Search Results for author: Peter Bienstman

Found 6 papers, 0 papers with code

Training a spiking neural network on an event-based label-free flow cytometry dataset

no code implementations19 Mar 2023 Muhammed Gouda, Steven Abreu, Alessio Lugnan, Peter Bienstman

Imaging flow cytometry systems aim to analyze a huge number of cells or micro-particles based on their physical characteristics.

Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping

no code implementations25 Oct 2019 Matthias Freiberger, Peter Bienstman, Joni Dambre

Photonic reservoir computing is a promising candidate for low-energy computing at high bandwidths.

Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout

no code implementations6 Jun 2019 Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman

Using optical hardware for neuromorphic computing has become more and more popular recently due to its efficient high-speed data processing capabilities and low power consumption.

Training Passive Photonic Reservoirs with Integrated Optical Readout

no code implementations8 Oct 2018 Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

As Moore's law comes to an end, neuromorphic approaches to computing are on the rise.

Photonic Delay Systems as Machine Learning Implementations

no code implementations12 Jan 2015 Michiel Hermans, Miguel Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer

We perform physical experiments that demonstrate that the obtained input encodings work well in reality, and we show that optimized systems perform significantly better than the common Reservoir Computing approach.

BIG-bench Machine Learning

Trainable and Dynamic Computing: Error Backpropagation through Physical Media

no code implementations24 Jul 2014 Michiel Hermans, Michaël Burm, Joni Dambre, Peter Bienstman

Machine learning algorithms, and more in particular neural networks, arguably experience a revolution in terms of performance.

speech-recognition Speech Recognition

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