MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Physics AI engineering simulation tools reached production at General Motors this week, cutting a two-week aerodynamics cycle ...

We trained and tested the machine learning models using 5 cross-validations to avoid overfitting. In the machine learning models, 11 types of independent variables were used as input variables and ...

A Support Vector Machine (SVM) is a supervised machine learning model. In its basic form SVMs are used for binary classification tasks. Their fundamental idea is to learn a hyperplane which separates ...

GraphStorm is an enterprise-grade graph machine learning (GML) framework designed for scalability and ease of use. It simplifies the development and deployment of GML models on industry-scale graphs ...

Abstract: In this letter, the learning vector quantization (LVQ) from machine learning (ML) is adopted into the large-scale multiple-input multiple-output (MIMO) detection to improve the detection ...

Abstract: This paper introduces multi-output support vector machine regression (M-SVR) by using the re-weight iterative algorithm. Then the problem of online learning of M-SVR is solved by given the ...

Big data technology and data science illustration. Data flow... Neural network model. Artificial intelligence. AI Neural network model on white background. Artificial intelligence, Data science.

In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...

1 Department of Computer Science, Chennai Mathematical Institute, Chennai, India. 2 Department of Mathematics & Computer Science, Chennai Mathematical Institute, Chennai, India. 3 Department of Data ...