announced a landmark study published in Scientific Reports, a ...