Publications (5)
All-optical nonlinear activation function based on stimulated Brillouin scattering
Grigorii Slinkov, Steven Becker, Dirk Englund +1
Photonic neural networks have demonstrated their potential over the past decades, but have not yet reached the full extent of their capabilities. One reason for this lies in an ess…
An optoacoustic field-programmable perceptron for recurrent neural networks
Steven Becker, Dirk Englund, Birgit Stiller
A critical feature in signal processing is the ability to interpret correlations in time series signals, such as speech. Machine learning systems process this contextual informatio…
High-speed coherent photonic random-access memory in long-lasting sound waves
Andreas Geilen, Steven Becker, Birgit Stiller
In recent years, remarkable advances in photonic computing have highlighted the need for photonic memory, particularly high-speed and coherent random-access memory. Addressing the…
Brillouin-based storage of QPSK signals with fully tunable phase retrieval
Olivia Saffer, Jesús Humberto Marines Cabello, Steven Becker +2
Photonic memory is an important building block to delay, route and buffer optical information, for instance in optical interconnects or for recurrent optical signal processing. Pho…
Machine learning based luminance analysis of a LED array
Steven Becker
In the past years, the development of LED arrays gained momentum since they combine the advantages of LEDs, such as high brightness and longevity, with a high resolution of…