Sökning: "AI text"

Visar resultat 1 - 5 av 152 uppsatser innehållade orden AI text.

1. 1. 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. 2. Verktyg för tolkning av äldre planbestämmelser : Systematisk och automatiserad översättning av äldre planbestämmelser för framtidens samhällsbyggnadsprocess

   Master-uppsats, KTH/Urbana och regionala studier

   Författare :Linn Nordlund; [2024]
   Nyckelord :Digitization; detailed development plans; zoning plans; planning regulations; Värmdö municipality; machinelearning; ML; AI; Digitalisering; detaljplaner; planbestämmelser; tolkning av planbestämmelser; Värmdö kommun; maskininlärning; AI;

   Sammanfattning : I samhället finns en stor efterfrågan på digitala detaljplaner eftersom digital och enhetlig data gör informationen analyserbar och sökbar. Även om nya detaljplaner ska vara digitala är den stora majoriteten av befintliga planer fysiska kartor med tillhörande bestämmelser på papper. LÄS MER

4. 3. Fotografering med AI i bilden : En intervjustudie med svenska fotografer om det fotografiska yrket med teknologin artificiell intelligens

   M1-uppsats, Örebro universitet/Institutionen för humaniora, utbildnings- och samhällsvetenskap

   Författare :Adam Avelin Belin; Oscar Geidemark; [2024]
   Nyckelord :Artificial intelligence; AI; photography; image generating; text-to-image; postphenomenology; technology; semi-structured interview; narrative analysis;

   Sammanfattning : At the turn of the century, photographers started a transition from analogue to digital photography: a transition which took years to complete. The photographic landscape is now in a new period of development, with new AI-programs based on machine learning. LÄS MER

5. 4. Designers Krav på Midjourney : En Studie om Integrationen av Bildgenererande AI i Grafiska Formgivares Arbetsprocess

   Kandidat-uppsats, Uppsala universitet/Informationssystem

   Författare :Lukas Bruhn; Max Algelin; [2024]
   Nyckelord :Generative Artificial Intelligence; Graphic Design; Midjourney; Requirement Design; Idea Generation; Generativ Artificiell Intelligens; Grafisk Formgivning; Midjourney; Kravutformning; Idégenerering;

   Sammanfattning : Text-to-image generation is one of the most significant technological advancements in artificial intelligence (AI) during recent years, with the software Midjourney being amongst the most popular tools for this purpose. There is however some uncertainty about how tools like Midjourney will impact and integrate with creative professions, such as graphic design. LÄS MER

7. 5. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

   Kandidat-uppsats, Lunds universitet/Fysiska institutionen

   Författare :Max Svensson; [2024]
   Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

   Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER