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artificial general intelligence

Empathy in Artificial Intelligence


What do you think when someone asks you about empathy? Do you struggle to find its meaning or does it come to you naturally? In the age of artificial intelligence, do our AI systems need empathy? If so, what are some use cases where empathy can be most helpful in AI Systems? When we read a book out loud to our children, they can hear the emotions we imbue into the passages.

Data science dominates LinkedIn's emerging jobs ranking ZDNet


LinkedIn data shows that hiring growth has grown 74% in the past four years. The job requires skills in machine learning, deep learning, TensorFlow, Python and natural language processing. Industries hiring include computer software, internet, IT, higher education and consumer electronics. What is artificial general intelligence? This role has hiring growth of 40% over the last four years, according to LinkedIn.

Reinforcement Learning, Deep Learning's Partner


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.

Achieving Artificial General Intelligence (AGI) using Self Models


"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.

Edward Snowden on the Dangers of Mass Surveillance and Artificial General Intelligence


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.

An Epidemic of AI Misinformation


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.

Latent Semantic Search and Information Extraction Architecture Artificial Intelligence

The motivation, concept, design and implementation of latent semantic search for search engines have limited semantic search, entity extraction and property attribution features, have insufficient accuracy and response time of latent search, may impose privacy concerns and the search results are unavailable in offline mode for robotic search operations. The alternative suggestion involves autonomous search engine with adaptive storage consumption, configurable search scope and latent search response time with built-in options for entity extraction and property attribution available as open source platform for mobile, desktop and server solutions. The suggested architecture attempts to implement artificial general intelligence (AGI) principles as long as autonomous behaviour constrained by limited resources is concerned, and it is applied for specific task of enabling Web search for artificial agents implementing the AGI.

Someday, robot artists may have to explain their creations to 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.

The 4 most asked questions about AI and answers to them


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.