Sökning: "artificial selection"

Visar resultat 1 - 5 av 153 uppsatser innehållade orden artificial selection.

  1. 1. Exploring the Future of Movie Recommendations : Increasing User Satisfaction using Generative Artificial Intelligence Conversational Agents

    Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Signe Bennmarker; [2023]
    Nyckelord :User centered design; Recommender systems; Natural language processing; Conversational agent; User satisfaction;

    Sammanfattning : This thesis explores potential strategies to enhance user control and satisfaction within the movie selection process, with a particular focus on the utilization of conversational generative artificial intelligence, such as ChatGPT, for personalized movie recommendations. The study adopts a qualitative user-centered design thinking approach, aiming to compre-hensively understand user needs, goals, and behavior. LÄS MER

  3. 2. AI and the Future of IT Recruitment

    Kandidat-uppsats, Lunds universitet/Institutionen för informatik

    Författare :John Arvidsson; Ludvig Eslind; [2023]
    Nyckelord :Artificial Intelligence; Discrimination; Bias; Recruitment; IT.; Business and Economics;

    Sammanfattning : The use of artificial intelligence tools is rapidly increasing. Companies are now looking to use AI for recruitment in order to try to ensure a more fair process. This thesis aims to answer the question “How do recruiters in the Swedish IT sector perceive the effectiveness of AI tools in mitigating bias within the recruitment process?”. LÄS MER

  4. 3. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Nico Pistor; [2023]
    Nyckelord :MLOps; Machine Learning Operations; Development Process; Machine Learning; Artificial Intelligence; DevOps; Collaboration;

    Sammanfattning : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. LÄS MER

  5. 4. Ärendehantering genom maskininlärning

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Daniel Bennheden; [2023]
    Nyckelord :Artificial Intelligence; machine learning; case management; RPA; Random forest; Naïve Bayes; support vector machine; neural network; Artificiell Intelligens; maskinlärning; ärendehantering; RPA; Random forest; Naïve Bayes; support vector machine; neurala nätverk.;

    Sammanfattning : Det här examensarbetet undersöker hur artificiell intelligens kan användas för att automatisktkategorisera felanmälan som behandlas i ett ärendehanteringssystem genom att användamaskininlärning och tekniker som text mining. Studien utgår från Design Science ResearchMethodology och Peffers sex steg för designmetodologi som utöver design även berör kravställningoch utvärdering av funktion. LÄS MER

  7. 5. Distributed Artificial Intelligence Based on Edge Computing

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Rebecca Fagerström; Simon Neüman; [2023]
    Nyckelord :Internet of Things; IoT; Edge Computing; Distributed Intelligence; Artificial Intelligence; AI;

    Sammanfattning : The future Internet is expected to be driven by the prevalence of the Internet of Things (IoT), where it is envisioned that anything can be connected. In the last decade, there has been a paradigm shift in IoT from centralized cloud computing to so-called edge computing in order to compute tasks closer to the source of data generation. LÄS MER