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Today is a rare
#PalindromeDay: 02 02 2020 It’s also#GroundhogDay and also the 33rd day of the year with 333 days left - maybe we’ll soon go into a time loop like Bill Murray in the 90s :) The last palindrome date was 909 years ago on 11/11/1111, the next on 12/12/2121!pic.twitter.com/xIIvTHTUpX
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For those interested in understanding cause and effect have a look at
@yudapearl new article summary page!https://twitter.com/yudapearl/status/1223000727569616896 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
An international panel discussion about ‘How will A.I shape an evolving job market?’ & Understanding the paradigm shift in the job market. The panel included Jorge Sebastio,
@bengoertzel & myself. https://youtu.be/K8dsLSJq7-M#ai#ArtificailIntelligenceHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Coronavirus patient being treated by a robot - truly useful application of
#AI and points to the future of medical care esp in critical cases https://cnn.it/2RCARh7@UmnaiBase@NoelSharkeyHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
My interview with Coin Geek at the
@AIBCsummit 2019! “We are seeing more and more practical technologies affecting all industries such as health care and payments and making it easier for everyone to use it....”@RealCoinGeek !#aihttp://tiny.cc/dge0izHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
After around thirty years learning from and knowing Ġorġ Mallia I finally have my own cartoon sketch! Am happy to announce that 111 Art will be hosting an exhibition of his works on 6th March - more details to follow soon!
#art#AI#artgallerypic.twitter.com/hE1niIHE83
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Check out my latest interview where I am discussing - what the real uses of AI are, my thoughts on merging regulation & AI and whether AI can help humanity make tough decisions. Let me know your thoughts on these advancing factors. https://youtu.be/Zi6BXHNYWCU
#artificialintelligenceHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Happy to have been in the ‘Top 10 most viewed interviews of the decade’ for technology, artificial intelligence, igaming and more on Calvin Ayre with Becky Fontana. This took place in 2014, check it out here! https://calvinayre.com/2019/12/26/business/beckys-affiliated-top-10-most-viewed-interviews-of-the-decade/ …
#ai#ArtificialIntelligence@CalvinAyreNewsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
What is Umnai? Check out this short interview about Umnai and its impact on the Artificial Intelligence field!
#ai#artificialintelligencehttps://youtu.be/B2UNo247KT0Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Business Angels Malta Launch featured on
@EBAN_org’s website! Check it out herehttp://www.eban.org/business-angels-malta-launch-a-great-step-for-the-mediterranean-country …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#AI that can analyse satellite imagery is being restricted for export by the US. Do you think this overly restrictive or completely justified?#AIDebate@NoelSharkeyhttp://bit.ly/39K3orWHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Awesome result from
@jaaanaru showing that human neurons can compute XOR - in plain English: proof that our brains are effective computers :) Not seen in other species! Huge boost for AI neural models!@GaryMarcus@yudapearl@NoelSharkey@sciencemagazine@mattlark@YiotaPoirazihttps://twitter.com/jaaanaru/status/1212810741549600768 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Balanced discussion between
@ylecun &@yudapearl that makes sense. Hope that in 2020 ppl will help find the strengths and limits of different tools available and combine them in a superior way for future AI.#AIDebate@GaryMarcus@Montreal_AI@Quebec_AIhttps://twitter.com/ylecun/status/1211701332031213568 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Missing in
#AIDebate is EXPLAINABILITY - DL or some hybrid future#AI needs to explain itself. How else would an AI system prove that it actually understands whatever it’s being trained on?@DARPA#XAI objectives could be priors?@GaryMarcus@Montreal_AI@Quebec_AI@ylecunpic.twitter.com/Bh80LGfBKC
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2/2 some things like
@yudapearl Causal Logic, symbolic logic, rule systems are not part of DL. I strongly believe joining these up will give the best results. Swallow pride on all sides and call it something else :) Recommend http://bit.ly/SchmidhuberDL for independent opinionPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Interesting redefinition of Deep Learning by Yoshua Bengio - emphasis on gradient descent methods is out and now DL encompasses all neural networks... there’s a need to classify types of systems to know their limitations!
#AIDebate continues!@Montreal_AI@Quebec_AI@GaryMarcuspic.twitter.com/0ucZTs5owI
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Key takeaway from
@GaryMarcus and Bengio#AIDebate:#AI systems need to have inbuilt prior knowledge like basic physics, inferencing, cause & effect, explanation capabilities, etc to go beyond current DL limits. Then using some future algorithm to generalize, learn & understandpic.twitter.com/n24rVdHLU9
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Bengio’s version of Occam’s razor: Consistent generative future AI systems should *start off with the least number of priors* — would these minimal priors be the start of a causal graph that can handle most common sense situations? Do
@ylecun findings hold?#AIDebate@yudapearlpic.twitter.com/9BMLQcRxBz
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“We need to avoid pitfalls of classical AI rule based symbol manipulation, with changes handled using causality to allow deep learning to go beyond training data and generalize. Efficient search & neural net symbol reps allow for richer processing” - Yoshua Bengio
#AIDebatepic.twitter.com/sRB466Rorn
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“Going forward
#AI researchers should be working on compositionality, reasoning, causality, hybrid models, and extrapolation beyond the training space”@GaryMarcus@Montreal_AI#AIDebate@yudapearl@NoelSharkeypic.twitter.com/Bm8qkVvblm
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