Machine Intelligence Research Institute The Machine Intelligence Research Institute (MIRI) is a non-profit organization founded in 2000 to research safety issues related to the development of Strong AI. The organization advocates ideas initially put forth by I. J. History In 2000, Eliezer Yudkowsky and Internet entrepreneurs Brian and Sabine Atkins founded the Singularity Institute for Artificial Intelligence to "help humanity prepare for the moment when machine intelligence exceeded human intelligence". At first, it operated primarily over the Internet, receiving financial contributions from transhumanists and futurists. In 2002, it published on its website the paper Levels of Organization in General Intelligence, a preprint of a book chapter later included in a compilation of general AI theories, entitled "Artificial General Intelligence" (Ben Goertzel and Cassio Pennachin, eds.). The 2007 Singularity Summit took place on September 8-September 9, 2007, at the Palace of Fine Arts Theatre, San Francisco.
Most significant present-day AI developments Codecademy Labs Artificial Intelligence Artificial Intelligence (AI) is the study of how computer systems can simulate intelligent processes such as learning, reasoning, and understanding symbolic information in context. AI is inherently a multi-disciplinary field. Although it is most commonly viewed as a subfield of computer science, and draws upon work in algorithms, databases, and theoretical computer science, AI also has close connections to the neurosciences, cognitive science and cognitive psychology, mathematical logic, and engineering. IBM has been a leader in AI since AI's earliest days, when Arthur Samuels (in the 1950s) developed an expert checkers-playing program that learned from experience. Forty years later, IBM Research's chess-playing program Deep Blue made history by beating world chess champion Gary Kasparov. AI Research at IBM goes far beyond game-playing programs and is at the forefront of many of the hottest areas of Artificial Intelligence. Projects Agent Building and Learning Environment Personal Wizards
Stephen Hawking: 'Transcendence looks at the implications of artificial intelligence - but are we taking AI seriously enough?' - Science - News Artificial-intelligence (AI) research is now progressing rapidly. Recent landmarks such as self-driving cars, a computer winning at Jeopardy! and the digital personal assistants Siri, Google Now and Cortana are merely symptoms of an IT arms race fuelled by unprecedented investments and building on an increasingly mature theoretical foundation. Such achievements will probably pale against what the coming decades will bring. The potential benefits are huge; everything that civilisation has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide, but the eradication of war, disease, and poverty would be high on anyone's list. Loading gallery In pictures: Landmarks in AI development 1 of 4 Unfortunately, it might also be the last, unless we learn how to avoid the risks. Johnny Depp plays a scientist who is shot by Luddites in 'Transcendence' (Alcon)
Steve Steinberg on weak AI Steve Steinberg, former Legion of Doom member and current Wall Street hacker, posted a rare update to his .CSV blog, and it's a doozy. He unpacks two big developments in "weak" artificial intelligence that manage to slip under the radar, mostly because they don't involve emotional robots or bring The Singularity a few days closer. Along the way, he shreds insurance companies that seek to correlate bad credit with bad driving, and pokes at Google's trust of "man over machine," a "cultural quirk," as Steve puts it, that's overlooked amidst all the talk of algorithms and massive data sets. While strong AI still lies safely beyond the Maes-Garreau horizon (a vanishing point, perpetually fifty years ahead) a host of important new developments in weak AI are poised to be commercialized in the next few years. "new developments in AI"
Programming, Motherfucker - Do you speak it? VUB Artificial Intelligence Lab 6 Mashups of Music and Artificial Intelligence | Epicenter If there is one thing computers do well, it’s math. All of music’s raw components — key, mode, melody, harmony and rhythm — can be expressed mathematically. As a result, computers can help people make music, even if they don’t know their elbow from an F clef. The following apps for computer, web browser and smartphone put the power of artificially intelligent music creation in your hands or let you hear music that was created or manipulated by machines. Without further ado: uJam One of the most impressive demonstrations I’ve seen this year, uJam is the brainchild of longtime audio-software developers Peter Gorges and Axel Hensen and their celebrity partners Hans Zimmer (film composer for Dark Knight, Gladiator, Lion King) and Pharrell Williams (producer for Madonna, Shakira, Gwen Stefani). Following the freemium model, uJam will be free to use on a basic level, with add-ons available for purchase. Emily Howell You can’t use the artificially intelligent Emily Howell software yourself.