Furthermore, the algorithm introduces a cost function based on Bell inequalities-an important theorem in quantum mechanics that highlights the distinction between quantum entanglement and classical ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

shenzhen, May 16, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 16, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a novel quantum entanglement-based ...

Model Training and Performance We compared several supervised ML classification algorithms: LR, DTs, and RFs. All these methods take as input the full list of high-dimensional covariates. As a ...

Applications consist of classification, clustering and neural networks. Two of the traditional machine learning-based algorithms are (1) decision tree and (2) deep learning.

We adopted SimSiam to conduct self-supervised pretraining on two large whole-slide image CRC data sets from the United States and Australia. The SSL pretrained encoder is then used in several ...