15 citations · 19 across the 3 of their papers we have counts for
4 papers
Multidimensional photonic computing
Ivonne Bente, Shabnam Taheriniya, Francesco Lenzini +5
The rapidly increasing demands for computational throughput, bandwidth, and memory capacity fueled by breakthroughs in machine learning pose substantial challenges for conventional…
Probabilistic Photonic Computing with Chaotic Light
Frank Brückerhoff-Plückelmann, Hendrik Borras, Bernhard Klein +10
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data, a task that poses significant challenges…
Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff-Plückelmann +4
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn,…
In-memory computing on a photonic platform
Carlos Ríos, Nathan Youngblood, Zengguang Cheng +5
Collocated data processing and storage are the norm in biological systems. Indeed, the von Neumann computing architecture, that physically and temporally separates processing and m…