Essays about: "Transfer of learning"
Showing result 1 - 5 of 514 essays containing the words Transfer of learning.
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1. "The Uphill AI Contract Challenge The Intra-Active Task: Reimagining Contracts"
University essay from Göteborgs universitet/Juridiska institutionenAbstract : The traditional contract theories are insufficient to handle the challenges Artificial Intelligence (AI) is currently causing and will continue to cause to contract law. These challenges involve problems concerning the subject/object divide, agency, the embedding of legal code into interactive programming code, and ethical aspects concerning the transfer of power away from lawyers. READ MORE
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2. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
University essay fromAbstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE
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3. A Literature Review of Trends, Attitudes and Multilingual Learning in Research on Cross-Linguistic Influence
University essay from Göteborgs universitet / LärarutbildningsnämndenAbstract : This literature review identifies what trends and attitudes can be found and how the multilingual learning process is depicted in research on cross-linguistic influence (CLI) between 2009 and 2023. The aim of this is partly to investigate the changes that have followed the EU’s commitment to reinforce multilingualism and to compare current research with historical findings. READ MORE
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4. Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using transfer learning and pre-trained models based on the Transformer architecture. READ MORE
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5. Evaluating and optimizing Transformer models for predicting chemical reactions
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. READ MORE