Essays about: "hardware acceleration"
Showing result 1 - 5 of 80 essays containing the words hardware acceleration.
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1. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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2. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. READ MORE
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3. KARTAL: Web Application Vulnerability Hunting Using Large Language Models : Novel method for detecting logical vulnerabilities in web applications with finetuned Large Language Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Broken Access Control is the most serious web application security risk as published by Open Worldwide Application Security Project (OWASP). This category has highly complex vulnerabilities such as Broken Object Level Authorization (BOLA) and Exposure of Sensitive Information. READ MORE
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4. 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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5. Motion tracking for virtual reality using inertial motion sensors
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Human motion capture has until recently been dominated by camera-based solutions. With advancements within Micro Electro-Mechanical Systems (MEMS) technology new Inertial Measurement Unit (IMU) based solutions are being explored. This thesis explores the possibility of using IMUs for augmenting motion tracking for Virtual Reality (VR). READ MORE