June 23, 2011 10:58pm EST Last week, the state of Nevada passed a bill that will require its state Department of Motor Vehicles to draw up rules for self-driving cars, essentially paving the way for autonomous vehicles to be used on state roadways. Section 8 of the law, which governs autonomous vehicles, will take effect on March 1, 2012. It was approved by Nevada Governor Brian Sandoval on June 16. Self-driving cars have been tested by Google since 2010 , and most recently by Volkswagen, whose Temporary Auto Pilot (TAP) car is part of a research project in the EU, but with what the company describes as "production-ready" components. Nevada defines "autonomous vehicle" as a motor vehicle that uses artificial intelligence, sensors and global positioning system coordinates to drive itself without the active intervention of a human operator.
When robots talk to each other, they're not generally using language as we think of it, with words to communicate both concrete and abstract concepts. Now Australian researchers are teaching a pair of robots to communicate linguistically like humans by inventing new spoken words, a lexicon that the roboticists can teach to other robots to generate an entirely new language. Ruth Schulz and her colleagues at the University of Queensland and Queensland University of Technology call their robots the Lingodroids. The robots consist of a mobile platform equipped with a camera, laser range finder, and sonar for mapping and obstacle avoidance.
An artificial neural network , often just named a neural network , is a mathematical model inspired by biological neural networks . A neural network consists of an interconnected group of artificial neurons , and it processes information using a connectionist approach to computation . In most cases a neural network is an adaptive system changing its structure during a learning phase. Neural networks are used for modeling complex relationships between inputs and outputs or to find patterns in data.
Artificial intelligence marketing (AIM) is a form of direct marketing leveraging database marketing techniques as well as AI concept and model such as machine learning and Bayesian Network . The main difference resides in the reasoning part which suggests it is performed by computer and algorithm instead of human. [ edit ] Behavioral targeting Artificial intelligence marketing provides a set of tools and techniques that enable behavioral targeting . [ edit ] Collect, reason, act Artificial intelligence marketing principle is based on the perception - reasoning -action cycle you find in cognitive science .
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One of best presentations at IBM’s recent Blogger Day was given by David Ferrucci , the leader of the Watson team, the group that developed the supercomputer that recently appeared as a contestant on Jeopardy . To many people, the Turing test is the gold standard of artificial intelligence. Put briefly, the idea is that if you can’t tell whether you’re interacting with a computer or a human, a computer has passed the test.
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:
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. From .CSV: 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.
The Machine Intelligence Research Institute ( MIRI ) is a non-profit organization founded in 2000 to develop safe artificial intelligence software, and to raise awareness of both the dangers and potential benefits it believes AI presents. The organization advocates ideas initially put forth by I. J. Good and Vernor Vinge regarding an " intelligence explosion ", or Singularity , which is predicted to follow the creation of sufficiently advanced AI. In their view, the potential benefits and risks of this event necessitate the search for solutions to problems involving AI goal systems to ensure powerful AIs are not dangerous when they are created. [ 1 ] [ 2 ] MIRI espouses the Friendly AI model created by its co-founder Eliezer Yudkowsky as a potential solution to such problems. [ 3 ] MIRI was formerly known as the Singularity Institute, and before that the Singularity Institute for Artificial Intelligence.