Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"AI training"”.
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A critical analysis of the intersection between copyright law and artificial intelligence
… relationship between artificial intelligence (AI) and copyright law, focusing on two main aspects: AI's use of copyrighted works for training purposes (AI inputs) and AI's generation of new works that may be eligible for copyright protection (AI outputs). The central research question of this …
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Dora: QoE-aware hybrid parallelism for distributed edge AI
With the proliferation of edge AI applications, satisfying user quality of experience (QoE) requirements, such as model inference latency, has become a first-class objective, as these models operate in resource-constrained settings and directly interact with users. Yet, modern AI models routinely …
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Inverse Constitutional AI
… used to finetune LLMs. Inverse Constitutional AI (ICAI) is presented as a novel interpretability framework to discover the principles underlying preference datasets. Motivated by the Constitutional AI training paradigm of instilling principles in models, ICAI aims to extract a succinct …
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Barriers to the Adoption of Artificial Intelligence Techniques for Credit Scoring Systems: An Exploratory Study in Jordanian Banks
Artificial Intelligence (AI) integration in Jordanian banking sector, particularly AI-based Credit Scoring Systems (AI-CSSs), offers transformative potential for credit risk management. AI-CSSs can enhance predictive accuracy, reducing of human errors and bias, promote financial inclusion, …
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Exploring the Impact of Artificial Intelligence in Artistic Practice : A Case Study of Finnish Contemporary Artists
… artists use artificial intelligence (AI) in their artistic practice. As AI technology rapidly evolves, I explore how these artists use AI tools, how this affects their creative work and identity, and what opportunities and challenges they see. My research aims to understand the …
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Is AI Good for All? Ethical Concerns for the Training and Implementation of AI-Driven Decision-Making Systems
Artificial intelligence (AI) systems increasingly mediate social and economic interactions. They automate a wide range of decisions, such as the best candidate for a job, and the information that should be allowed (or censored) online. To avoid a dystopian, algorithm-based future, it is paramount …
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Using Principles from Cognitive Science to Analyze and Guide Language-Related Neural Networks
… to human experience, is not uniquely the domain of humans. AI systems, typically neural networks, exhibit startling language processing capabilities from generating plausible text to modeling simplified language evolution. To what extent are such AI models learning language in a “human-like” …
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Development of Lung Ultrasound Quantitative Approaches and Automatic Semi-Quantitative Strategies: In Silico, In Vitro, and Clinical Studies
… the anatomy of internal body parts, LUS is mainly based on the visual interpretation of imaging artifacts. Among which, the so-called vertical artifacts are particularly important as they correlate with various pathologies. The main limitations associated with this type of pattern analysis …
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Künstliche Intelligenz und Recht in den GCC-Staaten
… in den Vereinigten Arabischen Emiraten, Bahrain und Saudi-Arabien. Im Mittelpunkt steht die Frage, unter welchen urheber- und datenschutzrechtlichen Voraussetzungen große Datenmengen für das Training von KI-Systemen genutzt werden dürfen. Methodisch folgt die Untersuchung einem …
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Towards image registration of dynamic contrast enhanced MRI using deep learning
… From this, datasets were created and used to train and test models. The results showed that strategically using available data (pre-training and fine tuning using different splits of contrast enhancement) leads to better-performing, robust models. However, achieving this effectively requires a …