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Prikvačeni tweet
Take a look at our one year anniversary collection with highlights from 2019 https://go.nature.com/2R1RWAs (free to access); Reviews, Perspectives and Research Articles with stimulating findings and ideas in artificial intelligence, machine learning and robotics.pic.twitter.com/l5cM315oLm
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Nature Machine Intelligence proslijedio/la je Tweet
With the rise of AI technologies in society, we need a human impact assessment for technology. A short paper by
@Rafael_A_Calvo and@dorian_peters and myself in@NatMachIntell -#AIEthics@AIESConfhttps://www.nature.com/articles/s42256-020-0151-z …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nature Machine Intelligence proslijedio/la je Tweet
A thread of some
#FAT2020 paper presentations that translated between academic disciplines
As an interdisciplinary organisation, we’re excited about work that intersects and communicates across experience, which is crucial but can be under-recognised in academic contexts.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hidden Computational Power Found in the Arms of Neurons https://www.quantamagazine.org/neural-dendrites-reveal-their-computational-power-20200114/ … via
@QuantaMagazineHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nature Machine Intelligence proslijedio/la je Tweet
Keynote by Yochai Benkler
@BKCHarvard on Productivity and Power at#FAT2020@fatconference // "firms want to 'funnel' the algorithmic fairness discourse on ways that are less threatening to them"pic.twitter.com/mDLTzPpSdi – mjesto: Hotel Barceló Sants
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Nature Machine Intelligence proslijedio/la je Tweet
Intel Labs outlines the innovations that will be required to unleash the full potential of next-generation wireless communication:https://www.nature.com/articles/s41928-019-0363-6 …
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Nature Machine Intelligence proslijedio/la je Tweet
Humans cooperate with bots who pretend to be human! Check out the
@sciam coverage of our@NatMachIntell paper:https://www.scientificamerican.com/article/people-dont-learn-to-trust-bots/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nature Machine Intelligence proslijedio/la je Tweet
5G — the fifth generation of wireless communications technology — is our 2020 technology of the year. Here, we explore the underlying technology, its potential applications, and its wider political context. We also consider what a future 6G could look like https://go.nature.com/30W7fhw pic.twitter.com/YxN9x1bMK8
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What is 5G and how to make it work: Comment in
@NatureElectron by Muriel Medard from@MITEECShttps://www.nature.com/articles/s41928-019-0361-8 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nature Machine Intelligence proslijedio/la je Tweet
Editorial – Read about our choice of
#5G as 2020 technology of the yearhttps://www.nature.com/articles/s41928-020-0368-1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
One of our editors
@yanniscaus will be at ACM FAT* next week if anyone wants to discuss the journal#ACMFAT#FAT2020https://twitter.com/fatconference/status/1219952212320845825 …
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Nature Machine Intelligence proslijedio/la je Tweet
TreeExplainer is published as a cover article of the January issue of Nature Machine Intelligence. Congratulations, Scott, Gabe, Hugh, and Alex!https://twitter.com/uwengineering/status/1219760362028818434 …
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Nature Machine Intelligence proslijedio/la je Tweet
#AI is a fast moving field. Here is a collection of reflections on#Comments and#Perspectives from the first volume of@NatMachIntell. Diverse application of#MachineLearning approaches. https://www.nature.com/articles/s42256-019-0141-1 …pic.twitter.com/HS0dzyzcn3
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A study of how AI technologies impact the UN Sustainable Development Goals finds that it could enable the accomplishment of 134 targets across these goals, but it may also inhibit 59 targets - https://www.nature.com/articles/s41467-019-14108-y …pic.twitter.com/Uv7mFOZi56
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Nature Machine Intelligence proslijedio/la je Tweet
In the last two days, Google and
@FinancialTimes editorial board have called for a temporary moratorium on facial recognition - following in the footsteps of many researchers and civil society orgs. https://twitter.com/FinancialTimes/status/1219833366935035904 …pic.twitter.com/ekmSfVHjw0
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Nature Machine Intelligence proslijedio/la je Tweet
My blogpost on how & why we use convolutional neural networks as a model of the visual system is probably the most read thing I've ever written and it's now been expanded & updated into a proper review article, complete with 136 references & 5 new figures! https://arxiv.org/abs/2001.07092 pic.twitter.com/xRqYKptTsF
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How did discussions on AI topics develop in 2019? Read answers from many of our commentary authors in our special January Feature (free to read this month).https://www.nature.com/articles/s42256-019-0141-1 …
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Nature Machine Intelligence proslijedio/la je Tweet
.
@NatMachIntell is celebrating its first year and I'm delighted to see that our paper "The global landscape of AI ethics guidelines" written with@annajobin &@EffyVayena is included in their collection of 10 article highlights from 2019!@EthicsPolicyLab https://www.nature.com/collections/adjbhaagce …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nature Machine Intelligence proslijedio/la je Tweet
For our paper in
@NatMachIntell we put everything on@CodeOceanHQ including a simulated dataset. There are no excuses for avoiding reproducibilty.https://doi.org/10.24433/CO.8519672.v1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nature Machine Intelligence proslijedio/la je Tweet
“With TreeExplainer, we aim to break out of the so-called black box and understand how
#MachineLearning models arrive at their predictions," says@uwcse prof@suinleelab about her lab's recent@NatMachIntell paper. Details: https://news.cs.washington.edu/2020/01/17/seeing-the-forest-for-the-trees-uw-team-advances-explainable-ai-for-popular-machine-learning-models-used-to-predict-human-disease-and-mortality-risks/ …pic.twitter.com/IkXdZ4kJP5
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Our 1st issue of 2020 is live! Find out how robotics can help with physics experiments, how explainable decision trees can be applied to complex datasets and why a ML approach that predicts well may not be valid as a predictive model - and more. https://go.nature.com/2sGf0vj pic.twitter.com/3kZzHUhD0c
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