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Visar resultat 1 - 5 av 7 uppsatser som matchar ovanstående sökkriterier.

  1. 1. The Influence of Artificial Intelligence on Songwriting : Navigating Attribution Challenges and Copyright Protection

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Karin Norberg; Othilia Norell; [2023]
    Nyckelord :Artificial Intelligence; Attribution; Copyright; Machine Learning; Music; Natural Language Processing; Royalties; Songwriting;

    Sammanfattning : This report explores the evolving landscape of songwriting and copyright protection, with a focus on the influence of Artificial Intelligence (AI). It highlights the need for objective measures of attribution in music co-creation, including collaborations involving AI. LÄS MER

  3. 2. Digitised charged-particle discrimination in CsI detector signals

    Kandidat-uppsats, Lunds universitet/Kärnfysik; Lunds universitet/Fysiska institutionen

    Författare :Mats Bror Linus Persson; [2022]
    Nyckelord :Microball; Gammasphere; pulse-shape discrimination; scintillator; charge-comparison method; cosine similarity; exotic nuclei; fusion-evaporation reaction; Argonne National Laboratory; Physics and Astronomy;

    Sammanfattning : This work is aimed at improving the discrimination of protons and α particles in digitised signals from CsI(Tl) scintillators. This has been achieved using pulse-shape discrimination, wherein the shape of the pulses is used to learn which particle is detected. LÄS MER

  4. 3. Finding time-based listening habits in users music listening history to lower entropy in data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :John Magnusson; [2021]
    Nyckelord :Data mining; Clustering; Listening habits; Entropy.; Datautvinning; Klusteranalys; Lyssningsvanor; Entropi.;

    Sammanfattning : In a world where information, entertainment and e-commerce are growing rapidly in terms of volume and options, it can be challenging for individuals to find what they want. Search engines and recommendation systems have emerged as solutions, guiding the users. LÄS MER

  5. 4. DistillaBSE: Task-agnostic  distillation of multilingual sentence  embeddings : Exploring deep self-attention distillation with switch transformers

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Boris Bubla; [2021]
    Nyckelord :Transformers; Knowledge Distillation; Language Agnostic BERT Sentence Embeddings; Natural Language Processing; Switch Transformers; Transformatorer; kunskapsdestillation; språkagnostisk inbäddning av BERT- mening; naturlig bearbetning av språk; switchtransformatorer;

    Sammanfattning : The recent development of massive multilingual transformer networks has resulted in drastic improvements in model performance. These models, however, are so large they suffer from large inference latency and consume vast computing resources. Such features hinder widespread adoption of the models in industry and some academic settings. LÄS MER

  7. 5. Word2vec2syn : Synonymidentifiering med Word2vec

    Kandidat-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Tove Pettersson; [2019]
    Nyckelord :Word2vec; synonym identification; vector space model; word vectors; cosine similarity; Word2vec; synonymidentifiering; vektorrymdsmodell; ordvektorer; cosinuslikhet;

    Sammanfattning : Inom NLP (eng. natural language processing) är synonymidentifiering en av de språkvetenskapliga utmaningarna som många antar. Fodina Language Technology AB är ett företag som skapat ett verktyg, Termograph, ämnad att samla termer inom företag och hålla den interna språkanvändningen konsekvent. LÄS MER