Stefano Nichele

@stenichele

Professor - Artificial General Intelligence & Artificial Life - Oslo Metropolitan University - AI Lab & Living Technology Lab

Norway
Vrijeme pridruživanja: lipanj 2009.

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  1. Prikvačeni tweet
    5. pro 2019.

    Please share! Do you want to study Artificial Intelligence in the beautiful city of Oslo? Join the Master Program in "Applied Computer and Information Technology" with specialization in "Applied Artificial Intelligence" at Oslo Metropolitan University

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  2. proslijedio/la je Tweet
    1. velj

    Kunstig intelligens endrer din verden

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  3. proslijedio/la je Tweet
    29. sij
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  4. proslijedio/la je Tweet
    29. sij

    Facial recognition of depression, smartphone based measures of anemia, the artificial fastlege, and a look to 2019-nCoV: Arnoldo Frigessi will argue that machine learning will lead to better health at this breakfast seminar on AI.

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    29. sij

    After 2+ years in stealth, we’re excited to launch today! Thank you to our team, customers, partners and investors, we couldn’t have done it w/o your support and trust. Exciting milestone, even more exciting journey ahead!

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  6. proslijedio/la je Tweet
    22. sij

    Today, in collaboration with , we are releasing the “hemibrain” connectome, a detailed map of neuronal connectivity of roughly half of a fruit fly brain, plus tools for visualization and analysis. Learn more at .

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  7. proslijedio/la je Tweet
    22. sij

    Do you have an exciting case for AI, but don't know where to start? Are you interested in collaborating with an AI master's student? We invite companies & organisations to suggest potential master's thesis projects during our Open AI day March 26!

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  8. proslijedio/la je Tweet
    20. sij

    pardon my language, but there's really no other way to say what I mean: seeing alife research on CNN is fucking nuts

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  9. proslijedio/la je Tweet
    21. sij

    NORA’s panel debate with the keynote speakers happening now at – mjesto: Universitetet i Tromsø

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    21. sij

    NORA panel debate just started. We have interesting speakers from all around the Europe! @nldl2020

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    20. sij

    ME: Submit papers to ALife conferences. Work hard. Get on CNN. YOU: Submit paper to ALife conference by March 19...

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  12. proslijedio/la je Tweet
    21. sij
    Odgovor korisnicima

    Here is a brief video of how voxel-based soft robots look like. Optimization progress from top to bottom, kind of controller on column. More to come. See you in .

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  13. 21. sij

    he is a member of the scientific/program committee of the most important conferences on evolutionary computation. He authored and co-authored more than 100 peer-reviewed articles on international journals or conferences, with more than 20 coauthors.

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  14. 21. sij

    information extraction. He won the silver medal at the 13th Human-Competitive Awards, 2016, for Human-Competitive Results produced by Genetic and Evolutionary Computation. He serves as reviewers for many international journals closely related to his research interests;

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  15. 21. sij

    and is the co-founder and co-head of the Machine Learning Lab. His research activities include evolutionary computation, artificial life, and the application of machine learning techniques to engineering and computer security problems (e.g., mobile malware analysis and detection)

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  16. 21. sij

    Eric Medvet is an Associate Professor in Computer Engineering at the Department of Engineering and Architecture of University of Trieste, Italy. He founded and leads the Evolutionary Robotics and Artificial Life lab (ERALlab)

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  17. 21. sij

    and outline open questions and potentially interesting research opportunities.

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  18. 21. sij

    be tackled building on the recent advancements in learning representations and multi-agent systems. The talk will present VSRs, describe how they can be simulated, and discuss ongoing attempts to physically build them. It will cover recent research results involving VSRs

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  19. 21. sij

    study for reasoning about the interaction between development and evolution, two sorts of change that occurs to a lifeform on different time scales. Being aggregations of simple elements, VSRs pose also interesting challenges concerning modularity and reconfigurability that might

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  20. 21. sij

    can be successfully achieved by means of optimization (e.g., evolutionary computation and reinforcement learning). Indeed, VSRs optimization has been used for investigating various research topics, well beyond optimization and robotics. For example, VSRs have been used as a case

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  21. 21. sij

    Abstract: Voxel-based soft robots (VSRs) are aggregations of many simple soft blocks (voxels) that can perform complex tasks by varying the volume of single blocks. The design of the body and the brain of a VSR for performing a given task is challenging, if tackled by hand, but

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