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most cited11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks

1.5k citations

Showing 2023Show all

67 papers · 1 filter

cs.LG2023★ 8 cited

Balanced Graph Structure Information for Brain Disease Detection

Falih Gozi Febrinanto, Mujie Liu, Feng Xia

Analyzing connections between brain regions of interest (ROI) is vital to detect neurological disorders such as autism or schizophrenia. Recent advancements employ graph neural net…

cs.AI2023★ 42 cited

From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape

Timothy R. McIntosh, Teo Susnjak, Tong Liu +2

This comprehensive survey explored the evolving landscape of generative Artificial Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts (MoE…

cs.LG2023★ 7 cited

Entropy Causal Graphs for Multivariate Time Series Anomaly Detection

Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa +4

Many multivariate time series anomaly detection frameworks have been proposed and widely applied. However, most of these frameworks do not consider intrinsic relationships between…

cond-mat.mtrl-sci2023

Deep-level structure of the spin-active recombination center in dilute nitrides

A. C. Ulibarri, C. T. K. Lew, S. Q. Lim +5

A Gallium interstitial defect (Ga) is thought to be responsible for the spectacular spin-dependent recombination (SDR) in GaAsN dilute nitride semiconduc…

physics.optics2023★ 43 cited

Programmable high-dimensional Hamiltonian in a photonic waveguide array

Yang Yang, Robert J. Chapman, Ben Haylock +4

Waveguide lattices offer a compact and stable platform for a range of applications, including quantum walks, topological effects, condensed matter system simulation, and classical…

cond-mat.mes-hall2023★ 10 cited

The influence of pinholes and weak-points in aluminium-oxide Josephson junctions

K. Bayros, M. J. Cyster, J. S. Smith +1

Josephson junctions are the key components used in superconducting qubits for quantum computing. The advancement of quantum computing is limited by a lack of stability and reproduc…