CORDIS Project
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This project focuses on neuromorphic engineering to enhance energy efficiency in artificial synapses and neurons for Internet of Things applications. By optimizing the design and operation of these components, the project aims to improve the performance of machine learning tasks like digit recognition.
Neuromorphic engineering is an emerging bio-inspired discipline that morphs the biological brain on custom silicon.
Although memristors rose as a potential synapse to solve the density challenge in a memristive crossbar, the scalability of the crossbar is limited by its power dissipation and chip area.
To contribute to low power dissipation, I focus on improving the energy efficiency of the synapses (non-filamentary category) and neurons, which are the fundamental constituents of the neural netw…
POLITECNICO DI MILANO
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Switzerland, Rueschlikon
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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