Minsky died of a cerebral hemorrhage at the age of 88.[40] <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-40> Ray Kurzweil <https://en.wikipedia.org/wiki/Ray_Kurzweil> says he was contacted by the cryonics organization Alcor Life Extension Foundation <https://en.wikipedia.org/wiki/Alcor_Life_Extension_Foundation> seeking Minsky's body.[41] <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-Kurzweil-41> Kurzweil believes that Minsky was cryonically preserved by Alcor and will be revived by 2045.[41] <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-Kurzweil-41> Minsky was a member of Alcor's Scientific Advisory Board <https://en.wikipedia.org/wiki/Advisory_Board>.[42] <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-AlcorBoard-42> In keeping with their policy of protecting privacy, Alcor will neither confirm nor deny that Alcor has cryonically preserved Minsky.[43] <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-43>
We better do a good job. On Friday, August 5, 2016 at 4:45:42 PM UTC-3, Kevin Liu wrote: > > *So, I think in the next 20 years (2003), if we can get rid of all of the > traditional approaches to artificial intelligence, like neural nets and > genetic algorithms and rule-based systems, and just turn our sights a > little bit higher to say, can we make a system that can use all those > things for the right kind of problem? Some problems are good for neural > nets; we know that others, neural nets are hopeless on them. Genetic > algorithms are great for certain things; I suspect I know what they're bad > at, and I won't tell you. (Laughter)* - Minsky, founder of CSAIL MIT > > *Those programmers tried to find the single best way to represent > knowledge - Only Logic protects us from paradox.* - Minsky (see > attachment from his lecture) > > On Friday, August 5, 2016 at 8:12:03 AM UTC-3, Kevin Liu wrote: >> >> Markov Logic Network is being used for the continuous development of >> drugs to cure cancer at MIT's CanceRX <http://cancerx.mit.edu/>, on >> DARPA's largest AI project to date, Personalized Assistant that Learns >> (PAL) <https://pal.sri.com/>, progenitor of Siri. One of Alchemy's >> largest applications to date was to learn a semantic network (knowledge >> graph as Google calls it) from the web. >> >> Some on Probabilistic Inductive Logic Programming / Probabilistic Logic >> Programming / Statistical Relational Learning from CSAIL >> <http://people.csail.mit.edu/kersting/ecmlpkdd05_pilp/pilp_ida2005_tut.pdf> >> (my >> understanding is Alchemy does PILP from entailment, proofs, and >> interpretation) >> >> The MIT Probabilistic Computing Project (where there is Picture, an >> extension of Julia, for computer vision; Watch the video from Vikash) >> <http://probcomp.csail.mit.edu/index.html> >> >> Probabilistic programming could do for Bayesian ML what Theano has done >> for neural networks. <http://www.inference.vc/deep-learning-is-easy/> - >> Ferenc Huszár >> >> Picture doesn't appear to be open-source, even though its Paper is >> available. >> >> I'm in the process of comparing the Picture Paper and Alchemy code and >> would like to have an open-source PILP from Julia that combines the best of >> both. >> >> On Wednesday, August 3, 2016 at 5:01:02 PM UTC-3, Christof Stocker wrote: >>> >>> This sounds like it could be a great contribution. I shall keep a >>> curious eye on your progress >>> >>> Am Mittwoch, 3. August 2016 21:53:54 UTC+2 schrieb Kevin Liu: >>>> >>>> Thanks for the advice Cristof. I am only interested in people wanting >>>> to code it in Julia, from R by Domingos. The algo has been successfully >>>> applied in many areas, even though there are many other areas remaining. >>>> >>>> On Wed, Aug 3, 2016 at 4:45 PM, Christof Stocker <stocker....@gmail.com >>>> > wrote: >>>> >>>>> Hello Kevin, >>>>> >>>>> Enthusiasm is a good thing and you should hold on to that. But to save >>>>> yourself some headache or disappointment down the road I advice a level >>>>> head. Nothing is really as bluntly obviously solved as it may seems at >>>>> first glance after listening to brilliant people explain things. A >>>>> physics >>>>> professor of mine once told me that one of the (he thinks) most malicious >>>>> factors to his past students progress where overstated >>>>> results/conclusions >>>>> by other researches (such as premature announcements from CERN). I am no >>>>> mathematician, but as far as I can judge is the no free lunch theorem of >>>>> pure mathematical nature and not something induced empirically. These >>>>> kind >>>>> of results are not that easily to get rid of. If someone (especially an >>>>> expert) states such a theorem will prove wrong I would be inclined to >>>>> believe that he is not talking about literally, but instead is just >>>>> trying >>>>> to make a point about a more or less practical implication. >>>>> >>>>> >>>>> Am Mittwoch, 3. August 2016 21:27:05 UTC+2 schrieb Kevin Liu: >>>>>> >>>>>> The Markov logic network represents a probability distribution over >>>>>> the states of a complex system (i.e. a cell), comprised of entities, >>>>>> where >>>>>> logic formulas encode the dependencies between them. >>>>>> >>>>>> On Wednesday, August 3, 2016 at 4:19:09 PM UTC-3, Kevin Liu wrote: >>>>>>> >>>>>>> Alchemy is like an inductive Turing machine, to be programmed to >>>>>>> learn broadly or restrictedly. >>>>>>> >>>>>>> The logic formulas from rules through which it represents can be >>>>>>> inconsistent, incomplete, or even incorrect-- the learning and >>>>>>> probabilistic reasoning will correct them. The key point is that >>>>>>> Alchemy >>>>>>> doesn't have to learn from scratch, proving Wolpert and Macready's no >>>>>>> free >>>>>>> lunch theorem wrong by performing well on a variety of classes of >>>>>>> problems, >>>>>>> not just some. >>>>>>> >>>>>>> On Wednesday, August 3, 2016 at 4:01:15 PM UTC-3, Kevin Liu wrote: >>>>>>>> >>>>>>>> Hello Community, >>>>>>>> >>>>>>>> I'm in the last pages of Pedro Domingos' book, the Master Algo, one >>>>>>>> of two recommended by Bill Gates to learn about AI. >>>>>>>> >>>>>>>> From the book, I understand all learners have to represent, >>>>>>>> evaluate, and optimize. There are many types of learners that do this. >>>>>>>> What >>>>>>>> Domingos does is generalize these three parts, (1) using Markov Logic >>>>>>>> Network to represent, (2) posterior probability to evaluate, and (3) >>>>>>>> genetic search with gradient descent to optimize. The posterior can be >>>>>>>> replaced for another accuracy measure when it is easier, as genetic >>>>>>>> search >>>>>>>> replaced by hill climbing. Where there are 15 popular options for >>>>>>>> representing, evaluating, and optimizing, Domingos generalized them >>>>>>>> into >>>>>>>> three options. The idea is to have one unified learner for any >>>>>>>> application. >>>>>>>> >>>>>>>> There is code already done in R https://alchemy.cs.washington.edu/. >>>>>>>> My question: anybody in the community vested in coding it into Julia? >>>>>>>> >>>>>>>> Thanks. Kevin >>>>>>>> >>>>>>>> On Friday, June 3, 2016 at 3:44:09 PM UTC-3, Kevin Liu wrote: >>>>>>>>> >>>>>>>>> https://github.com/tbreloff/OnlineAI.jl/issues/5 >>>>>>>>> >>>>>>>>> On Friday, June 3, 2016 at 11:17:28 AM UTC-3, Kevin Liu wrote: >>>>>>>>>> >>>>>>>>>> I plan to write Julia for the rest of me life... given it remains >>>>>>>>>> suitable. I am still reading all of Colah's material on nets. I ran >>>>>>>>>> Mocha.jl a couple weeks ago and was very happy to see it work. >>>>>>>>>> Thanks for >>>>>>>>>> jumping in and telling me about OnlineAI.jl, I will look into it >>>>>>>>>> once I am >>>>>>>>>> ready. From a quick look, perhaps I could help and learn by building >>>>>>>>>> a very >>>>>>>>>> clear documentation of it. Would really like to see Julia a leap >>>>>>>>>> ahead of >>>>>>>>>> other languages, and plan to contribute heavily to it, but at the >>>>>>>>>> moment am >>>>>>>>>> still getting introduced to CS, programming, and nets at the basic >>>>>>>>>> level. >>>>>>>>>> >>>>>>>>>> On Friday, June 3, 2016 at 10:48:15 AM UTC-3, Tom Breloff wrote: >>>>>>>>>>> >>>>>>>>>>> Kevin: computers that program themselves is a concept which is >>>>>>>>>>> much closer to reality than most would believe, but julia-users >>>>>>>>>>> isn't >>>>>>>>>>> really the best place for this speculation. If you're actually >>>>>>>>>>> interested >>>>>>>>>>> in writing code, I'm happy to discuss in OnlineAI.jl. I was >>>>>>>>>>> thinking about >>>>>>>>>>> how we might tackle code generation using a neural framework I'm >>>>>>>>>>> working >>>>>>>>>>> on. >>>>>>>>>>> >>>>>>>>>>> On Friday, June 3, 2016, Kevin Liu <kvt...@gmail.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> If Andrew Ng who cited Gates, and Gates who cited Domingos (who >>>>>>>>>>>> did not lecture at Google with a TensorFlow question in the end), >>>>>>>>>>>> were >>>>>>>>>>>> unsuccessful penny traders, Julia was a language for web design, >>>>>>>>>>>> and the >>>>>>>>>>>> tribes in the video didn't actually solve problems, perhaps this >>>>>>>>>>>> would be a >>>>>>>>>>>> wildly off-topic, speculative discussion. But these statements >>>>>>>>>>>> couldn't be >>>>>>>>>>>> farther from the truth. In fact, if I had known about this video >>>>>>>>>>>> some >>>>>>>>>>>> months ago I would've understood better on how to solve a problem >>>>>>>>>>>> I was >>>>>>>>>>>> working on. >>>>>>>>>>>> >>>>>>>>>>>> For the founders of Julia: I understand your tribe is mainly >>>>>>>>>>>> CS. This master algorithm, as you are aware, would require >>>>>>>>>>>> collaboration >>>>>>>>>>>> with other tribes. Just citing the obvious. >>>>>>>>>>>> >>>>>>>>>>>> On Friday, June 3, 2016 at 10:21:25 AM UTC-3, Kevin Liu wrote: >>>>>>>>>>>>> >>>>>>>>>>>>> There could be parts missing as Domingos mentions, but >>>>>>>>>>>>> induction, backpropagation, genetic programming, probabilistic >>>>>>>>>>>>> inference, >>>>>>>>>>>>> and SVMs working together-- what's speculative about the improved >>>>>>>>>>>>> versions >>>>>>>>>>>>> of these? >>>>>>>>>>>>> >>>>>>>>>>>>> Julia was made for AI. Isn't it time for a consolidated view >>>>>>>>>>>>> on how to reach it? >>>>>>>>>>>>> >>>>>>>>>>>>> On Thursday, June 2, 2016 at 11:20:35 PM UTC-3, Isaiah wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>> This is not a forum for wildly off-topic, speculative >>>>>>>>>>>>>> discussion. >>>>>>>>>>>>>> >>>>>>>>>>>>>> Take this to Reddit, Hacker News, etc. >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Thu, Jun 2, 2016 at 10:01 PM, Kevin Liu <kvt...@gmail.com> >>>>>>>>>>>>>> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> I am wondering how Julia fits in with the unified tribes >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> mashable.com/2016/06/01/bill-gates-ai-code-conference/#8VmBFjIiYOqJ >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> https://www.youtube.com/watch?v=B8J4uefCQMc >>>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>
