Essays about: "AI applications"

Showing result 21 - 25 of 182 essays containing the words AI applications.

1. 21. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Atena Nazem; [2023]
   Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

   Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE

3. 22. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   University essay from Uppsala universitet/Tillämpad kärnfysik

   Author : Wenhan Zhou; [2023]
   Keywords : Transuranus; AI; Nuclear Fuel Rods;

   Abstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE

4. 23. Social Media's Take on Deepfakes: Ethical Concerns in the Public Discourse

   University essay from Uppsala universitet/Informationssystem

   Author : Mohamed Abdul Hussein; William Bogren; [2023]
   Keywords : Artificial Intelligence; Deepfake; Ethics; Social Media; Public discourse; Netnography;

   Abstract : The rapid advancement of artificial intelligence has led to the emergence of deepfake, digital media that has been manipulated to replace a person's likeness with another. This technology has seen significant improvements, becoming easier to use and producing results increasingly difficult to distinguish from reality. READ MORE

5. 24. Low-power Implementation of Neural Network Extension for RISC-V CPU

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Dario Lo Presti Costantino; [2023]
   Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE

6. 25. Exploring AI in Swedish E-commerce: A Qualitative Study on Factors Influencing AI Implementation and its Challenges

   University essay from Lunds universitet/Institutionen för informatik

   Author : Carl Tegnér; Axel Lidvall; [2023]
   Keywords : Artificial Intelligence AI ; Technology-Organization-Environment TOE Framework; AI Readiness Factors; E-commerce; Sweden.; Business and Economics;

   Abstract : This thesis focuses on the adoption of AI within e-commerce in Sweden. A qualitative approach was adopted, interviewing professionals working in the e-commerce sector. Results were presented using the Technology-Organization-Environment (TOE) framework. READ MORE