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Ever wonder how the public mood can change suddenly?
@RachelBBrazil writes in@PhysicsWorld how@kcore_analytics uses percolation models to describe the diffusion of information and its impact on people’s opinions. https://physicsworld.com/a/the-physics-of-public-opinion/ …pic.twitter.com/6hsETKUPaj
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From
@NatureComms on our recent paper on Symmetries in the Connectome.https://twitter.com/NatureComms/status/1195375541072871430 …
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Hernan Makse proslijedio/la je Tweet
Artificial Intelligence is now better at reading than people by
@wef#ArtificialIntelligence#Robotics#DataScience#MachineLearning#DeepLearning#Robots#AIpic.twitter.com/9bfYGs1Z8oHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hernan Makse proslijedio/la je Tweet
#complexitypapers networks and biological symmetries by@kcore_analytics (Prof. Hernan Makse)https://twitter.com/kcore_analytics/status/1190286120241815552 …
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Hernan Makse proslijedio/la je Tweet


the state-of-the-art on biological symmetries and artificial intelligence published by #HernanMakse@kcore_analytics on@NatureComms

https://twitter.com/kcore_analytics/status/1190286120241815552 …
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The main application of
#symmetries_in_biology is to resolve the structure-function relation. The structure of the connectome (and genetic networks) is captured by symmetry groups which, in turn, determine the function of the biological network. A deep problem in biology.https://twitter.com/benjamin_karimi/status/1190287827088629760 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hernan Makse proslijedio/la je Tweet
"the modularity algorithm will typically mix the interneuron and motor sectors. Symmetry factorization into normal subgroups, on the other hand, correctly classifies AVBL and AVBR separately from the VB and DB neurons in the motor sector, even though [they] are well connected."https://twitter.com/kcore_analytics/status/1190286120241815552 …
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Hernan Makse proslijedio/la je Tweet
Nice paper by
@kcore_analytics that shows the relevance of symmetries in complex networks. cc@KatolaZ@neurodynamicsFR@_AlexArenashttps://twitter.com/kcore_analytics/status/1190286120241815552 …
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Hernan Makse proslijedio/la je Tweet
A new consensus is forming ... The structure of neural networks can largely define their function making learning much easier; this structure may be encoded fairly compactly in genome/program code: https://www.nature.com/articles/s41467-019-11786-6 … https://ai.googleblog.com/2019/08/exploring-weight-agnostic-neural.html … https://arxiv.org/abs/1907.06374
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Retweet from
@lucas_c_parra on the significance of symmetries in biology: Revolutionary, outside-the-box thinking on the relationship between structure and function in neural networks: it is the symmetry of connections that defines functional building blocks.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hernan Makse proslijedio/la je Tweet
Revolutionary, outside-the-box thinking on the relationship between structure and function in neural networks: it is the symmetry of connections that defines functional building blocks. There are complex symmetries in C elegans: circular and permutation are just a few.https://twitter.com/kcore_analytics/status/1190286120241815552 …
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Hernan Makse proslijedio/la je Tweet
Thank you so much
@IMTLucca and@GuidoCaldarelli for the invitation to speak about artificial intelligence and network theory to understand fake news at the Toffee workshop in Lucca!
https://twitter.com/m_arinell_a/status/1187380984049782784 …
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Our first paper on symmetries in biological networks just came up today in Nature Comm: https://www.nature.com/articles/s41467-019-12675-8 … This is a first in a series of papers showing that symmetry groups and symmetry fibrations describe synchronized building blocks in biology.pic.twitter.com/NbL8iJvIae
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Hernan Makse proslijedio/la je Tweet
Apparently, physicists are still honest (naive?) enough to publish their predictions about social systems BEFORE the event, making it easier to see it's a tricky task... (Macri's score is strongly underestimated)https://twitter.com/kcore_analytics/status/1188558874590228481 …
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Artificial intelligence is now posing a real threat to opinion pollsters.See outcomes from the Argentinian elections in real time developed by
@kcore_analytics with machine learning and AI. Check it out@ryanavent@jonfasman@DanRosenheck@TheEconomist@michaelreid52@brookeungerPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Kcore Analytics releases its prediction for the 2019 Argentina election on Oct 27. See our https://arxiv.org/abs/1910.11227 posting. Our AI model predicts Fernandez = 47.5%, Macri = 30.9%.pic.twitter.com/dgt27VbyC8
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Thank you so much
@IMTLucca and@GuidoCaldarelli for the invitation to speak about artificial intelligence and network theory to understand fake news at the Toffee workshop in Lucca!
https://twitter.com/m_arinell_a/status/1187380984049782784 …
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Hernan Makse proslijedio/la je Tweet
Our great invited speakers!
@kcore_analytics@carolscarton@gabriellapasi@fabreetseo Welcome to TOFFEe Workshop n.1@IMTLucca October 24-25, 2019Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hernan Makse proslijedio/la je Tweet
Very interesting
@IC2S2 talk by@BovetAlexandre and Hernan Makse on#diffusion and spread of news,#FakeNews, and tge role of automated accounts, analysing 171 million tweets during the 2016 US election.@UvA_Amsterdam#Misinformation Full-text: https://www.nature.com/articles/s41467-018-07761-2 …pic.twitter.com/PZ2mIurNru
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Hernan Makse proslijedio/la je Tweet
Very interesting work by
@BovetAlexandre and Hernan Makse on news and "fake news" analysing 171 million tweets during 2016 US election.#ccs2018#ccs18gr https://arxiv.org/abs/1803.08491 https://twitter.com/saminrf/status/1044520022582988801/photo/1pic.twitter.com/Zf2mx4S7bB pic.twitter.com/IIUoO2Vxr6
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