1 citations · 1 across the 5 of their papers we have counts for
5 papers
TEGRA -- Scaling Up Terascale Graph Processing with Disaggregated Computing
William Shaddix, Mahyar Samani, Marjan Fariborz +3
Graphs are essential for representing relationships in various domains, driving modern AI applications such as graph analytics and neural networks across science, engineering, cybe…
Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits
S. J. Ben Yoo, Luis El-Srouji, Suman Datta +11
The human brain has immense learning capabilities at extreme energy efficiencies and scale that no artificial system has been able to match. For decades, reverse engineering the br…
Experimental Demonstration of Imperfection-Agnostic Local Learning Rules on Photonic Neural Networks with Mach-Zehnder Interferometric Meshes
Luis El Srouji, Mehmet Berkay On, Yun-Jhu Lee +2
Mach-Zehnder Interferometric meshes are attractive for low-loss photonic matrix multiplication but are challenging to program. Using least-squares optimization of directional deriv…
0.08 fF, 0.72 nA dark current, 91% Quantum Efficiency, 38 Gb/s Nano-photodetector on a 45 nm CMOS Silicon-Photonic Platform
Mingye Fu, S. J. Ben Yoo
We demonstrated a Germanium-on-Silicon photodetector utilizing an asymmetric-Fabry-Perot resonator with 0.08 fF capacitance. The measurements at 1315.5 nm show 0.72 nA (3.40 nA) da…
Scalable Nanophotonic-Electronic Spiking Neural Networks
Luis El Srouji, Yun-Jhu Lee, Mehmet Berkay On +2
Spiking neural networks (SNN) provide a new computational paradigm capable of highly parallelized, real-time processing. Photonic devices are ideal for the design of high-bandwidth…