Essays about: "informed machine learning"
Showing result 1 - 5 of 36 essays containing the words informed machine learning.
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1. Applying ChatGPT in AI-based dynamic video game narrative generation system
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : ChatGPT’s release and general availability has the potential to create new possibilities for storytelling in games. There are potential benefits of leveraging ChatGPT to generate a narrative at runtime in a video game, as well as possible resulting pitfalls. READ MORE
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2. Generative AI as a Tool for Swedish Startups - A qualitative study on how Generative AI can affect Swedish startups
University essay from Göteborgs universitet/Graduate SchoolAbstract : In today's rapidly evolving technological landscape, startups are constantly seeking new ways to innovate and stay ahead of the competition. One promising innovation is Generative AI, which uses large datasets to generate original content such as images, music, code, or text (McKinsey & Company, 2022). READ MORE
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3. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors
University essay from Institutionen för tillämpad informationsteknologiAbstract : AI ethicists often claim that where algorithmic decision-making is impacting human lives, it is crucial to strive for transparency and explainability. As one form of achieving these, some authors have argued for socio-technical design of AI systems that involves the user in the design process. READ MORE
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4. Expert Knowledge Elicitation for Machine Learning : Insights from a Survey and Industrial Case Study
University essay from Jönköping University/Jönköping AI Lab (JAIL)Abstract : While machine learning has shown success in many fields, it can be challenging when there are limitations with insufficient training data. By incorporating knowledge into the machine learning pipeline, one can overcome such limitations. Therefore, eliciting expert knowledge can play an important role in the machine learning project pipeline. READ MORE
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5. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension
University essay from Linköpings universitet/Avdelningen för medicinsk teknikAbstract : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). READ MORE