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Report on Professor Peter Cochrane's Lecture entitled "Why Robots, AI, AL and Quantum Computing?"

Unfortunately, despite my best made plans and intentions, I was unable to attend this lecture, on 23rd January 2020, which promised to be very informative, but reading the synopsis immediately raised some questions in my mind, such as, what does AL in the title stand for ? I have reproduced a copy of the full synopsis from the University of Hertford website below and I am intrigued by the apparent reference to 'AL' in two places as representing 'Artificial LIfe' and not maybe 'Adaptive Learning' or even 'Artificial Learning'.? Please forgive me, but I was not aware that to quote the synopsis: "Artificial Life is being widely deployed in homes, offices, industry and hospitals" !!


Is it just me, or did Professor Cochrane not have the opportunity to write or proof read his own synopsis before it was posted on the University of Hertford web site? Additionally, the scientific accuracy of some of the statements made in the synopsis could be challenged e.g. the reference to "problems that are way beyond any biological brain"... Surely our biological brains are doing an increasingly good job of building more accurate weather models for forecasting and the modelling of 'climate sensitivity to mankind's inputs and behaviours' etc using increasinlgy large data sets, multidisciplned analysis and peer review,  and multiple 'data ensembles' running on powerful modern computing engines - mostly designed and developed by 'biological brains' !!


It is certainly true to say that the raw data crunching power and computational speed of modern computers is far superior to any human brains but surely solving problems is something that we do well and we do fully embrace and we are quite good at - given appropriate conditions, support and resources? 


Copy of University of Hertford website synopsis follows:

Synopsis: Why Robotic, AI, AL and Quantum Computing



It is not by accident that all these technologies appear to have come to prominence at almost the same time. They are all driven, and enabled, by the same hardware platforms using silicon chips with densities and performance that now rival many biological lifeforms. Their ability to support increasingly complex software has seen AI and robotics become major industrial and medical tools.  At the same time, Artificial Life is being widely deployed in homes, offices, industry and hospitals, whilst Quantum Computing promises to be the next big man and machine enabler.



So why are these technologies so important? In short; they allow us to tackle and understand the most difficult problems facing our species.  And all of these are complex, non-linear, with emergent properties that defy our mathematical and computing frameworks.  Problems that are way beyond any biological brain include: protein folding; stem cell behaviours; drug interactions; the understanding of chemistry, biology, seismic activity, and weather systems, pollution and global warming; plus the creation of new materials, device, machine and building design.



At a fundamental level, it turns out that Robotics, Artificial Intelligent, Artificial Life, and Quantum Computing are essential for the creation of sustainable societies.



End - - - - - - - - 



Notwithstanding the above, is there a copy of the text or video of the presentation, or maybe even some powerpoint sildes available for our post lecture edification that might enlighten my understanding of this very important subject?



  • Former Community Member
    0 Former Community Member
    Ready! I have found it most interesting, indeed! Thank you! I have added something more!
    https://www.slideshare.net/PeterCochrane/why-robotics-ai-al-quantum-computing
    https://interestingengineering.com/google-says-that-they-have-just-reached-quantum-supremacy












  • Many thanks Lucciano, for sending the link from a previous lecture. I note that the synopsis for this lecture is substantially better written than the one on the Hetrfordshire website. My puzzlement is now fully satisfied. HOWEVER even a brief scan through the 57 lecture slides is fascinating and it is clear that Professor Peter is indeed a very well read scholar as well as a pragmatist. I am both encouraged and dismayed to read his revelations but on the plus side I especially like his supposition that with the development of Artificial Intelligence may actually be used to help us, to  better and more fully understand the workings of our own brains and thus continue to make progress in many fields of human endeavour, unlimited by the confines of our 23 Billion Neurological Processors.

    As an aside I must say that it is widely held that we typically only appear to use a very small percentage of our total brain mass in our daily lives, so maybe there is still hope that we may yet see many more truly great, altruistic thinkers who are encouraged and supported by society in the future years and not fearfully 'suppressed and silenced' for selfish, political reasons.

    Enough said - I can already sense that a new discussion thread is about to be launched in this and other forums...???
  • Former Community Member
    0 Former Community Member

     I think this should be the starting point:
    Risks Principle: Risks posed by AI systems, especially catastrophic or existential risks, must be subject to planning and mitigation efforts commensurate with their expected impact.

    We don’t know what the future of artificial intelligence will look like. Though some may make educated guesses, the future is unclear.

    Can We Properly Prepare for the Risks of Superintelligent AI?


  • Former Community Member
    0 Former Community Member
    More:
    https://futurism.com/why-quantum-supremacy-matters

    And:
    https://www.theverge.com/2017/9/4/16251226/russia-ai-putin-rule-the-world