Essays about: "generativ artificiell intelligens"

Found 5 essays containing the words generativ artificiell intelligens.

  1. 1. From Support to Disruption : Highlighting the discrepancy between user needs, current AI offerings and research focus for professional video creators, a situated user study.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sietse van den Nieuwenhuijzen; [2023]
    Keywords : Artificial Intelligence; Video Production; User-Centered Design; AI Ethics; Generative AI; Artificiell Intelligens; Videoproduktion; Användarcentrerad Design; AI-etik; Generativ AI;

    Abstract : Artificial intelligence (AI) has the potential to transform various industries, including the creative industry [1]. The potential disruption is facilitated by technology-driven products, with these products it is increasingly important to keep user goals, behaviour and needs at the centre during the development and designing phase. READ MORE

  3. 2. John the Baptist Through the Lens of Generative AI : A Narrative and Reception-Historical Analysis of Mark 1

    University essay from Uppsala universitet/Teologiska institutionen

    Author : Daniel Wettervik; [2023]
    Keywords : John the Baptist; Gospel of Mark; biblical art; visual exegesis; narrative criticism; Late Ancient Christian Sources; phenomenology; generative artificial intelligence; artificial intelligence; Midjourney; Johannes döparen; Markusevangeliet; biblisk konst; visuell exegetik; narrativ tolkning; patristik; fenomenologi; generativ artificiell intelligens; artificiell intelligens; Midjourney;

    Abstract : This thesis addresses the intersection of reception history in biblical studies, Generative Artificial Intelligence (GAI) and phenomenology. Three images, from text prompts using different English translations of Mark 1:1–8 (KJV, NRSV and NIV) have been generated by GAI. READ MORE

  4. 3. The impact of integrating Artificial Intelligence into the video games industry. : A case study.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nele Bonn; [2023]
    Keywords : Artificial intelligence; Machine Learning; Generative AI; Video Games; Gaming; Artificiell intelligens; Machine Learning; Generativ AI; TV-spel; Gaming;

    Abstract : Artificial Intelligence (AI) possesses the potential to profoundly reshape numerous established industries, including the video games industry. This transformative potential arises from algorithms that operate not only on a technical level, but also on a creative and artistic level, particularly with the advent of generative AI. READ MORE

  5. 4. Space Systems of Systems Generative Design Using Concurrent MBSE: An Application of ECSS-E-TM-10-25 and the GCD Tool to Copernicus Next Generation

    University essay from KTH/Rymdteknik

    Author : Andrea Mincolla; [2020]
    Keywords : Artificial Intelligence; Concurrent Design; Copernicus; Earth Observation; ECSS; Generative Design; Model-based Systems Engineering; Systems Engineering; System of Systems; Space Systems; Artificiell Intelligens; Samtidig Design; Copernicus; Jordobservation; ECSS; Generativ Design; Modellbaserad Systemteknik; Systemteknik; System i System; Rymdsystem;

    Abstract : The Concurrent Design Platform 4 (CDP4®) is a collaborative Model-Based Systems Engineering (MBSE) software tool conceived for architecting complex systems. Nevertheless, there are limitations concerning the manageable number of system options. READ MORE

  6. 5. Explainable Artificial Intelligence : How to Evaluate Explanations of Deep Neural Network Predictions using the Continuity Test

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anna Hedström; [2020]
    Keywords : ;

    Abstract : With a surging appetite to leverage deep learning models as means to enhance decisionmaking, new requirements for interpretability are set. Renewed research interest has thus been found within the machine learning community to develop explainability methods that can estimate the influence of a given input feature to the prediction made by a model. READ MORE