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) …
This year, we have seen all the hype around AI Deep Learning. With recent innovations, deep learning demonstrated its usefulness in performing tasks such as image recognition, voice recognition, price forecasting, across many industries. It's easy to overestimate deep learning's capabilities and pretend it's the magic bullet that will allow AI to obtain General Intelligence. In truth, we are still far away from that. However, deep learning has a relatively unknown partner: Reinforcement Learning.
"The essence of general intelligence is the capacity to imagine oneself" -- myself Recognize that to gain the perspective that comes from seeing things through another's eyes, you must suspend judgement for a time -- only by empathizing can you properly evaluate another point of view. Moravec's paradox is the observation made by many AI researchers that high-level reasoning requires less computation than low-level unconscious cognition. This is an empirical observation that goes against the notion that greater computational capability leads to more intelligent systems. However, we have today computer systems that have super-human symbolic reasoning capabilities. Nobody is going to argue that a man with an abacus, a chess grandmaster or a champion Jeopardy player has any chance at besting a computer.
Getting its world premiere at documentary festival IDFA in Amsterdam, Tonje Hessen Schei's gripping AI doc "iHuman" drew an audience of more than 700 to a 10 a.m. Many had their curiosity piqued by the film's timely subject matter--the erosion of privacy in the age of new media, and the terrifying leaps being made in the field of machine intelligence--but it's fair to say that quite a few were drawn by the promise of a Skype Q&A with National Security Agency whistleblower Edward Snowden, who made headlines in 2013 by leaking confidential U.S. intelligence to the U.K.'s Guardian newspaper. Snowden doesn't feature in the film, but it couldn't exist without him: "iHuman" is an almost exhausting journey through all the issues that Snowden was trying to warn us about, starting with our civil liberties. Speaking after the film--which he "very much enjoyed"--Snowden admitted that the subject was still raw for him, and that the writing of his autobiography (this year's "Permanent Record"), had not been easy. "It was actually quite a struggle," he revealed.
Maybe every paper abstract should have a mandatory field of what the limitations of the proposed approach are. That way some of the science miscommunications and hypes could maybe be avoided. The media is often tempted to report each tiny new advance in a field, be it AI or nanotechnology, as a great triumph that will soon fundamentally alter our world. Occasionally, of course, new discoveries are underreported. The transistor did not make huge waves when it was first introduced, and few people initially appreciated the full potential of the Internet.
Artificial Intelligence became one of the most prevalent topics in 2019. AI is here to stay thanks to its practical applications in many industries and in our daily life. That's why you should prepare better for our technological future by reading top Artificial Intelligence books. I have divided them into 3 main categories: sociological, philosophical and business-oriented. The most pressing issue is how AI will influence us as a human race and what future it will bring us.
Someday, artificial intelligence could become so advanced that it gains the ability to think creatively -- and, perhaps, so vastly surpasses humanity's artistic abilities that it would have to explain its creations to our squishy, primitive brains. At least, that's one of the predictions that physicist, philosopher, and creativity scholar Arthur Miller makes in his new book, "The Artist in the Machine." The book, released last month, details how machines are starting to demonstrate creativity, from learning to improvise music to pulling together insights from seemingly unrelated fields of research -- and suggests how the trend might continue. Futurism caught up with Miller to chat about his book and his thoughts on art and the future of creativity. While some of the technology Miller describes, like artificial general intelligence, is probably hiding in the distant future, he argues that today's technology may be more creative than most assume.
So, let's start from the basics -- what is Artificial Intelligence? Simply put, AI is the intelligence manifested by machines, rather than humans. Machines that imitate cognitive human functions like learning and problem-solving. Although in one form or another, AI was with us for centuries, one of the most noteworthy discoveries was made by British computer pioneer and AI theorist Alan Turing. Even though in 1950 the term'Artificial Intelligence' hasn't existed yet, he already attempted to answer the question -- Looking for answers, he invented an examination (which is commonly known as the Turing Test) to determine whether a machine is capable of reasoning.
Where you can get it: Buy on Amazon. This book is distributed on the "read first, buy later" principle. The read first, buy later principle implies that you can freely download the book, read it and share it with your friends and colleagues. If you liked the book, only then you have to buy it. Supplement: You can find the companion wiki and the code examples on Github.
Technological Singularity is coming in 2040. Should we be scared of Artificial Intelligence? He did his PhD in Paris at Universite Pierre et Marie Curie, then became a Research Fellow and a lecturer at the University of Oxford. After returning to Poland, he took up research on artificial intelligence and mathematics, and founded a technological group ulam.ai, Within the group he co-founded multiple AI ventures ranging from logistics to the fashion market, and using cutting-edge technologies.