Browse by Relators
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Number of items: 10.
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Antonio Sirica.
A Multi-Agent AI Assistant for Intelligent Research and Neuromorphic Application Development.
Rel. Gianvito Urgese, Vittorio Fra, Salvatore Tilocca. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Simone Delvecchio.
Optimization of Spiking Neural Networks execution on low-power microcontrollers.
Rel. Gianvito Urgese, Andrea Pignata, Vittorio Fra. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Aurora Gruber.
Spiking LSTM on Loihi 2: A Neuromorphic Reinterpretation of Recurrent Networks.
Rel. Gianvito Urgese, Vittorio Fra, Walter Gallego Gomez, Yulia Sandamirskaya. Politecnico di Torino, Master of science program in Computer Engineering, 2025
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Hesamedin Alemifar.
Empowering Enterprises with Lightweight Large Language Models: Automated "Rule Card" Extraction from Grant Documents.
Rel. Gianvito Urgese, Vittorio Fra. Politecnico di Torino, Master of science program in Digital Skills For Sustainable Societal Transitions, 2025
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Francesco Guarino.
Bridging Neuromorphic Platforms for Customized Recurrent Spiking Neural Networks: Human Activity Recognition from snnTorch to Intel Loihi 2.
Rel. Gianvito Urgese, Vittorio Fra. Politecnico di Torino, Master of science program in Computer Engineering, 2024
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Salvatore Tilocca.
Exploring Brain-Inspired Multi-Sensor Data Fusion Models for Improving Performances in Navigation and Tracking Applications.
Rel. Gianvito Urgese, Vittorio Fra. Politecnico di Torino, Master of science program in Computer Engineering, 2024
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Benedetto Leto.
LIF-based Legendre Memory Unit: neuromorphic redesign of a recurrent architecture and its application to human activity recognition.
Rel. Gianvito Urgese, Vittorio Fra. Politecnico di Torino, Master of science program in Computer Engineering, 2024
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Marco Bramini.
Designing an end-to-end Pipeline for Developing and Deploying IoT Solutions on Embedded Neuromorphic Platforms.
Rel. Gianvito Urgese, Giacomo Indiveri, Vittorio Fra. Politecnico di Torino, Master of science program in Computer Engineering, 2023
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Andrea Pignata.
Development of a synchronized acquisition system based on a BLE-sensor network for real time IoT applications.
Rel. Gianvito Urgese, Vittorio Fra, Evelina Forno, Walter Gallego Gomez. Politecnico di Torino, Master of science program in Computer Engineering, 2022
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Riccardo Pignari.
Impact of Encoding Techniques on the Classification of Raw Time-Variant Signals with Spiking Neural Networks.
Rel. Gianvito Urgese, Evelina Forno, Vittorio Fra. Politecnico di Torino, Master of science program in Physics Of Complex Systems, 2022
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