TU Berlin Leads EU Project to Triple Fibre Optic Bandwidth with Spiking Neural Networks
The Technische Universität Berlin (TU Berlin) is spearheading the development of an electrical Spiking Neural Network (SNN) chip to enhance signal quality and data transmission rates in fiber optic networks. This research is part of the EU-funded NOVELOGIC project, exploring innovative signal processing concepts for ultra-scalable data centers.
The TU Berlin team is currently working on the second generation of this neuromorphic chip, aiming to boost speed, efficiency, and compatibility. This project, SpikeHERO, seeks to combine optical and electrical SNN chips, using the SENNA chip developed by Fraunhofer IIS and Fraunhofer EMFT for the electrical component. The goal is to triple bandwidth from 10 GHz to 30 GHz, reduce latency from 10 microseconds to under 6 nanoseconds, and decrease energy consumption from 7-10 watts to 1-2 watts. Spiking neural networks (SNNs) offer a promising advancement in AI, processing information in pulses and requiring only critical relevance thresholds to be exceeded. The project involves partners from the Netherlands, the Czech Republic, and Belgium, and aims to enhance Europe's digital infrastructure and consolidate its technological sovereignty through improved fiber optics.
The TU Berlin's work on the electrical SNN chip, within the NOVELOGIC and SpikeHERO projects, is crucial for the future of fiber optic networks. The second generation of the chip promises even higher spike rates with lower energy consumption, paving the way for more efficient and sustainable data transmission.
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