Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...

Foundational Concepts in Artificial Intelligence Defining Artificial Intelligence and Its Scope So, what exactly is ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a table. Instead of chemical elements, the new chart arranges learning ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Abstract: In this project, ML algorithms are employed for diagnosing pesticide poisoning in rural workers. The Decision Tree algorithm is a popular choice due to its simplicity and interpretability.

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 ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

ABSTRACT: This study explores the growing impact of machine learning (ML) on forensic accounting and fraud detection. As financial transactions and systems become increasingly complex and voluminous, ...

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...