Sökning: "weak AI"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden weak AI.

  1. 1. Förenkla nyhetssammanfattning med hjälp av AI : En analys av GPT-3 modellers förmåga och begränsningar

    Kandidat-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Josefhina Pålsmark; Teodor A. Viklund; [2023]
    Nyckelord :AI; Natural Language Processing; NLP; artikelsammanfattning; GPT-3;

    Sammanfattning : Everyday we are flooded with news from all around the world and this information can be overwhelming. In our study we analyze the possibilities to implement GPT-3 models in the work of news summarization in swedish and automize this process. LÄS MER

  3. 2. Identification of restoration hotspots in landscape-scale green infrastructure planning based on model-predicted connectivity forest

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Xiaoming Wang; [2023]
    Nyckelord :boreal forest; conservation; restoration; connectivity; green infrastructure; GIS; Sweden; Earth and Environmental Sciences;

    Sammanfattning : Boreal forest landscapes have undergone severe anthropogenic fragmentation and their enormous values concerning, e.g., ecosystem service, biodiversity and culture are hazarded. LÄS MER

  4. 3. Rekryterarens nya medarbetare : En kvalitativ studie om individers attityder gentemot AI inom rekrytering

    Kandidat-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Kajsa Lovell; Emma Holmström; Frida Kårén; [2023]
    Nyckelord :Artificiell intelligens; Rekrytering;

    Sammanfattning : The aim of this study was to examine the attitudes of individuals who have undergone a recruitment process with AI elements, and to understand how these attitudes align with the organization's intentions in using AI in recruitment. The study found that the individuals who underwent recruitment with AI elements had a predominantly positive attitude towards the AI tool. LÄS MER

  5. 4. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Björn Elwin; Anton Fredriksson; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER

  7. 5. Evaluation of FPGA-based High Performance Computing Platforms

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Martin Frick-Lundgren; [2023]
    Nyckelord :FPGA; High performance computing; BUDE; GEMM; CPU; GPU;

    Sammanfattning : High performance computing is a topic that has risen to the top in the era ofdigitalization, AI and automation. Therefore, the search for more cost and timeeffective ways to implement HPC work is always a subject extensively researched.One part of this is to have hardware that is capable to improve on these criteria. LÄS MER