Sökning: "Brain-inspired computing"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Brain-inspired computing.
1. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. LÄS MER
2. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER
3. Investigating the use of Semiconductor Nanowires for Neural Networks
Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenSammanfattning : In this work, we intend to employ nanowires for the realisation of an artificial neuron which can be used to design a neural network that will guide the new generation of non-von Neumann architectures such as Neuromorphic Computing. Possible applications are strongly related to Neuromorphic architectures and artificial intelligence, such as high-performance computers, robotics hardware and autonomous drones. LÄS MER
4. Micromagnetic Study of Current Induced Domain Wall Motion for Spintronic Synapses
Master-uppsats, Uppsala universitet/Energimaterialens fysikSammanfattning : Neuromorphic computing applications could be made faster and more power efficient by emulating the function of a biological synapse. Non-conventional spintronic devices have been proposed that demonstrate synaptic behavior through domain wall (DW) driving. LÄS MER
5. Critical Branching Regulation of the E-I Net Spiking Neural Network Model
Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikSammanfattning : Spiking neural networks (SNN) are dynamic models of biological neurons, that communicates with event-based signals called spikes. SNN that reproduce observed properties of biological senses like vision are developed to better understand how such systems function, and to learn how more efficient sensor systems can be engineered. LÄS MER