“We are very pleased to have signed this new partnership distribution agreement with OptoSigma, an experienced and reliable partner in the photonics industry. Flash Photonics will distribute these products through its website and existing sales channels. The products are the ULWZ/LWZ, long working distance optical zoom microscopes, both manual or motorized versions, in addition to the fixed magnification OUCI (Optical Units with Co-Axial Illumination), modules and other offerings moving forward. Within the agreement, OptoSigma will manufacture unique microscope imaging modules and systems for high-resolution imaging and inspection applications. The agreement includes distribution of OptoSigma’s imaging modules and microscope systems, in addition to complimentary components, within the North and South American markets, via the Flash Photonics website and sales channels. July 2020: Flash Photonics, a global manufacturer of photonic systems and components based in the USA, with divisions in China, has entered into a new partnership and distribution agreement with OptoSigma. Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms.Seminole, FL., Santa Ana, CA. Photonic integrated circuits have enabled ultrafast artificial neural networks, providing a framework for a new class of information processing machines. Algorithms running on such hardware have the potential to address the growing demand for machine learning and artificial intelligence in areas such as medical diagnosis, telecommunications, and high-performance and scientific computing. In parallel, the development of neuromorphic electronics has highlighted challenges in that domain, particularly related to processor latency. Neuromorphic photonics offers sub-nanosecond latencies, providing a complementary opportunity to extend the domain of artificial intelligence. Here, we review recent advances in integrated photonic neuromorphic systems, discuss current and future challenges, and outline the advances in science and technology needed to meet those challenges. Google’s neural machine translation system: bridging the gap between human and machine translation. DNA methylation-based classification of central nervous system tumours. A million spiking-neuron integrated circuit with a scalable communication network and interface. Loihi: a neuromorphic manycore processor with on-chip learning. Optical logic-in the light of computer technology. Machine learning for discriminating quantum measurement trajectories and improving readout. Machine learning at the energy and intensity frontiers of particle physics. Fast inference of deep neural networks in FPGAs for particle physics. Predicting disruptive instabilities in controlled fusion plasmas through deep learning. Machine learning with neuromorphic photonics. Solving high-dimensional partial differential equations using deep learning. Deep learning with coherent nanophotonic circuits. In-datacenter performance analysis of a tensor processing unit. 44th Annual International Symposium on Computer Architecture 1–12 (Association for Computing Machinery, 2017). Training of photonic neural networks through in situ backpropagation and gradient measurement. Demonstration of multivariate photonics: blind dimensionality reduction with integrated photonics. Demonstration of photonic neural network for fiber nonlinearity compensation in long-haul transmission systems. In Optical Fiber Communication Conference Th4C–6 (Optical Society of America, 2020). Field and lab experimental demonstration of nonlinear impairment compensation using neural networks. Ultrafast all-optical implementation of a leaky integrate-and-fire neuron.
0 Comments
Leave a Reply. |