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AAAI Honors High School Students for their AI research
AAAI Honors High School Students for their AI research

... Menlo Park, CA – June 30, 2008. Now in its tenth year, the AAAI Special Awards program at the annual Intel International Science & Engineering Fair (http://sciserv.org/isef/) recognizes outstanding achievement in the areas of intelligent computation and robotics. Finalists in other areas with signif ...
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... human capabilities might amplify the capabilities of automated systems. For all the worry over robots and artificial intelligence eliminating jobs, there are plenty of things that machines still cannot do. The company demonstrated the hardware to MIT Technology Review last week, and says it plans t ...
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... In addition to reframing specific sources of competitive advantage, AI helps increase the rate and quality of decision making. For specific tasks, the number of inputs and the speed of processing for machines can be millions of times higher than they are for humans. Predictive analytics and objecti ...
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... behavior of an existing, say social system, or understanding the way in which decisions are currently being made, one gets to ask a profound question: how should a system for making intelligent decisions be designed? In multi-agent systems we’re often interested, in particular, in what happens when ...
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September 11, 2012 - University of Alberta

... much lower than the value of a human life today. So it may be ethically acceptable to freeze, duplicate, slow-down, modify (brain experiments), or even kill (oneself or other) AIs at will, if they are abundant and/or backups are available, just what we are used to doing with software. So laws preven ...
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... chatbots and personal assistants (see “Teaching Machines to Understand Us”). As a matter of fact, with chatbots and voice assistants becoming more common, and with dramatic progress in areas like image and speech recognition, you might think that machines were getting pretty good at understanding la ...
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... advanced level where machines can be highly smart — say, as smart as humans. Some believe that it is only limited by ingenuity and physics, and progress seems to be accelerating, according to Stuart Russell, chair of the panel discussion, and scientists may soon have a roadmap towards this objective ...
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Intelligence explosion

An intelligence explosion is the expected outcome of the hypothetically forthcoming technological singularity, that is, the result of man building artificial general intelligence (strong AI). Strong AI would be capable of recursive self-improvement leading to the emergence of superintelligence, the limits of which are unknown.The notion of an ""intelligence explosion"" was first described by Good (1965), who speculated on the effects of superhuman machines, should they ever be invented:Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity. If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it would bring to bear greater problem-solving and inventive skills than current humans are capable of. It could then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.
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