CAMPBELL, Calif., April 29, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leading provider of data observability and agentic data management solutions, today announced Adaptive AI Anomaly Detection, a ...

deep-learning computer-vision tensorflow keras django python logo-detection brand-protection counterfeit-prevention machine-learning neural-networks cnn image-classification ai security ...

Abstract: Identifying attacks on Internet of Things (IoT) systems through anomaly detection remains a critical area of research. One common and effective strategy in this field involves monitoring ...

The presence of TLS, a key biomarker for better prognosis and improved survival, is not yet a standard part of patients' pathology reports, and manual detection is labor-intensive and can be variable.

The future of a potentially groundbreaking cancer detection tool hangs in the balance, as the only scientist able to unlock its full potential sits inside a Louisiana immigration detention center ...

Abstract: Anomaly detection is a crucial aspect in ensuring the reliability of industrial products in smart manufacturing. Despite employing unsupervised anomaly detection methods to mitigate the ...

In a survey conducted by MIT Technology Review, 64% of manufacturers indicated they are currently researching or experimenting with AI. This influx makes it increasingly critical for manufacturers to ...

One impactful innovation in this space is AI-driven quality inspection, which offers a game-changing solution using machine learning (ML) to automate defect detection with unparalleled precision.

supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

With the skies growing more crowded, FAA experts are testing new drone detection technology along the New Jersey shore to ensure safety for planes and emergency service helicopters. NBC News ...