“We would say that there is abundant research now showing ethical problems and social harms that can arise from data misuse in machine learning … Scientists like data, so we think if we can ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development ...

To understand what it’s doing, you first have to understand that most machine learning problems can be broken down into either classification or regression. Classifiers are used to categorize ...

The "machinations" of machine learning algorithms can be mysterious, even for computer scientists and others with specialized training Alleviating black-boxed classification problems will not be ...

AMGWO, a new feature selection method inspired by grey wolves, uses adaptive strategies to enhance machine learning models.

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Machine learning is becoming increasingly valuable in semiconductor ... Source: Synopsys/IEEE ASMC “We chose ResNet because it has been widely used in multi-classification problems, such as ...

Dr. James McCaffrey of Microsoft Research uses code samples and screen shots to explain perceptron classification, a machine learning technique that can be used for predicting if a person is male or ...