AI at RISE
@RISEAI1AI - It’s all about society. Artificial Intelligence and Machine Learning at RISE
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"Let's make unbiased datasets a binding (EU) regulation!" Great slides and take-aways from RI.SE (Research Institute of Sweden) #EthicalAI #Inclusion #Dataflow at @BDVA_eu conference in Prague.
Tomorrow Nov 24 on Learning Machines Seminars: Mapping and Localization for AR. Speaker: Viktor Larsson at @LTHinfo Read more at ri.se/lm-sem #AI #MachineLearning @RISEsweden
Tomorrow Nov 10 on Learning Machines Seminars: Long Short-Term Memory networks (LSTMs) for rainfall-runoff modeling. Speaker: @fkratzert at @Google Read more at ri.se/lm-sem #AI #MachineLearning @RISEsweden
Tomorrow Oct 27 on Learning Machines Seminars: Modeling and controlling turbulent flows through deep learning. Speaker: @ricardovinuesa, @KTHuniversity Read more at ri.se/lm-sem #AI #MachineLearning @RISEswe
Join our NLP seminar on October 26, 15.00-16.30 Title: Detect - Verify - Communicate: Combating Misinformation with More Realistic NLP Speaker: Prof. Dr. Iryna Gurevych, Technische Universität Darmstadt, Germany Sign up:lnkd.in/dNErTVCS #naturallanguageprocessing #NLP #AI
Tomorrow Oct 20 on Learning Machines Seminars: Compositional, structured, and interpretable models. Speaker: Hedvig Kjellström, @KTHuniversity Read more at ri.se/lm-sem #AI #MachineLearning @RISEswe
Tomorrow Oct 13 on Learning Machines Seminars: Zero-waste Machine Learning. Speaker: @tomasztrzcinsk1 Read more at ri.se/lm-sem #AI #MachineLearning @RISEswe
Join our next NLP seminar on Wednesday 12 Oct 15:00-16:30 Titel: Reading between the lines: a better benchmark for text understanding. Speaker: Yoav Goldberg, Professor at Bar-Ilan University and Research Director at AI2 Israel sv-se.invajo.com/event/aisweden…
Together with several EU partner, RISE Cybersecurity Unit has won an EU project on Cybersecurity and AI, called HARPOCRATES - Federated Data Sharing and Analysis for Social Utility. Read more here lnkd.in/d2H4kZq5 #AI #cybersecurity #ML
Tomorrow Sep 29 on Learning Machines Seminars: Translations as semantic mirrors - Representation learning with multilingual data. Speaker: @TiedemannJoerg at @helsinkiuni Read more at ri.se/lm-sem #AI #MachineLearning @RISEswe
Don't miss today's NLP seminar at 15.00-16.30 Titel: "Natural" Natural Language Processing Speaker: Slav Petrov, Distinguished Scientist / Senior Research Director, Google Read more and sign up 👉sv-se.invajo.com/event/aisweden… #NLP
Är sjukvården redo för AI? Och kan AI-modeller vara klimatfarliga? Läs mer i nya numret av nyhetsbrevet #OmAI. ri.se/sv/ai-centrum/…
TODAY Sep 8 on Learning Machines Seminars: SoundStream: an end-to-end neural audio codec. Speaker: @neilzegh from Google Brain Read more at ri.se/lm-sem #AI #MachineLearning @RISEswed
Tomorrow Sep 1 on Learning Machines Seminars: Horses, pain and temporal information: Learning video features in low-data and fine-grained action recognition. Speaker: @sofiabroome @KTHuniversity Read more at ri.se/lm-sem #AI #MachineLearning @RISEswed
TODAY June 2 on Learning Machines Seminars: Improving retrievals of clouds and precipitation using machine learning. Speaker: Simon Pfreundschuh, @chalmersuniv Read more at ri.se/lm-sem #AI #MachineLearning @RISEswed
TODAY May 19 on Learning Machines Seminars: Technical language supervision. Speakers: Marcus Liwicki, Fredrik Sandin, and Karl Ekström @LTUniv Read more at ri.se/lm-sem #AI #MachineLearning @RISEswed
TODAY May 12 on Learning Machines Seminars: On uncertainty in machine learning. Speaker: Fredrik Lindsten, @liu_universitet Read more at ri.se/lm-sem #AI #MachineLearning @RISEswed
TODAY May 5 on Learning Machines Seminars: Fine-grained controllable text generation using non-residual prompting. Speaker: Fredrik Carlsson, RISE Read more at ri.se/lm-sem #AI #MachineLearning @RISEsweden
Tomorrow Apr 28 on Learning Machines Seminars: Formulating flexible probabilistic models. Speaker: Thomas B Schön, @uppsalauni Read more at ri.se/lm-sem #AI #MachineLearning @RISEsweden
TODAY Apr 7 on Learning Machines Seminars: Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. Speaker: @kchonyc @NewYorkUni Read more at ri.se/lm-sem #AI #MachineLearning @RISEsweden
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Aʟᴇᴋꜱᴀɴᴅʀᴀ ᴘʀᴢᴇɢᴀʟɪɴꜱᴋᴀ
@Przegaa -
KTH Royal Institute of Technology
@KTHuniversity -
Hopsworks
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Vinnova
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Fredrik Heintz
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Chalmers ICT
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AI-on-Demand Platform
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KAW
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Kungl. Ingenjörsvetenskapsakademien, IVA
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SEI Forskning
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KTH Innovation
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Taha Yasseri
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