If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
What happens when robots take our jobs, or take on military roles, or drive our vehicles? When we ask these questions about the rapidly-expanding role of AI, there are others we're often overlooking--like the subject of a WEF paper released this week: how do we prevent discrimination and marginalization of humans in artificial intelligence? Machines are increasingly automating decisions. In New York City, for instance, machine learning systems have been used to decide where garbage gets collected, how many police officers to send to which neighborhoods, and whether a teacher should keep their job. These decision-making technologies bring up equally important questions.
What do you think of when you hear about AI? Do you picture your favorite sci-fi movie or a book that you read when you were younger? In that favorite book or movie, were the robots smart? In AI, we can find a subset of machine learning called "deep learning," which is defined as networks that can learn unsupervised from unstructured data. Now the bigger question is: Are you ready to take advantage of deep learning in your business? The vast ocean of data grows exponentially every day.
Searching for people to fill jobs requires a lot of research. Experience, skill sets, salary expectations, coordinating interviews, and numerous other issues must be addressed to match worker to employer. Artificial intelligence and machine learning are making all of those calculations easier, and the future of hiring will likely only get more streamlined due to those technologies. "One very specific example of this is coordinating and scheduling for incoming (job) candidates," says Dr. Andrew Chamberlain, chief economist with Glassdoor.com, "There are companies like X.AI who now offer chatbots that handle scheduling totally."
It helps us find the best route to our next destination and tells us when to leave. It filters spam from our email inboxes, and it helps protect us from fraud. Yet, the industry talks about AI as if were a new thing. Why? AI continues to evolve from existing machine learning algorithms and solutions toward more advanced neural networks that mimic aspects of how the human mind works. These advances in AI promise solutions that are better at image, speech and pattern recognition.
Artificial Intelligence is the biggest buzzword going around this season. Everyone is engaging in discussions over chat-bots and putting across their ideologies, assumptions and thoughts around it. It is one of the most searched topics on the Internet in recent times with a plethora of articles associated with it.
The quest to give machines a mind of their own occupied the brightest AI specialists in 2017. Machine learning (and especially the newly hip branch, deep learning) practically delivered all of the most stunning achievements in artificial intelligence so far -- from systems that beat us at our own games to art-producing neural networks that rival human creativity.
We live in a crazy world where a robot was recently given citizenship to a sovereign country for the first time. Granted, the country is Saudi Arabia and the robot's creator is creepier than the robot itself, but it's hard to ignore the fact that artificial intelligence (AI) is evolving quickly and becoming ingrained in various aspects of our lives.