Essays about: "Machine Design"
Showing result 6 - 10 of 1050 essays containing the words Machine Design.
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6. 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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7. Machine learning for molecular property prediction and drug safety
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. READ MORE
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8. Challenges in Specifying Safety-Critical Systems with AI-Components
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE
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9. A Software Process Workflow for Smart Anomaly Detection Systems
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The use of smart anomaly detection systems is set to increase at organisations during the Industry 4.0 era, for use in Predictive Maintenance (PdM). READ MORE
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10. Investigating the Accuracy of Metric-Based versus Machine Learning Approaches in Detecting Design Patterns
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Design pattern detection approaches have evolved, with machine-learning methods gaining prominence. However, implementing machine-learning models can be challenging due to extensive training requirements and the need for large labeled design pattern datasets. READ MORE