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Showing result 21 - 25 of 215 essays matching the above criteria.
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21. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE
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22. Remaining Useful Life Prediction of Power Electronic Devices Using Recurrent Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The growing demand for sustainable technology has led to an increased application of power electronics. As these devices are often exposed to harsh conditions, their reliability is a primary concern for both manufacturers and users. READ MORE
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23. Deep Learning in the Web Browser for Wind Speed Forecasting using TensorFlow.js
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning is a powerful and rapidly advancing technology that has shown promising results within the field of weather forecasting. Implementing and using deep learning models can however be challenging due to their complexity. READ MORE
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24. 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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25. Cell Tower Localization using crowdsourced measurments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis explores the application of a neural network approach to cell tower localization using crowdsourced measurements. The deployment of cell tower infrastructure has been increasing exponentially in recent times as it is a crucial element of mobile communications. READ MORE