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Yu H.,Tsinghua National Laboratory for Information Sciences and Technology | Yu H.,Tsinghua University | Chen M.,Tsinghua National Laboratory for Information Sciences and Technology | Chen M.,Tsinghua University | And 13 more authors.
IEEE Photonics Journal | Year: 2015

Digital signal processing has achieved great success in the field of signal processing over the past several decades. However, as the bandwidth requirement increases, the power consumption and effective number of bits (ENOB) of the analog-to-digital convertor (ADC) have become bottlenecks. One solution is returning to analog and applying microwave photonic technologies, which shows potential for multiband signal processing. In this paper, a programmable integrated analog photonic signal processor based on cascaded Mach-Zehnder interferometers (MZIs) and a channelized filter has been proposed. Different shapes of the signal processor can be acquired for different applications. The highest processing resolution is 143 MHz, and the processing range of the signal processor can be higher than 112.5 GHz. An application of the signal processor for the signal extraction in a radio frequency (RF) photonic frontend operating from L-band to K-band is presented. © 2009-2012 IEEE.


Yu H.,Tsinghua National Laboratory for Information Sciences and Technology | Yu H.,Tsinghua University | Chen M.,Tsinghua National Laboratory for Information Sciences and Technology | Chen M.,Tsinghua University | And 11 more authors.
Conference on Optical Fiber Communication, Technical Digest Series | Year: 2015

A full-band RF receiver ranging from L- to W-band based on the ultra-high Q bandpass filter has been proposed and experimentally demonstrated. The SFDR of the receiver from C- to K-band are larger than 114dB-Hz2/3. © 2015 OSA.


Yu H.,Tsinghua National Laboratory for Information Sciences and Technology | Yu H.,Tsinghua University | Wang J.,Tsinghua National Laboratory for Information Sciences and Technology | Wang J.,Tsinghua University | And 12 more authors.
2016 Optical Fiber Communications Conference and Exhibition, OFC 2016 | Year: 2016

A mutli-band photonic-assisted RF photonic frontend based on the high Q bandpass filter has been experimentally demonstrated at U- and V-band. The SFDR from 40 GHz to 65 GHz are larger than 95 dB-Hz2/3. © 2016 OSA.


Yu H.,Tsinghua National Laboratory for Information Sciences and Technology | Yu H.,Tsinghua University | Li Y.,Tsinghua National Laboratory for Information Sciences and Technology | Li Y.,Tsinghua University | And 12 more authors.
2016 Optical Fiber Communications Conference and Exhibition, OFC 2016 | Year: 2016

A bandpass filter with a record high-Q of approximately 80 million is proposed, based on the electromagnetic-induced-transparency (EIT)-like effect in TM mode, which is the highest Q of the ever published integrated bandpass filters. © 2016 OSA.


Yu H.,Tsinghua National Laboratory for Information Sciences and Technology | Chen M.,Tsinghua National Laboratory for Information Sciences and Technology | Guo Q.,Tsinghua National Laboratory for Information Sciences and Technology | Hoekman M.,LioniX | And 6 more authors.
Journal of Lightwave Technology | Year: 2016

Ultra-broadband radiofrequency (RF) receivers are required in higher frequency-band wireless communications, radar communications or multi-band applications in radio telescopes. Such ultra-broadband receivers are inherently difficult to establish with electronics because of limits in the bandwidth of the devices. Photonic means of RF photonic receivers/frontends can overcome the bandwidth limitation in electrical receivers. One aspect that should be considered is the precise signal processing in the optical domain. Here, a full-band (from the L-band to the W-band) all-optical RF receiver based on the Si3N4 microring filter is proposed and experimentally demonstrated. The resolution and processing range of the filter are lower than 420 MHz and larger than 112.9 GHz (FSR larger than 225.78 GHz), respectively, and the out-band suppression of this filter is greater than 40 dB. The center frequency of the filter can be altered for more than one FSR by tuning the phase-shifter on top of the ring. The performance of the full-band all-optical RF-receiver has been discussed, and the spurious free dynamic range of the receiver from the L-band to the Ka-band (limited by the bandwidth of the modulator in our experiment) has been measured to be larger than 111.6 dB·Hz2/3. © 1983-2012 IEEE.


Tuesday, 22nd of November, 2016, Baltimore, MD - Insilico Medicine, Inc and YMK Photonics, Inc announced today a research collaboration and business cooperation to develop photonics quantum computing and accelerated deep learning techniques for drug discovery, biomarker development and aging research. On the 15th of November, 2016 in the presence of over 800 YMK employees, customers, partners and investors, the Chairman of YMK Holdings, Mr. Kim Young Mo, the CEO of Insilico Medicine, Alex Zhavoronkov, PhD and Head of Insilico Korea, Professor Youngsook Park signed a memorandum of understanding to pursue mutual benefit in deep learning and cognitive photonics computing. "YMK is pursuing a very big vision. Extending healthy human longevity is not only the most altruistic cause, but a pressing socio-economic necessity. Insilico Medicine made substantial advances in applying deep learning techniques to drug development and aging research, but to accelerate the process and simulate entire human bodies and populations or generate optimal molecular structures, they could really benefit from our expertise in quantum computing. This collaboration is the first step towards cognitive quantum photonic computation for drug discovery and longevity research", said Mr. Kim Young Mo, the Chairman of YMK Holdings. YMK Photonics and its joint venture in Netherlands, LioniX International B.V. are developing core photonics technologies targeting many applications ranging from telecommunications to optical diagnostic devices. The company is extending its reach into cognitive quantum photonic computing and intends to establish a broad range of research as well as practical commercial collaborations. "Quantum computing, artificial intelligence and longevity are among the trends that are going to transform our society in the near future. I am happy to facilitate this research collaboration between YMK and Insilico Medicine intended to develop practical applications for photonic cognitive computing in the drug discovery space. Insilico Medicine is hiring best talent in AI through hackathons and can build very complex systems quickly and accelerate drug discovery process beyond what is possible using traditional methods", said professor Youngsook Park, Korea's leading futurist and bestselling author. Earlier this year Insilico Medicine published several seminal papers where deep learning techniques are applied to drug discovery (Aliper et al, "Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data." (2016), Molecular pharmaceutics) and biomarker development (Putin, et al, "Deep biomarkers of human aging: Application of deep neural networks to biomarker development." (2016), Aging ) and demonstrated the proof of concept of using the Generative Adversarial Networks (GANs) to produce new molecular structures with certain specifications. Furthermore, on November 16th, Insilico Medicine published an important paper on dimensionality reduction of gene expression data (Ozerov, et al, "iPANDA: a novel approach for precision medicine and drug discovery on gene expression data" (2016), Nature Communications) paving the way for big data-driven projects. "Our conglomerate approach to photonics development allows us to occupy many niches, where our core technology is essential. One of such niches is quantum computing for deep learning. In this context, drug discovery and biomarker development seems to be a logical place to start", said William Jang, CTO of YMK Photonics. The the directions of this research collaboration were described in a 1.5-hour joint lecture at the Imperial Palace Hotel in Korea and announced to the Korean press: http://ymkphotonics. "We are happy to collaborate with YMK Photonics, one of the leaders in photonics chips. Quantum computing is the next frontier in artificial intelligence research and we would like to harness its power for biomedical applications and specifically drug discovery and aging research", said Alex Zhavoronkov, PhD, CEO of Insilico Medicine, Inc. YMK Holdings Co., Ltd. is a investment company located in Seoul, the Republic of Korea. It nurtures and invests in disruptive technologies to create limitless values and to contribute boosting current economy. In addition, it provides various high-end consulting services related to Mergers & Acquisition, oversea investment, establishing distribution channels of high-tech products, etc. http://www. YMK Photonics Co., Ltd., funded by YMK Holdings, is a developing photonics businesses with leading Korean conglomerates and medium-sized competitive enterprises. It is currently focusing on commercializing handheld Optical Coherence Tomography for skin care application, and on assembling and manufacturing of chips in a mass-volume to enable it to lead the photonics market. http://www. Insilico Medicine, Inc. is a bioinformatics company located at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore with R&D resources in Belgium, Russia and Poland hiring talent through hackathons and competitions. It utilizes advances in genomics, big data analysis and deep learning for in silico drug discovery and drug repurposing for aging and age-related diseases. The company pursues internal drug discovery programs in cancer, Parkinson's, Alzheimer's, sarcopenia and geroprotector discovery. Through its Pharma.AI division the company provides advanced machine learning services to biotechnology, pharmaceutical and skin care companies. Brief company video: https:/


Yagur-Kroll S.,Hebrew University of Jerusalem | Schreuder E.,LioniX | Ingham C.J.,MicroDish BV | Heideman R.,LioniX | And 2 more authors.
Biosensors and Bioelectronics | Year: 2014

The use of live bacterial reporters as sensing entities in whole-cell biosensors allows the investigation of the biological effects of a tested sample, as well as the bioavailability of its components. Here we present a proof of concept for a new design for online continuous water monitoring flow-cell biosensor, incorporating recombinant reporter bacteria, engineered to generate an optical signal (fluorescent or bioluminescent) in the presence of the target compound(s). At the heart of the flow-cell is a disposable chip made of porous aluminum oxide (PAO), which retains the sensor microorganisms on its rigid planar surface, while its high porosity allows an undisturbed access both to the sample and to essential nutrients. The ability of the bacterial reporters to detect model toxic chemicals was first demonstrated using a "naked" PAO chip placed on solid agar, and later in a chip encased in a specially designed flow-through configuration which enables continuous on-line monitoring. The applicability of the PAO chip to simultaneous online detection of diverse groups of chemicals was demonstrated by the incorporation of a 6-member sensor array into the flow-through chip. The selective response of the array was also confirmed in spiked municipal wastewater effluents. Sensing activity was retained by the bacteria after 12-weeks storage of freeze-dried biochips, demonstrating the biochip potential as a simple minimal maintenance "plug-in" cartridge. This low-cost and easy to handle PAO-based flow-cell biosensor may serve as a basis for a future platform for water quality monitoring. © 2014 Elsevier B.V.

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