Watson

Artificial intelligence: two common misconceptions Recent comments by Elon Musk and Stephen Hawking, as well as a new book on machine superintelligence by Oxford professor Nick Bostrom, have the media buzzing with concerns that artificial intelligence (AI) might one day pose an existential threat to humanity. Should we be worried? Let’s start with expert opinion. AI scientists strongly expect “high-level machine intelligence” (HLMI) — that is, AI that “can carry out most human professions at least as well as a typical human” — to be built sometime this century. First, should we trust expert opinion on the timing of HLMI and machine superintelligence? But can we do better than expert opinion? Given this uncertainty, we should be skeptical both of confident claims that HLMI is coming soon and of confident claims that HLMI is very far away. Second, what about social impact? The case for AI as an existential threat worth addressing today doesn’t assume HLMI is coming soon, nor that AI capabilities improve “exponentially.”

The AI Revolution: Road to Superintelligence PDF: We made a fancy PDF of this post for printing and offline viewing. Buy it here. (Or see a preview.) Note: The reason this post took three weeks to finish is that as I dug into research on Artificial Intelligence, I could not believe what I was reading. It hit me pretty quickly that what’s happening in the world of AI is not just an important topic, but by far THE most important topic for our future. We are on the edge of change comparable to the rise of human life on Earth. — Vernor Vinge What does it feel like to stand here? It seems like a pretty intense place to be standing—but then you have to remember something about what it’s like to stand on a time graph: you can’t see what’s to your right. Which probably feels pretty normal… The Far Future—Coming Soon Imagine taking a time machine back to 1750—a time when the world was in a permanent power outage, long-distance communication meant either yelling loudly or firing a cannon in the air, and all transportation ran on hay. 1. Speed.

Watson (computer) Watson is an artificially intelligent computer system capable of answering questions posed in natural language,[2] developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci. Watson was named after IBM's first CEO and industrialist Thomas J. Watson.[3][4] The computer system was specifically developed to answer questions on the quiz show Jeopardy! Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage[8] including the full text of Wikipedia,[9] but was not connected to the Internet during the game.[10][11] For each clue, Watson's three most probable responses were displayed on the television screen. The high-level architecture of IBM's DeepQA used in Watson[14] According to IBM, "more than 100 different techniques are used to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses When playing Jeopardy!

Peering into the Future: AI and Robot brains In Singularity or Transhumanism: What Word Should We Use to Discuss the Future? on Slate, Zoltan Istvan writes: "The singularity people (many at Singularity University) don't like the term transhumanism. Transhumanists don't like posthumanism. Posthumanists don’t like cyborgism. And cyborgism advocates don't like the life extension tag. See what the proponents of these words mean by them and why the old talmudic rabbis and jesuits are probably laughing their socks off. Progress toward AI? Baby X, a 3D-simulated human child is getting smarter day by day. "An experiment in machine learning, Baby X is a program that imitates the biological processes of learning, including association, conditioning and reinforcement learning. This is precisely the sixth approach to developing AI that is least discussed by “experts” in the field… and that I have long believed to be essential, in several ways. It's coming. Meet Jibo, advertised as "the world's first family robot." Creating Superintelligence

Guy Hoffman Computers, A.I. Stanford to Research the effects of Artificial Intelligence What will intelligent machines mean for society and the economy in 30, 50 or even 100 years from now? That’s the question that Stanford University scientists are hoping to take on with a new project, the One Hundred Year Study on Artificial Intelligence (AI100). “If your goal is to create a process that looks ahead 30 to 50 to 70 years, it’s not altogether clear what artificial intelligence will mean, or how you would study it,” said Russ Altman, a professor of bioengineering and computer science at Stanford. The future, and potential, of artificial intelligence has come under fire and increasing scrutiny in the past several months after both renowned physicist, cosmologist and author Stephen Hawking and high-tech entrepreneur Elon Musk warned of what they perceive as a mounting danger from developing AI technology. Musk, speaking at an MIT symposium in October, said scientists should be careful about developing AI technology. Written By: Sharon Gaudin Article Source: ITWorld.com

Stephen Hawking, Elon Musk, and Bill Gates Warn About Artificial Intelligence Hillary Clinton at the Iowa State Fair on August 15, 2015 in Des Moines, Iowa. (Photo by Win McNamee/Getty Images) The meme that now seems to be dominating much of the media coverage of the Democratic Primary is that pundits and experts are underestimating Bernie Sanders’s chances of winning the Democratic nomination for president. Currently, Mr. Sanders is receiving so much press for being underrated that he has become overrated. Mr. Recency bias is essentially the tendency to predict upcoming events based too heavily on recent history, rather than a broader sample. Selection bias is a more general tendency to pick cases to support an argument rather than looking at the broader universe of cases or to make a random sample. Is Al Gore Hillary circa 2000? Competitive primaries make great drama and exciting story lines. This time lapse is only of the reasons primaries, despite the media they receive still remain, misunderstood. While Ms.

! Introduction to NeuroAesthetics !