As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with ...

Machine Learning (ML) and Deep Learning (DL) algorithms can reduce road accidents through their ability to detect sleepy drivers and quickly and timely warn them of the dangers their drowsiness ...

All algorithms submitted for the final phase of the competition are based on deep learning methods. This is a variant of machine learning that uses multi-layered artificial neural networks to ...

This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept ... All major techniques, such as regression, classification, clustering, ...

The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each ...

Tulasi Naga Subhash Polineni is a seasoned Oracle Cloud Integration Specialist with over 11 years of experience in ap ...

Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks.

Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant ...