AI means “artificial intelligence” and we use it to describe any time a computer does something that would require the intelligence of a human-or anything that mimics human intelligence, whichever way you want to think of it. AI in marketing is already prevalent, and you probably interact with AI on a daily basis. Here are some ways you interact with artificial intelligence: Search engines like Google use AI (algorithms like Rankbrain) to determine the most appropriate result for a search; automated marketing emails use AI to figure out what emails to send based on how you’ve interacted with a business or website; various types of online ads use AI to determine who should see a specific ad, based on past behavior, interests and search queries; chatbots are becoming more common in online messengers so that larger brands can assist customers immediately and efficiently; voice searches on smart speakers or even smartphones use AI to determine the best result for those long-tail keywords and conversational queries. Artificial Intelligence garners more frontpage headlines every day. Artificial Intelligence is the technology enabling machines to learn from experience and perform human-like tasks. Ping-ponging between utopian and dystopian, opinions vary wildly regarding the current and future applications, or worse, implications, of artificial intelligence. Without the proper moorings, our minds tend to drift into hollywood-manufactured waters, teeming with robot revolutions, autonomous cars, and very little understanding of how AI actually works. This is mostly due to the fact that AI in itself is describing different technologies, which provide machines the ability to learn in an “intelligent” way. In our coming series of blog posts, we hope to shed light on these technologies and clarify just what it is that makes artificial intelligence, well, intelligent. Popular misconceptions tend to place AI on an island with robots and self-driving cars. However, this approach fails to recognize artificial intelligence’s major practical application; processing the vast amounts of data generated daily. By strategically applying AI to certain processes, insight gathering and task automation occur at an otherwise unimaginable rate and scale. Parsing through the mountains of data created by humans, AI systems perform intelligent searches, interpreting both text and images to discover patterns in complex data, and then act on those learning’s. Many of AI’s revolutionary technologies are common buzzwords, like “natural language processing,” “deep learning,” and “predictive analytics.” Cutting-edge technologies that enable computer systems to understand the meaning of human language, learn from experience, and make predictions, respectively. Understanding AI jargon is the key to facilitating discussion about the real-world applications of this technology. The technologies are disruptive, revolutionizing the way humans interact with data and make decisions, and should be understood in basic terms by all of us.

Our journal of International Journal of Swarm Intelligence and Evolutionary Computation is great platform for the all the researchers who are in the field of Advances in Artificial Intelligence.

You can submit your related manuscript to the www.longdom.org/submissions/international-swarm-intelligence-evolutionary-computation.html publication in any type of research work as original papers, review article, and short communication.