Association for the Advancement of Artificial Intelligence Stanford Artificial Intelligence Laboratory 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
Google and NASA Launch Quantum Computing AI Lab Quantum computing took a giant leap forward on the world stage today as NASA and Google, in partnership with a consortium of universities, launched an initiative to investigate how the technology might lead to breakthroughs in artificial intelligence. The new Quantum Artificial Intelligence Lab will employ what may be the most advanced commercially available quantum computer, the D-Wave Two , which a recent study confirmed was much faster than conventional machines at defeating specific problems (see “ D-Wave’s Quantum Computer Goes to the Races, Wins ”). The machine will be installed at the NASA Advanced Supercomputing Facility at the Ames Research Center in Silicon Valley and is expected to be available for government, industrial, and university research later this year. Google believes quantum computing might help it improve its Web search and speech recognition technology. For instance, imagine trying to find the lowest point on a surface covered in hills and valleys.
Physicist Proposes New Way To Think About Intelligence (ISNS) -- A single equation grounded in basic physics principles could describe intelligence and stimulate new insights in fields as diverse as finance and robotics, according to new research. Alexander Wissner-Gross, a physicist at Harvard University and the Massachusetts Institute of Technology, and Cameron Freer, a mathematician at the University of Hawaii at Manoa, developed an equation that they say describes many intelligent or cognitive behaviors, such as upright walking and tool use. The researchers suggest that intelligent behavior stems from the impulse to seize control of future events in the environment. This is the exact opposite of the classic science-fiction scenario in which computers or robots become intelligent, then set their sights on taking over the world. "It's a provocative paper," said Simon DeDeo, a research fellow at the Santa Fe Institute, who studies biological and social systems. "It actually self-determines what its own objective is," said Wissner-Gross.
Google's Ray Kurzweil revs up search focus with AI vision (Phys.org)—The setting: An intimate gathering at Singularity University's NASA campus in Silicon Valley. This is the place founded by Dr. Peter Diamandis and Dr. Ray Kurzweil, pursuing the idea of a new university that could "leverage the power of exponential technologies to solve humanity's grand challenges." Now you know this is worth visiting. Now that inventor Kurzweil is at Google, he is focused on helping his search giant employer to develop the type of artificial intelligence-powered search assistant that could be better than ever. Google's access to what people read and write as mail messages or blog posts can enable this cybernetic friend to bring forth answers without the user asking. "The project that I plan to do is focused on natural language understanding. As the posting of the interview suggested, Kurzweil's work can result in the ability of computers to understand their users with "a quantum leap." Explore further: First steps towards "Experimental Literature 2.0"
Hugo de Garis Hugo de Garis (born 1947, Sydney, Australia) was a researcher in the sub-field of artificial intelligence (AI) known as evolvable hardware. He became known in the 1990s for his research on the use of genetic algorithms to evolve neural networks using three-dimensional cellular automata inside field programmable gate arrays. He claimed that this approach would enable the creation of what he terms "artificial brains" which would quickly surpass human levels of intelligence. He has more recently been noted for his belief that a major war between the supporters and opponents of intelligent machines, resulting in billions of deaths, is almost inevitable before the end of the 21st century.:234 He suggests AIs may simply eliminate the human race, and humans would be powerless to stop them because of technological singularity. De Garis originally studied theoretical physics, but he abandoned this field in favour of artificial intelligence. Evolvable hardware Current research
The emergence of complex behaviors through causal entropic forces (Phys.org) —An ambitious new paper published in Physical Review Letters seeks to describe intelligence as a fundamentally thermodynamic process. The authors made an appeal to entropy to inspire a new formalism that has shown remarkable predictive power. To illustrate their principles they developed software called Entropica, which when applied to a broad class of rudimentary examples, efficiently leads to unexpectedly complex behaviors. By extending traditional definitions of entropic force, they demonstrate its influence on simulated examples of tool use, cooperation, and even stabilizing an upright pendulum. The familiar concept of entropy which states that systems are biased to evolve towards greater disorder, gives little indication about exactly how they evolve. Recently, physicists have begun to explore the idea that proceeding in a direction of maximum instantaneous entropy production is only one among many ways to go.
Literal Smart Dust Opens Brain-Computer Pathway to “Spy on Your Brain” Source: Activist Post Some might have heard about Smart Dust; nanoparticles that can be employed as sensor networks for a rangeof security and environmental applications. Now, however, literal Smart Dust for the brain is being proposed as the next step toward establishing a brain-computer interface. The system is officially called “neural dust” and works to “monitor the brain from the inside.” This paper explores the fundamental system design trade-offs and ultimate size, power, and bandwidth scaling limits of neural recording systems. A network of tiny implantable sensors could function like an MRI inside the brain, recording data on nearby neurons and transmitting it back out. The investment in neuroscience has received a $100 million dollar commitment via Obama’s BRAIN project, while Europe has committed $1.3 billion to build a supercomputer replica of the brain in a similarly comprehensive and detailed fashion as the Human Genome Project mapped DNA.