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) …
In a gallery in downtown Manhattan, people are huddling around four laptops, taking turns to control the apartments of 14 complete strangers. They watch via live video feeds, and respond whenever the residents ask "Someone" to help them. They switch the lights on and off, boil the kettle, put some music on – whatever they can do to oblige. The project, called Someone, is the latest in a series exploring our ever more complicated relationship with technology. It's by the American artist Lauren McCarthy and is a sort of outsourcing of Lauren, an earlier work in which she acted as a real-life Alexa, remotely watching over a home 24 hours a day, responding to its occupants' questions and needs like a flesh and blood version of Amazon's voice-operated virtual assistant.
In this lecture, I will offer you a definition of artificial intelligence, or AI, and give you a brief overview of its history from its inception in the 1950s. Let's start by saying what AI isn't. AI is not machines that think, or even computers that work the way the brain works. AI is what machines do, not how they do it. The authors of a leading textbook on AI have offered eight possible definitions of the term.
The evolution of artificial intelligence (AI) grew with the complexity of the languages available for development. In 1959, Arthur Samuel developed a self-learning checkers program at IBM on an IBM 701 computer using the native instructions of the machine (quite a feat given search trees and alpha-beta pruning). But today, AI is developed using various languages, from Lisp to Python to R. This article explores the languages that evolved for AI and machine learning. The programming languages that are used to build AI and machine learning applications vary. Each application has its own constraints and requirements, and some languages are better than others in particular problem domains.
For the next seven weeks, anyone who's inclined can go to 205 Hudson Street in New York City and take over someone else's apartment. Smart devices like the kettles, lighting and speakers of four homes connect directly to laptops in the corner of an art gallery. Cameras are trained on bathrooms, kitchens and living areas. Visitors can sit down and become a human Alexa, playing music, eavesdropping on conversations through microphones and communicating with the inhabitants via text-to-speech. Each home -- three in Brooklyn, one in San Francisco -- will be "live" for two hours a day.
Artificial beings, behaves like humans were common in fiction stories, TV serials and movies. As a child, I was a big fan of Japanese TV serial "The Giant Robot" and Karel Capek's R.U.R (Rossum's Universal Robot). All technological inventions and scientific discoveries have kick-started human wild fantasies into reality. Today, Artificial Intelligence, is one of the hot topics on the table. Websites and magazines have been constantly bombarded with news and articles on AI which seems too good to be true for me.
Content provided by IBM with Insider Studios. In the summer of 1956, 10 scientists and mathematicians gathered at New Hampshire's Dartmouth College to brainstorm a new concept Assistant Professor John McCarthy called "artificial intelligence." According to the original proposal for the research project, McCarthy--along with fellow organizers from Harvard, Bell Labs and IBM--wanted to explore the idea of programming machines to use language and solve problems for humans while improving over time. It would be years before these lofty objectives were met, but the summer workshop is credited with launching the field of artificial intelligence (AI). Sixty years later, cognitive scientists, data analysts, UX designers and countless others are doing everything those pioneering scientists hoped for--and more.
Google chief executive Sundar Pichai is set to testify to Congress in December, facing off against lawmakers for the first time at a hearing that could subject the search giant to the same harsh political spotlight that has faced its tech peers all year. The scheduled Dec. 5 hearing before the House Judiciary Committee, confirmed by three sources familiar with the plan but not authorized to speak on record, comes in response to some Republicans who claim that Google is biased against conservatives. A spokesman for the panel's GOP leader, Virginia Rep. Bob Goodlatte, did not immediately respond to a request for comment. Google also did not immediately respond. Led by House Majority Leader Kevin McCarthy (Calif.),
In the summer of 1956, 10 scientists and mathematicians gathered at New Hampshire's Dartmouth College to brainstorm a new concept assistant professor John McCarthy called "artificial intelligence." According to the original proposal for the research project, McCarthy -- along with fellow organizers from Harvard, Bell Labs, and IBM -- wanted to explore the idea of programming machines to use language and solve problems for humans while improving over time. It would be years before these lofty objectives were met, but the summer workshop is credited with launching the field of Artificial Intelligence (AI). Sixty years later, cognitive scientists, data analysts, UX designers, and countless others are doing everything those pioneering scientists hoped for -- and more. With deep learning, companies can make extraordinary progress in industries ranging from cybersecurity to marketing.
Artificial intelligence is coined from two different words. Artificial is said to be man made while intelligence on the other hand is the capacity of mind to understand principles, truth, facts or meanings, to acquire knowledge, and apply it to practice. It's the ability to learn and comprehend. Artificial intelligence is therefore machines created by man to make life easy and comfortable. These are computer programs or machines that help to think and learn.
This week's milestones in the history of technology include the coining of the term "artificial intelligence," the digitization of the Library of Congress, and the first penny paper. The first issue of Scientific American is published by Rufus Porter as a weekly broadsheet subtitled "The Advocate of Industry and Enterprise, and Journal of Mechanical and Other Improvements." In an era of rapid innovation, Scientific American founded the first branch of the U.S. Patent Agency, in 1850, to provide technical help and legal advice to inventors. A Washington, D.C., branch was added in 1859. By 1900 more than 100,000 inventions had been patented thanks to Scientific American.