Traditional detection methods for AI-generated content rely heavily on access to the inner workings of the models - an ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

The quantum image edge detection algorithm is based on quantum state ... resource consumption, model generalization, and hardware compatibility. Its Quantum Principal Component Analysis (QPCA ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny also produced a ...

A new study titled "An Efficient Method for Early Alzheimer’s Disease Detection Based on MRI Images Using Deep Convolutional ...

An AI-driven biomarker model that analyzes routine imaging and clinical information may improve the detection of cancer cachexia, according to results presented by Sabeen Ahmed at AACR Annual Meeting ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today that their newly developed quantum edge detection algorithm has broken through the limitations of classical methods. This ...

SHENZHEN, China, May 1, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today that their newly developed quantum edge detection algorithm has broken ...