Sökning: "AI och IT"

Visar resultat 1 - 5 av 817 uppsatser innehållade orden AI och IT.

  1. 1. ChatGPT som ”teolog” En undersökning i teologisk representation hos AI-boten ChatGPT-3.5

    Magister-uppsats, Göteborgs universitet/Institutionen för litteratur, idéhistoria och religion

    Författare :Emil Svensson; [2024-02-20]
    Nyckelord :AI; Artificiell intelligens; ChatGPT; Teologisk representation; Teologi;

    Sammanfattning : The aim of this study is to evaluate theological representation by the AI-chatbot, ChatGPT-3.5. The investigation highlights the representation of four Christian theological traditions: Catholicism, Eastern Orthodoxy, Lutheranism and Calvinism. LÄS MER

  2. 2. The Sound of Skepticism Analyzing Climate Change Denial in Swedish Podcasts and YouTube Channels

    Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

    Författare :Victoria Vallström; [2024-02-14]
    Nyckelord :denialism; climate skepticism; social movements; countermovements; digital media; digital data; computational grounded theory; topic modeling; computational text analysis;

    Sammanfattning : This study explores Sweden's climate change denial by analyzing the spoken-word discourse of its countermovement, focusing on digital media content from Swedish parliament member Elsa Widding with an aim to provide empirical insights into the discourse of Sweden's Climate Change Countermovement (CCCM). Questions guiding this study are: What are the most prevalent topics and themes related to climate change denial and skepticism? How do they align with established categories of climate change denial, shaping the overall narrative? What mobilizing ideas and meanings are present, how are they shaped, and how do they contribute to the movement's goals? The material consists of Elsa Widding's complete audio-based "movement texts'' from 2019-2023, including YouTube content, podcasts, and appearances on Riks, totaling over 2000 minutes of audio transcribed into text via AI technology. LÄS MER

  3. 3. Automating the identification of components in 3D models

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Oliver Olofsson; [2024]
    Nyckelord :Part segmentation; Blender; 3D mesh; MeshCNN; PointNet ; DGCNN;

    Sammanfattning : Online house building tools are robust instruments that have transformed the approach to home planning and design. The significance of 3D models on online house building and design platforms lies in their ability to elevate the user experience, enhance design precision, and foster collaboration. LÄS MER

  4. 4. ML implementation for analyzing and estimating product prices

    Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Abel Getachew Kenea; Gabriel Fagerslett; [2024]
    Nyckelord :Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

    Sammanfattning : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. LÄS MER

  5. 5. Using artificial intelligence to improvetime estimation for project management

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Marcus Bonnedahl; [2024]
    Nyckelord :time estimation; ai; machine learning; project management;

    Sammanfattning : Time estimation is an important aspect in project management. Failure to make accurateestimates can lead to large consequences. Despite this, humans tend to make fairly inaccurateestimates when tasked to, often underestimating the time something will take substantially. LÄS MER