Re: [agi] AI and Deep Learning Group on Telegram
7 Oct and 15 Oct Prof John Macintyre and Prof Mark Fox's seminars 7 Oct Hong Kong time 9:00-11:30 am Prof Mark Fox, (Distinguished Professor of University of Toronto) Introduction to Knowledge Graphs, Ontologies and Ontology Engineering 15 Oct Hong Kong time 2:30-5:00pm Prof John Macintyre, Pro Vice Chancellor (the University of Sunderland) The Boom of Applied Artificial Intelligence – and the Need for Ethical A.I. PI:Rita Yi Man Li, Shue Yan; Co-I: KW Chau HKU and DCW Ho THEi For details: https://syuconference.wixsite.com/mysite For registration/enquiries: https://www.wjx.cn/jq/90982089.aspx We are also calling for book chapters (State of the art research in artificial intelligence and ubiquitous city) / papers https://ritayimanli.wordpress.com/call-for-papers/ About our FinTech program https://ef.hksyu.edu/Programmes/BCom-in-FinTech and program director https://ritayimanli.wordpress.com/about-me/ -- Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T1e60c6789e8fb401-Mb748b840f6146e884843578d Delivery options: https://agi.topicbox.com/groups/agi/subscription
Re: [agi] There is such a thing as a Free Lunch
On 2020-09-22 12:45:PM, Matt Mahoney wrote: The no free lunch theorem is based on the false premise that it is possible to have a uniform probability distribution over an infinite set. The converse proves Occam's Razor. I don't think that's right. I looked here: https://en.wikipedia.org/wiki/No_free_lunch_theorem#Original_NFL_theorems It plainly says it is talking about a "finite set". -- __ |im |yler http://timtyler.org/ -- Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Ta433301e9ac5fb42-M947268e0299c586fd77941ae Delivery options: https://agi.topicbox.com/groups/agi/subscription
Re: [agi] There is such a thing as a Free Lunch
And it is relevant to the task and equipment that can be used on the task. My point is that there may be issues, like compression, that may be designed specifically for AI or AGI which may work better than more general compression methods. But that also means that they may not be as effective for simple data compression but their general value should be considered within the range of tasks that are needed for AI/AGI. Tasks like finding information relevant to some criteria or for conducting searches through databases and Internet searches, and in combining trial and error learning into knowledge structures. -- Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Ta433301e9ac5fb42-M141fbda615460c9238787b48 Delivery options: https://agi.topicbox.com/groups/agi/subscription
