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Usa, Lyana (author)Olfactory learning in <i>Drosophila </i>larvae exemplifies efficient neural processing in a small-scale network with minimal power consumption. This system enables larvae to anticipate important outcomes based on new and familiar odor stimuli, a process crucial for survival and adaptation. Central to this learning mechanism is the olfactory...master thesis 2024
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Miedema, Rene (author), Strydis, C. (author)IntroductionIn-silico simulations are a powerful tool in modern neuroscience for enhancing our understanding of complex brain systems at various physiological levels. To model biologically realistic and detailed systems, an ideal simulation platform must possess: (1) high performance and performance scalability, (2) flexibility, and (3) ease of...journal article 2024
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Procaccini, Marco (author), Sahebi, Amin (author), Barbone, Marco (author), Luk, Wayne (author), Gaydadjiev, G. (author), Giorgi, Roberto (author)Processing graphs on a large scale presents a range of difficulties, including irregular memory access patterns, device memory limitations, and the need for effective partitioning in distributed systems, all of which can lead to performance problems on traditional architectures such as CPUs and GPUs. To address these challenges, recent...conference paper 2024
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Palings, Tijs (author)As space technology continues to advance, the landscape of telecommunication is witnessing a transition from traditional radio frequency to laser communication technology, driven by its enhanced efficiency. Notably, laser communication offers the potential for achieving millimeter-level ranging accuracy, thanks to its significantly higher data...master thesis 2023
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Knops, Per (author)X-ray imaging systems play an important role in the diagnostic process of various medical conditions. Generating an accurate artificial X-ray image has multiple advantages. It allows for flexible configurations during generation. The resulting images can reduce testing time and cost, help the training of surgeons, and increase the amount of data...master thesis 2023
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Venth, Simon (author)Modern space systems host increasingly complex payloads in shrinking spacecraft sizes. The data-intensive nature of communication payloads requires sophisticated data handling, where Field Programmable Gate Arrays (FPGAs) play a crucial role. FPGAs, configurable in software, offer custom circuit advantages without high lead times and costs. In...master thesis 2023
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Haenen, Jasper (author)Genomics has revolutionized our understanding of evolution, hereditary diseases, and more. The advent of long-read DNA sequencers i.e. Oxford Nanopore Technologies' innovations, has opened many new research potentials in genomics. These sequencers produce significantly longer DNA reads, facilitating novel applications. However, this...master thesis 2023
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Shen, Zhaofeng (author)Nowadays, to reduce the dependence of devices on cloud servers, machine learning workloads are required to process data on the edge. Furthermore, to improve adaptability to uncontrolled environments, there is a growing need for on-chip learning. Limitations in power and area for edge devices have increased interest in low-cost neural network...master thesis 2023
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Bijl, Robin (author)The ever-increasing demand for computing has led to the need for specialized heterogeneous hardware, and the frameworks required to utilize them. Besides the traditional central processing units, more and more programs will make use of specialized hardware to accelerate computations. However, the increase in computing also leads to shorter mean...master thesis 2023
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Hu, Li Ou (author), Adriaanse, Marijn (author)In the past decades, much progress has been made in the field of AI, and now many different algorithms exist that reach very high accuracies. Unfortunately, many of these algorithms are quite resource intensive, which makes them unavailable on low-cost devices. <br/>The aim of this thesis is to explore algorithms and neural network techniques...bachelor thesis 2023
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Geel, Patrick (author)The demand for implementing neural networks on edge devices has rapidly increased as they allow designers to move away from expensive server-grade hardware. However, due to the limited resources available on edge devices, it is challenging to implement complex neural networks. This study selected the Kria SoM KV260 hardware platform due to its...master thesis 2023
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Rijkeboer, Mats (author)Highly accurate time sources, such as Cesium-based or GPS clocks, are the best candidates to provide a correct notion of time, but are too costly and impractical for implementation in every modern digital device. Ubiquitously, (crystal) oscillators are employed instead. To maintain a shared notion of time, the offsets and drift/jitter have to be...master thesis 2023
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Ji, M. (author), Al-Ars, Z. (author), Hofstee, H.P. (author), Chang, Yuchun (author), Zhang, Baolin (author)Convolutional neural networks (CNNs) are to be effective in many application domains, especially in the computer vision area. In order to achieve lower latency CNN processing, and reduce power consumption, developers are experimenting with using FPGAs to accelerate CNN processing in several applications. Current FPGA CNN accelerators usually use...journal article 2023
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Bruschini, Claudio (author), Burri, Samuel (author), Bernasconi, Ermanno (author), Milanese, Tommaso (author), Ulku, Arin C. (author), Homulle, Harald (author), Charbon-Iwasaki-Charbon, E. (author)The LinoSPAD2 camera combines a 512×1 linear single-photon avalanche diode (SPAD) array with an FPGA-based photon-counting and time-stamping platform, to create a reconfigurable sensing system capable of detecting single photons. The read-out is fully parallel, where each SPAD is connected to a different FPGA input. The hardware can be...conference paper 2023
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Li, H. (author), Rieger, Phillip (author), Zeitouni, Shaza (author), Picek, S. (author), Sadeghi, Ahmad Reza (author)Federated Learning (FL) has become very popular since it enables clients to train a joint model collaboratively without sharing their private data. However, FL has been shown to be susceptible to backdoor and inference attacks. While in the former, the adversary injects manipulated updates into the aggregation process; the latter leverages...conference paper 2023
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Jiang, Longxing (author), Aledo Ortega, D. (author), van Leuken, T.G.R.M. (author)Logarithmic quantization for Convolutional Neural Networks (CNN): a) fits well typical weights and activation distributions, and b) allows the replacement of the multiplication operation by a shift operation that can be implemented with fewer hardware resources. We propose a new quantization method named Jumping Log Quantization (JLQ). The key...conference paper 2023
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Sahebi, Amin (author), Barbone, Marco (author), Procaccini, Marco (author), Luk, Wayne (author), Gaydadjiev, G. (author), Giorgi, Roberto (author)Processing large-scale graphs is challenging due to the nature of the computation that causes irregular memory access patterns. Managing such irregular accesses may cause significant performance degradation on both CPUs and GPUs. Thus, recent research trends propose graph processing acceleration with Field-Programmable Gate Arrays (FPGA)....journal article 2023
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de Laat, Willem (author)The need to receive and process higher data rates in computer clusters is an ever-increasing trend. This also applies to radio-astronomic systems, which have become more distributed over the past decades, increasing data traffic between antennas and processing facilities. At the antenna, Field Programmable Gate Arrays (FPGAs) digitise the radio...master thesis 2022
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Jiang, Longxing (author)Convolutional Neural Networks (CNN) have become a popular solution for computer vision problems. However, due to the high data volumes and intensive computation involved in CNNs, deploying CNNs on low-power hardware systems is still challenging.<br/>The power consumption of CNNs can be prohibitive in the most common implementation platforms:...master thesis 2022
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Garcia Ezquerro, Ignacio (author)The number of IoT devices and their applications is projected to continue increasing in the future, creating a demand for low-power wireless communications that allow IoT devices to either be connected directly to the internet or to use other devices as a back gate to it. BLE is already one of the most used wireless communication protocols for...master thesis 2022