Zobrazeno 1 - 10
of 606
pro vyhledávání: '"Michael Hochberg"'
Autor:
Sudip Shekhar, Wim Bogaerts, Lukas Chrostowski, John E. Bowers, Michael Hochberg, Richard Soref, Bhavin J. Shastri
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Silicon photonics has developed into a mainstream technology driven by advances in optical communications. The current generation has led to a proliferation of integrated photonic devices from thousands to millions-mainly in the form of comm
Externí odkaz:
https://doaj.org/article/41d59e643f484d059213b769e8de0a8e
Autor:
Edward R. Adlard
Publikováno v:
Chromatographia. 82:1847-1847
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2432b5fb8a85b16b2bc71f74ff97c42b
https://doi.org/10.1007/s10337-019-03810-0
https://doi.org/10.1007/s10337-019-03810-0
Autor:
null SPIE
Publikováno v:
SPIE Newsroom.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2bcb689f253c66662e91a22d2a3eeba
https://doi.org/10.1117/2.3201204.01
https://doi.org/10.1117/2.3201204.01
Autor:
Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P. Ben Dixon, Scott A. Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr-Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk Englund
Publikováno v:
Science. 378:270-276
Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-power devices, such as smartphones and sensors – and this trend is acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0df8438dffca626eeadef5957b7eba89
https://doi.org/10.1126/science.abq8271
https://doi.org/10.1126/science.abq8271
Autor:
Ran Ding, Yang Liu, Qi Li, Zhe Xuan, Yangjin Ma, Yisu Yang, Andy Eu-Jin Lim, Guo-Qiang Lo, Keren Bergman, Tom Baehr-Jones, Michael Hochberg
Publikováno v:
IEEE Photonics Journal, Vol 6, Iss 3, Pp 1-8 (2014)
We demonstrate a compact and low-power wavelength-division multiplexing transmitter near a 1550-nm wavelength using silicon microrings. The transmitter is implemented on a silicon-on-insulator photonics platform with a compact footprint of 0.5 mm2. T
Externí odkaz:
https://doaj.org/article/acc883e8cc0e4ebf89fc96c87ea0a211
Autor:
Keren Bergman, Qixiang Cheng, Yishen Huang, Michael Hochberg, Xiang Meng, Madeleine Glick, Nathan C. Abrams, Hao Yang, Meisam Bahadori, Yang Liu
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 26:1-10
Disaggregation enabled by silicon photonic switch fabrics is a path to low-cost and energy-efficient data centers. The routing strategy, which can be seamlessly incorporated into the switch control plane, potentially provides an additional dimension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe1af7189492fea58afde047e90f9b9
https://doi.org/10.1109/jstqe.2019.2960950
https://doi.org/10.1109/jstqe.2019.2960950
Autor:
Matthew Streshinsky, Michael Hochberg, Yishen Huang, Yu-Han Hung, Qixiang Cheng, Xiang Meng, Ari Novack, Keren Bergman, Hang Guan
Publikováno v:
Journal of Lightwave Technology. 38:194-201
We demonstrate the first multi-stage 8 × 8 silicon photonic switch with switching elements based on dual add-drop microrings with a compact footprint of 4 mm2. This device leverages co-design of the switch architecture and the switching elements wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aadbf1447e56e90a72ff58312655a921
https://doi.org/10.1109/jlt.2019.2945941
https://doi.org/10.1109/jlt.2019.2945941
Autor:
Dirk Englund, Philip Walther, Hans J. Briegel, Michael Hochberg, Sabine Wölk, Valeria Saggio, Teodor Strömberg, Nicolai Friis, Nicholas C. Harris, Vedran Dunjko, Beate E. Asenbeck, Arne Hamann, Peter Schiansky
Publikováno v:
Quantum Nanophotonic Materials, Devices, and Systems 2021.
As the field of artificial intelligence is pushed forward, the question arises of how fast autonomous machines can learn. Within artificial intelligence, an important paradigm is reinforcement learning, where agents - learning entities capable of dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b61cac23d96ed88065aa3421e99aa6d
https://doi.org/10.1117/12.2593720
https://doi.org/10.1117/12.2593720
Autor:
Michael Hochberg, Arne Hamann, Peter Schiansky, Vedran Dunjko, Dirk Englund, Sabine Wölk, Teodor Strömberg, Beate E. Asenbeck, Nicolai Friis, Nicholas C. Harris, Hans J. Briegel, Philip Walther, Valeria Saggio
Publikováno v:
Nature
Increasing demand for algorithms that can learn quickly and efficiently has led to a surge of development within the field of artificial intelligence (AI). An important paradigm within AI is reinforcement learning (RL), where agents interact with env
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13ea790cd5035420a03785ac382beea2
https://doi.org/10.1038/s41586-021-03242-7
https://doi.org/10.1038/s41586-021-03242-7
Autor:
Michael Hochberg
Publikováno v:
International Political Economy Series ISBN: 9783030595531
Egypt has made notable progress in advancing its alternative energy agenda, which has incented significant private sector investment in renewable energy. Egypt’s effort to diversify its power generation mix has also led to the pursuit of large-scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d31a1cc7f844bf0f02615e35a7b466
https://doi.org/10.1007/978-3-030-59554-8_7
https://doi.org/10.1007/978-3-030-59554-8_7