Ilaria Td

@IlaTiddi

Research Associate - (explainable) artificial intelligence, knowledge representation, knowledge management, semantic web, ai&robotics

Vrijeme pridruživanja: lipanj 2014.

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    3. velj
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    31. sij

    The for this year's in Amsterdam (Sept. 2020) is now open. Present your to the research and business community! Call open until April 18.

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    30. sij

    From the , telling how to build knowledge-based systems that can explain -

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    23. sij

    Hybrid Intelligence is hiring 27 PhDs:

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    19. sij
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    18. sij

    On explainability in AI: An explanation requires a conceptualization of the object to be explained in relation to a conceptualization of the domain, task, decision making context, etc. I think our current focus on XAI is too reductionistic.

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    17. sij

    Great talk by at : efficient structured debating is very important but currently broken. On the technical side, we need decentralization and interoperability.

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    15. sij
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    18. pro 2019.
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    12. pro 2019.

    Before analysing data, scientists spend a lot of time collecting, cleaning and annotating them. We need technology to support and scale up these tasks too, says Paul Groth from – mjesto: Pakhuis De Zwijger

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    Are there unexpected patterns in your dataset? from shows that often the Web of Data can tell you why. – mjesto: Pakhuis De Zwijger

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    seem to be problematic at too - I know someone who could help

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    More classical music near Christmas at Spotify.

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    9. pro 2019.

    Interested in Machine Learning on Knowledge Graphs and Explainable AI? We are hiring a PostDoc in our Dublin team. Come design interpretable models to infer knowledge from clinical, genomic, and behavioural data. DM me for details.

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