no code implementations • 19 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.
no code implementations • 25 Oct 2019 • Matthias Freiberger, Peter Bienstman, Joni Dambre
Photonic reservoir computing is a promising candidate for low-energy computing at high bandwidths.
no code implementations • 6 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.
no code implementations • 8 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.
no code implementations • 12 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.
no code implementations • 24 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.