Artificial Intelligence & Machine Learning

BRJCIT aims to publish double-blind, peer-reviewed, high-quality research papers featuring the latest innovations and advanced studies in computer science, computing and information technology, covering a wide range of topics from theoretical foundations to real-world applications. Every article is published open access under a CC BY 4.0 license. You keep your copyright, and your work is free to read worldwide from the day it publishes, across multiple channels.

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About Artificial Intelligence & Machine Learning

Artificial Intelligence & Machine Learning is one of the subject areas published in the Boston Research Journal of Computers & Information Technology. It covers neural networks, deep learning, reinforcement learning, Bayesian methods, natural language processing, and the application of machine learning to domains including healthcare, business, data science, and computer vision.

Papers are welcome from researchers working on theoretical foundations as well as applied systems, including those drawing on robotics, statistics, or cognitive science. The readership spans computer scientists, data engineers, and practitioners in medicine and finance who deploy these methods in substantive research contexts.

Objective

The objective of our journal is to produce peer-reviewed, authenticated research papers on various theoretical as well as applied disciplines of artificial intelligence prepared by scholars and researchers all across the world. Boston Research Journals does not just concern the field of artificial intelligence but also includes all the scopes that are mildly or completely related to these fields, providing our authors a single platform for all their works.

Aim & About Journal

Boston Research Journal of Computers & Information Technology primarily focuses on computers and information technology. The journal welcomes original and progressive research papers in this discipline in order to provide knowledge. We aim to become a reference research publication. We publish and review original and authentic research papers as well as auxiliary materials such as case studies, technical reports, etc., from scholars and researchers all across the world. We welcome the submission of papers concerning any branch of computer science and its application in business, industry, and other organizations.

Primary Subjects Under This Discipline

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Artificial Intelligence & Machine Learning

The development of machines to perform intelligent tasks such as reasoning and decision making.

Network & Security

The connection of devices for mutual exchange of data and protection of data from hackers.

Cloud & Quantum Computing

The virtual spaces provided by applications for the storage of data that could be accessed later.

Hardware & IoT

The manufacturing and development of the devices that make up the computer and work in harmony while taking the input, processing the data and giving the output.