TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Worms is becoming a hotspot for predictive high-end algorithm development: The deep-tech company mAInthink.ai presents ...

Digitalisation has rapidly changed the face of industry and business. Businesses have increasingly integrated modern technologies into their operations to improve real-time activity. However, ...

Existing deep learning-based hyperspectral anomaly detection methods often overlook frequency domain features, hindering the ability to effectively distinguish between background and anomalies.

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that CommunityWide Federal Credit Union has selected its platform to enhance real-time fraud and anomaly detection ...

We demonstrate the capabilities of our proposed anomaly detection method as a quality check for newly manufactured automotive transmissions. Given the use of frequency domain order-based features in ...

CTSMamba is a multitask deep learning model trained on longitudinal CT images of neoadjuvant chemotherapy-treated locally advanced gastric cancer that accurately predicts lymph node metastasis and ...