W hen I was finishing high school in the early 1970s, the closest normal people got to computers was using a teletype. These electromechan-ical monsters could convert bits received at glacially slow (110 baud) telephone rates into a veritable caco-phany of sound. This acoustic din was produced by lots of metal parts slamming into a paper roll somewhere inside the machine. The paper was the same...

thinking, 6action space, 41actions, 40, 72Acton, Lord, 137Adams, S., 136Adaptive Intelligence Inc., 19agentactive, 39AIXI, 48, 82, 93, 109, 137choose own goals, 92formal, 42human, 83informal, 40optimal, 45passive, 39random, 78self-optimising, 50, 64simple, 80specialised, 79super intelligent, 82agent-environment mode...

The relation between signals and symbols is a central problem for acoustic signal processing. Among different kind of signals, musical signals are specific examples in which there is some information regarding the underlying symbolic structure. While an impressive amount of research has been done in this domain in the past thirty years, the symbolic processing of acoustic and musical signals is...

There exists a theory of a single general-purpose learning algorithm which could explain the principles of its operation. This theory assumes that the brain has some initial rough architecture, a small library of simple innate circuits which are prewired at birth and proposes that all significant mental algorithms can be learned. Given current understanding and observations, this paper reviews ...

ion interpretation P, V, T mathematical objects ------gas

The next decade will see a deep transformation of industrial applications by big data analytics, machine learning and the internet of things. Industrial applications have a number of unique features, setting them apart from other domains. Central for many industrial applications in the internet of things is time series data generated by often hundreds or thousands of sensors at a high rate, e.g...