Advance Machine Learning and Related Technologies in 2022

By: A. Gaurav and Kwok Tai Chui Automated learning and improvement is a key feature of…

Metaverse Technology and the Current Market

By: M. Kaur, B. Gupta Metaverse technology is being called the next big revolution of the…

Knowledge Graph: Applications with ML and AI and Open-Source Database Links in 2022

By: A. Khan, F. Colace Introduction With every passing year, machine learning attracts researchers towards a…

Metaverse Technologies and Its Applications

By: Mavneet Kaur, B. Gupta The Metaverse [1] is a virtual shared area that is open…

Future Scope of Machine Learning and AI in 2022

By: A. Khan, K. T. Chui, D. Peraković Future scope of Machine Learning (ML) and AI…

Deep Learning in Healthcare

deep learning in healthcare

AI Techniques in Information Management

By: U. Yadav Information management has evolved through record storage and processing to a company’s strategic…

How does Natural Language Processing apply to IoT?

By: A. Tewari The Internet of Things (IoTs) has a deep connection with artificial intelligence. IoT…

Application of Deep Learning in Big Data Analytics for Healthcare Systems

By: R. Mehla The advancements in technology and digitalization in the healthcare industry promote the growth…

MLOps: A New Era of DevOps, Powered by Machine Learning

By: Muskaan Chopra, Sunil K. Singh While discussing AI, we typically examine data pre-preprocessing, perceptions, and…

Blockchain and Artificial Intelligence for Industrial Automation

By: A. Dahiya Blockchain technology is growing at a rapid pace every day, and can be…

Edge Intelligence: A New Emerging Era

Edge Intelligence: A New Emerging Era

15 Most Popular Books on Deep Learning in 2021

By: K. Yadav Deep Learning Ian Goodfellow, Yoshua Bengio and Aaron Ian Goodfellow, Yoshua Bengio and…

2021 Hot Topics in Machine Learning Research

By: K. Yadav, M. Quamara, B. Gupta Federated Machine Learning What is it about? Federated machine…

10 Most Popular Books on Federated Learning

By: K. Yadav Federated Learning Qiang Yang Morgan & Claypool Advances and Open Problems in Federated…

Driving Status Modeling: From Detection to Prediction

By: K. T. Chui We are all road users and desire a safe road environment. According…

Federated Learning in Remote HealthCare: A Generalization as well as Personalization Perspective

By: K. Yadav The growth of machine learning has brought about a revolutionary change in the…

Unsupervised Learning for Threat Detection

By: K. Yadav Using massive amounts of data to learn about different aspects of data and…

Top 10 Elsevier Journals in Artificial Intelligence

By:  Z. Zhou Nowadays, Artificial intelligence (AI) is widely used in various application domains and is…

Deep Learning for Forensics and Anti-Forensics

By: D. Peraković Nowadays, due to the development in the field of modern digital technologies, most…