AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

has been cited by the following article: TITLE: The Indispensable Role of Law in Governing AI: Why Legal Ethics and Regulation Are Essential for Responsible AI Development ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Dwayne Johnson shines, but the movie around him tells the wrong story. By Alissa Wilkinson When you purchase a ticket for an independently reviewed film through our site, we earn an affiliate ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

Bitcoin (BTC) has fallen nearly 10% since its August 14 peak above $124,000, slipping below $110,000 multiple times amid weakening institutional demand. In hindsight, the drop is not so surprising: ...

Abstract: The primary objective of this article is to explore the effectiveness of Kalman filtering and machine learning algorithms in predicting vehicle trajectories, and to compare their performance ...