Sökning: "Neuromorphic Engineering"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Neuromorphic Engineering.

  1. 1. Ru and RuO2 as bottom electrodes for HZO based FTJ’s

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Emil Gränsmark; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Vår hjärna löser beräkningar som tar oss genom livet otroligt energieffektivt; den kör hela dagen runt på ungefär 12 watt. Jämför man med en vanlig dator som kräver ungefär 175 watt så är det inte ens nära[2]. Att uppnå hjärnans energieffektivitet är ett ambitiöst mål för dagens elektronik. LÄS MER

  3. 2. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Dorsa Mohammad; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

    Sammanfattning : 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

  4. 3. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  5. 4. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Alec Guerin; Christos Papadopoulos; [2023]
    Nyckelord :FTJ; Ferroelectric Tunneling Junction; Analog in-memory computing; AIMC; Memristor; A.I.; AIHWKIT; Semantic segmentation; Natural Language Processing; NLP; Neuromorphic Computing; Matrix Vector Multiplication; Technology and Engineering;

    Sammanfattning : 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. LÄS MER

  7. 5. Semiconducting TiO2 for High Performance Ferroelectric Tunnel Junctions

    M1-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Erik Wikare; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The ferroelectric tunnel junction FTJ is a rather old concept but has recently been in the spotlight for its promising properties in computer memory technology and neuromorphic computing. The device consists of a ferroelectric insulator sandwiched between two electrodes, and by polarisation switching the resistance along the heterostructure can drastically be adjusted. LÄS MER