Essays about: "computational Intelligence"
Showing result 16 - 20 of 92 essays containing the words computational Intelligence.
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16. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. READ MORE
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17. Development of AI/ML Methods for Advanced Device Localization in Beyond 5G Systems
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. READ MORE
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18. Decentralized Learning over Wireless Networks with Imperfect and Constrained Communication : To broadcast, or not to broadcast, that is the question!
University essay from Linköpings universitet/KommunikationssystemAbstract : The ever-expanding volume of data generated by network devices such as smartphones, personal computers, and sensors has significantly contributed to the remarkable advancements in artificial intelligence (AI) and machine learning (ML) algorithms. However, effectively processing and learning from this extensive data usually requires substantial computational capabilities centralized in a server. READ MORE
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19. Deep learning for temporal super-resolution of 4D Flow MRI
University essay from KTH/Matematik (Avd.)Abstract : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. READ MORE
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20. Register Caching for Energy Efficient GPGPU Tensor Core Computing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The General-Purpose GPU (GPGPU) has emerged as the predominant computing device for extensive parallel workloads in the fields of Artificial Intelligence (AI) and Scientific Computing, primarily owing to its adoption of the Single Instruction Multiple Thread architecture, which not only provides a wealth of thread context but also effectively hide the latencies exposed in the single threads executions. As computational demands have evolved, modern GPGPUs have incorporated specialized matrix engines, e. READ MORE