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The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

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Gary Marcus: "absolutely brilliant" —Nobel Laureate Danny Kahneman The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence It's what I wish I had had time to say at the #AIDebate :) Finally ready, free, on arXiv. Happy Reading! https://arxiv.org/abs/2002.06177

32 replies, 1167 likes


محمد الحامد: ورقة بحثية نشرت قبل يومين، استمتعت بقراءتها و انصح المهتمين بالاطلاع عليها #الذكاء_الاصطناعي #تعلم_الآلة "The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence" https://arxiv.org/pdf/2002.06177.pdf

1 replies, 229 likes


Florian Huber: Two very knowledgeable articles about current shortcomings in #AI/#ML and promising ways towards more general, robust, and flexible #AI: 1."On the measure of intelligence" @fchollet: https://arxiv.org/abs/1911.01547 2."The Next Decade in AI" @GaryMarcus: https://arxiv.org/abs/2002.06177

1 replies, 119 likes


Guy Van den Broeck: Happy to see @GaryMarcus mention statistical relational learning, probabilistic programming, and probabilistic circuits as promising directions for hybrid AI approaches: https://arxiv.org/pdf/2002.06177.pdf (also see https://www.youtube.com/watch?v=mQMxqecxGhk)

0 replies, 75 likes


Felix Hill: I just don't get why classical electronic computers are such a pervasive source of inspiration for cognitive scientists (see article cited below) It feels to me like a biologist proposing that the girders, joists and windows in skyscrapers must be core components of physiology

14 replies, 72 likes


MONTREAL.AI: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence "absolutely brilliant" —Nobel Laureate Danny Kahneman @GaryMarcus : https://arxiv.org/abs/2002.06177 #AIDebate #ArtificialIntelligence #CognitiveModels #Reasoning #RobustAI https://t.co/kAe0RxnwW6

1 replies, 70 likes


Erik Brynjolfsson: A cool new paper shows how Neural Networks can speed up simulations by billions of times. https://www.sciencemag.org/news/2020/02/models-galaxies-atoms-simple-ai-shortcuts-speed-simulations-billions-times Is this because deep learning leverages the simplicity of the laws of physics, per @tegmark et al. ? https://arxiv.org/pdf/2002.06177.pdf #AI #2MA #MachineLearning https://t.co/hsjEimjJKS

4 replies, 63 likes


JohnMark Taylor: The fields of Cog Sci and AI were born joined at the hip but gradually drifted apart; if these clearheaded and interesting proposals are on the right track, then the reintegration of these fields might be one of the most exciting things happening today.

3 replies, 62 likes


Carlos E. Perez: Gary Marcus latest manifesto "The Next Decade in AI" https://arxiv.org/abs/2002.06177 attempts to reintroduce the philosophical foundations of GOFAI (i.e. knowledge, internal models, reasoning) into the current AI conversation.

3 replies, 62 likes


Gary Marcus: Yes! Reading these two papers together, comparing and contrasting and seeking your own synthesis, would be a great way to think about the road to a more robust AI.

1 replies, 56 likes


hardmaru: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence @GaryMarcus https://arxiv.org/abs/2002.06177 https://redd.it/f5kh7v

1 replies, 43 likes


Dagmar Monett: "[A] hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible." 👏 That's @GaryMarcus' The Next Decade in #AI: Four Steps Towards Robust Artificial Intelligence

1 replies, 41 likes


Charan Ranganath: This paper brings up many points that are relevant to understanding episodic memory. Cog Neuro has a fetish with event boundaries (I.e. context shifts) but we really need to understand event structure. (10 bucks says it doesn’t live in the hippocampus or entorhinal cortex)

7 replies, 37 likes


Gary Marcus: puzzled about what symbol-manipulation is and how it might relate to reasoning? today might be the perfect day to read “The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence” https://arxiv.org/abs/2002.06177

4 replies, 34 likes


Dorothea Baur: Great input from @GaryMarcus: Robust #AI needs "deep understanding": the ability not only to correlate & discern subtle patterns in complex #data sets, but also the capacity to look at any scenario & address q's such as who, what, where, why, when and how. https://arxiv.org/abs/2002.06177

4 replies, 32 likes


Geoffrey Siwo: Need to rethink AI, big data alone is not enough for true intelligence. We need knowledge-driven, reasoning based approach @GaryMarcus https://arxiv.org/pdf/2002.06177.pdf

3 replies, 31 likes


Luis Lamb: State-of-The-Art: GNNs meet Neural-Symbolic Computing https://arxiv.org/abs/2003.00330 w/@vardi @AvilaGarcez @Melleo54Sis @marceloprates_ in the light of @GaryMarcus 's The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177 https://t.co/v1vQ1QTLM2

0 replies, 30 likes


Mehmet Suzen: Any research decision-maker should read @GaryMarcus 's works. Anyone tries to silence him, is doing a tremendous disservice to the AI community. We need down to earth cognitive scientist contributing to the development of new AI technologies. Thank you Gary.

1 replies, 30 likes


reza mahmoudi: Great read on the next decade in #AI: "Four Steps Towards Robust Artificial Intelligence" by @GaryMarcus https://arxiv.org/pdf/2002.06177.pdf #DeepLearning #machinelearning #ArtificialIntelligence #AI https://t.co/ygC4OAF4Ay

0 replies, 28 likes


Fabian Westerheide: Reading now "The Next Decade in #AI: Four Steps Towards Robust Artificial Intelligence" by @GaryMarcus #RiseofAI read it yourself => https://arxiv.org/abs/2002.06177 https://t.co/ffQtYimJJo

1 replies, 23 likes


Niloofar: An amazing must-read! "When sheer computational power is applied to open-ended domain—such as conversational language understanding and reasoning about the world—things never turn out quite as planned." My favorite quote!

0 replies, 22 likes


Elisenda Bou: "Recent research in AI and ML has largely emphasized general-purpose learning and ever-larger training sets (..) I propose a hybrid, knowledge-driven, reasoning-based approach (..) that could provide the substrate for a richer, more robust AI" @GaryMarcus https://arxiv.org/pdf/2002.06177.pdf

2 replies, 22 likes


Bennie Mols: Great read on the next decade in #AI: "Four Steps Towards Robust Artificial Intelligence" by @GaryMarcus Free on arXiv: https://arxiv.org/pdf/2002.06177.pdf

0 replies, 19 likes


Alex Hamilton: "A growing body of evidence shows that state-of-the-art models learn to exploit spurious statistical patterns in datasets… instead of learning meaning in the flexible and generalizable way that humans do."

3 replies, 16 likes


Luis Lamb: Great points raised by @GaryMarcus : happy to see the promising perspectives of neural-symbolic computing in AI,which has been an active field of research @AvilaGarcez @luislamb @pascalhitzler @jeublanc @marceloprates_ @Melleo54Sis @vardi @frossi_t @erikbryn @kerstingAIML

1 replies, 16 likes


Eyad Nawar: A great article by @GaryMarcus. A must read.

1 replies, 16 likes


Srinath Srinivasa: From deep learning to deep understanding. Robust AI as an achievable next goal for AI, rather than the lofty AGI. Wonderfully written article!

1 replies, 15 likes


miriam meckel: Worth a read ...

1 replies, 15 likes


Luis Lamb: “The next decade in AI: Four steps towards robust Artificial Intelligence” by @GaryMarcus is on arXiv: https://arxiv.org/abs/2002.06177 #robustAI #AIDebate #hybridmodels #neuralsymboliccomputing @AvilaGarcez @RealAAAI @vardi @ceobillionaire @Montreal_AI

0 replies, 13 likes


Yariv Sadan: Great essay on gaps with deep learning techniques and the progress we need to develop more robust AI.

0 replies, 13 likes


Andrew Revkin: This is only the beginning of efforts to use #AI to break longstanding climate-modeling barriers. Here's a glimpse of the ferment (hat tip @PierreGentine): https://twitter.com/apilipis/status/1219356507864616962

0 replies, 12 likes


Ioana Ciucă: Hello, weekend read. 👌

0 replies, 12 likes


Luis Lamb: This is really worth reading, if one is interested in AI and its future, by @GaryMarcus

0 replies, 12 likes


Kristian Kersting: Thanks for your vision @GaryMarcus, even before it actually went online. It was a great pleasure and honor to provide my humble feedback. Very interesting and important directions for #AI and #ML

0 replies, 12 likes


Jarno M. Koponen: Towards hybrid models. @GaryMarcus defines the fundamental building blocks in his latest paper: “we should seek to build learning systems that start with initial frameworks for domains like time, space, and causality, in order to speed up learning” https://arxiv.org/abs/2002.06177 #ml #ai https://t.co/nZqWhTcMnB

1 replies, 11 likes


Luis Lamb: #AIDebate @ceobillionaire

0 replies, 11 likes


HotComputerScience: Most popular computer science paper of the day: "The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence" https://hotcomputerscience.com/paper/the-next-decade-in-ai-four-steps-towards-robust-artificial-intelligence https://twitter.com/GaryMarcus/status/1229216106377646080

0 replies, 10 likes


David Broadhurst: This article by @garymarcus is well worth a read for anyone interested in the future practicalities of effective #AI. But, I can't help but feel that the most productive (rapid) way to improve the general perception is to stop using the term #AI for all #ML systems - misleading.

0 replies, 9 likes


Vilynx: 'The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence' by @GaryMarcus is a must-read! > http://arxiv.org/abs/2002.06177 #AI #ML #DL #CognitiveComputing #MachineLearning #neuralnetworks https://t.co/15lhc951Sz

3 replies, 7 likes


Dr Jean-Louis Amat: Alternative ways than using deep learning for any #AI problem are needed. This paper from @GaryMarcus should be read if you are interested in the future of artificial intelligence.

1 replies, 7 likes


BBVA Data: Interesting paper by Gary Marcus: 4 Steps Towards Robust Artificial Intelligence

2 replies, 7 likes


Stefano Marzani: Must read! #AI #ArtificialIntelligence

0 replies, 7 likes


MIT Technology Review: #EmTechDigital https://arxiv.org/abs/2002.06177

0 replies, 6 likes


Michael Harries: Highly recommended - a clear eyed view of the challenges facing deep learning and why incorporating symbolic methods matters. AKA - what's next for AI.

2 replies, 5 likes


Carter Maslan: Challenges for the next decade of AI summarized in one image https://arxiv.org/pdf/2002.06177.pdf via @GaryMarcus https://t.co/9NTkmMTedT

0 replies, 5 likes


Gary Marcus: @zaidalyafeai @NaxAlpha @xsteenbrugge see also my discussion of Meena in my Next Decade article. https://arxiv.org/abs/2002.06177

2 replies, 4 likes


Phil Harvey: Best paper I have read in years ... awesome. And likely to be proved very important #AI

0 replies, 3 likes


José A. Alonso: The next decade in AI: Four steps towards robust Artificial Intelligence. ~ Gary Marcus. https://arxiv.org/abs/2002.06177 #AI

0 replies, 3 likes


Leo Brueggeman: Follow up from @GaryMarcus on the #AI debate (http://shorturl.at/twzU9) TLDR is that #DeepLearning should incorporate symbols that can be manipulated (eg serval present in photo is a _TYPEOF_ cat) to become more robust https://arxiv.org/abs/2002.06177 #machinelarning

0 replies, 3 likes


Marga Robles: 👉The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177

0 replies, 3 likes


kordoni_nlp: Great read on the next decade in #AI: "Four Steps Towards Robust Artificial Intelligence" by @GaryMarcus Free on arXiv: http://arxiv.org/pdf/2002.06177…

0 replies, 3 likes


Gary Marcus: @missy_cummings @AnimaAnandkumar my suggestions here: https://arxiv.org/abs/2002.06177

0 replies, 3 likes


Ariel Meilij: Reading this Monday

0 replies, 3 likes


Jen LaPlante: I read this over my holiday. A great follow-up to "Rebooting AI" by @GaryMarcus. If you have an interest in AI, I highly recommend this read. #ai https://arxiv.org/abs/2002.06177

1 replies, 3 likes


Beril Sirmacek 🦋: Such a good read from @GaryMarcus Thanks @ProfLavesson for the suggestion! https://arxiv.org/abs/2002.06177

0 replies, 3 likes


═╬╬═: The Next Decade in #AI: Four Steps Towards Robust Artificial Intelligence #deeplearning https://arxiv.org/pdf/2002.06177.pdf https://t.co/paDgkz70Db

0 replies, 2 likes


Abel.TM: Great to read a broad analysis about the future of AI by @GaryMarcus, including evaluations of current technologies, their limitations towards robust AI and alternative directions of research https://twitter.com/GaryMarcus/status/1229216106377646080

1 replies, 2 likes


AI Papers: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence. http://arxiv.org/abs/2002.06177

0 replies, 2 likes


Pascal Marco Caversaccio: Anyone truly interested in #AI, that means no Chief Bullshit Director, should read @GaryMarcus's paper on "The Next Decade in AI". https://arxiv.org/abs/2002.06177 For the guys who think they are too busy, you can find a great summary here: https://www.linkedin.com/pulse/next-decade-ai-gary-marcus-50-pages-my-summary-fabio-ciucci/?trackingId=os%2B5YFDcQWC8%2FfpcJANTjw%3D%3D

0 replies, 2 likes


thinkofx: Excellent summary of the limitations of Deep Learning

0 replies, 2 likes


tsauri: @AnimaAnandkumar @GaryMarcus Symbolic reasoning is very loosely defined, much like AGI.

1 replies, 2 likes


Nick 🇪🇺: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177

0 replies, 2 likes


Valentino Zocca 🇮🇹 🇪🇺: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence - https://arxiv.org/pdf/2002.06177.pdf #DeepLearning #MachineLearning #AI By @GaryMarcus

1 replies, 2 likes


Daniel Muller: Me

0 replies, 1 likes


John Clark: [2002.06177] The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence I’ll give it a try. https://arxiv.org/abs/2002.06177

0 replies, 1 likes


Dr. Rajeev Bukralia: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177 #AI #ML #DeepLearning #DataScience #Research

0 replies, 1 likes


Tim Clancy: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177

0 replies, 1 likes


Vilynx: A good read for this weekend: 'The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence' by @GaryMarcus > http://arxiv.org/abs/2002.06177 #AI #ML #DL #CognitiveComputing #MachineLearning #neuralnetworks https://t.co/lTAQoNYsXb

0 replies, 1 likes


Greg Weinger: Fascinating thoughts on the future of AI by @garymarcus The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence Downloadable PDF - https://arxiv.org/abs/2002.06177 http://bit.ly/38N3b6n

0 replies, 1 likes


Yunus Şahin: It was an excellent read and full of insights which can also be useful for my future MSc and PhD study. Thanks @GaryMarcus!

0 replies, 1 likes


Dr. Rajeev Bukralia: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177 #AI #ML #DeepLearning #DataScience #Research

0 replies, 1 likes


Steve H ☕️: 13/ (There's a connection to AI in there: @GaryMarcus juxtaposes abstract/symbolic understanding with deep learning/intuitive understandings, and argues that true intelligence requires both) https://arxiv.org/abs/2002.06177

1 replies, 0 likes


Kai: Great paper by @GaryMarcus! I experimented with NNs to solve automatic music genre classification (paper coming soon). Came to a similar conclusion as Gary. SOTA systems lack basic cultural knowledge. Without this, they are is easily fooled. 1/2

1 replies, 0 likes


Anita Yorker: [2002.06177] The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177, see more http://tweetedtimes.com/v/1407?s=tnp

1 replies, 0 likes


Max Todaro: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177

1 replies, 0 likes


Jordi de la Torre: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177

1 replies, 0 likes


Pascal Marco Caversaccio: @GaryMarcus cites in his recent paper (https://arxiv.org/abs/2002.06177) a funny #Meena conversation snippet that actually confirms deep learning's stupidity (the original source can be found here: https://github.com/google-research/google-research/blob/master/meena/meena.txt):

1 replies, 0 likes


Jibu Elias: A must read for anyone into #AI, by ⁦@GaryMarcus. ⁩ The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence https://arxiv.org/abs/2002.06177

1 replies, 0 likes


Content

Found on Feb 17 2020 at https://arxiv.org/pdf/2002.06177.pdf

PDF content of a computer science paper: The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence