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  2. AI capability control - Wikipedia

    en.wikipedia.org/wiki/AI_capability_control

    For example, an extremely advanced system of this sort, given the sole purpose of solving the Riemann hypothesis, an innocuous mathematical conjecture, could decide to try to convert the planet into a giant supercomputer whose sole purpose is to make additional mathematical calculations (see also paperclip maximizer).

  3. Moravec's paradox - Wikipedia

    en.wikipedia.org/wiki/Moravec's_paradox

    Moravec's paradox is the observation in the fields of artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources.

  4. Instrumental convergence - Wikipedia

    en.wikipedia.org/wiki/Instrumental_convergence

    The Riemann hypothesis catastrophe thought experiment provides one example of instrumental convergence. Marvin Minsky, the co-founder of MIT's AI laboratory, suggested that an artificial intelligence designed to solve the Riemann hypothesis might decide to take over all of Earth's resources to build supercomputers to help achieve its goal. [2]

  5. The ability to control the Casimir effect in this way could be a big breakthrough for engineering nanotechnology, which is often designed with the Casimir effect in mind.

  6. Intelligent control - Wikipedia

    en.wikipedia.org/wiki/Intelligent_control

    Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.

  7. Self-reconfiguring modular robot - Wikipedia

    en.wikipedia.org/wiki/Self-reconfiguring_modular...

    Modular self-reconfiguring robotic systems or self-reconfigurable modular robots are autonomous kinematic machines with variable morphology. Beyond conventional actuation, sensing and control typically found in fixed-morphology robots, self-reconfiguring robots are also able to deliberately change their own shape by rearranging the connectivity of their parts, in order to adapt to new ...

  8. Recursive self-improvement - Wikipedia

    en.wikipedia.org/wiki/Recursive_self-improvement

    Recursive self-improvement (RSI) is a process in which an early or weak artificial general intelligence (AGI) system enhances its own capabilities and intelligence without human intervention, leading to a superintelligence or intelligence explosion.

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