1.5k citations
- City University of Hong KongHK4 papers
- Institut National de la Recherche ScientifiqueCA4 papers
- Monash UniversityAU4 papers
- RMIT UniversityAU4 papers
- Swinburne University of TechnologyAU4 papers
- Xi'an Institute of Optics and Precision MechanicsCN4 papers
- University of Electronic Science and Technology of ChinaCN3 papers
- The University of MelbourneAU2 papers
- Amgen (United States)US1 paper
- Australian Institute of Tropical Health and MedicineAU1 paper
- BOKU UniversityAT1 paper
- CEA GrenobleFR1 paper
9 papers
Mathematical models of Plasmodium vivax transmission: a scoping review
Md Nurul Anwar, Lauren Smith, Angela Devine +8
Plasmodium vivax is one of the most geographically widespread malaria parasites in the world due to its ability to remain dormant in the human liver as hypnozoites and subsequently…
Quantifying the HIV reservoir with dilution assays and deep viral sequencing
Sarah C. Lotspeich, Brian D. Richardson, Pedro L. Baldoni +2
People living with HIV on antiretroviral therapy often have undetectable virus levels by standard assays, but "latent" HIV still persists in viral reservoirs. Eliminating these res…
Photonic single perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks
Mengxi Tan, Xingyuan Xu, David J. Moss
Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency. We report a novel approach to ONNs that uses integrated K…
Optical neuromorphic processing at Tera-OP/s speeds based on Kerr soliton crystal microcombs
Mengxi Tan, Xingyuan Xu, David J. Moss
Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features…
Soliton crystal Kerr microcombs for high-speed, scalable optical neural networks at 10 GigaOPs/s
Xingyuan Xu, Mengxi Tan, David J. Moss
Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency. We report a new approach to ONNs based on integrated Kerr…
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks
Xingyuan Xu, Mengxi Tan, Bill Corcoran +9
Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features…