New algorithms and hardware technology offer possibilities for the pre-detection of terrorism far beyond even the imagination and salesmanship of people hoping to apply forms of deep learning studied in the IEEE Computational Intelligence Society (CIS) decades ago. For example, new developments in Analog Quantum Computing (AQC) give us a concrete pathway to options like a forwards time camera or backwards time telegraph, a pathway which offers about a 50% probability of success for a well-focused effort over just a few years. However, many of the new technologies come with severe risks, and/or important opportunities in other sectors. This paper discusses the possibilities, risks and tradeoffs relevant to several different forms of terrorism.
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