{"id":769,"date":"2019-04-30T11:16:58","date_gmt":"2019-04-30T09:16:58","guid":{"rendered":"http:\/\/iwann.uma.es\/2019\/?page_id=769"},"modified":"2019-05-31T14:10:13","modified_gmt":"2019-05-31T12:10:13","slug":"ainanophotonics","status":"publish","type":"page","link":"http:\/\/iwann-old.uma.es\/2019\/?page_id=769","title":{"rendered":"AINanophotonics"},"content":{"rendered":"

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Artificial Intellegence in nanophotonics (IWANN workshop)<\/span><\/b><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\n12-Jun<\/span><\/td>\n\u00a0<\/span><\/td>\n13-Jun<\/span><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nSession AI@NF 1<\/span><\/b><\/td>\nChair: Nikolay Zheludev<\/span><\/td>\n\u00a0<\/span><\/td>\nSession AI@NF 4<\/span><\/b><\/td>\nChair: Cesare Soci<\/span><\/td>\n<\/tr>\n
09:00-9:45<\/span><\/b><\/td>\nProf David A. B. Miller, Stanford University (Keynote) (#72)<\/span><\/b><\/td>\nSelf-configuring optical mesh networks<\/span><\/b><\/td>\n09:00-9:45<\/span><\/b><\/td>\nProf Bhavin Shastri, Queen’s University (Keynote) (#182)<\/span><\/b><\/td>\nAdvances in Neuromorphic Photonics<\/span><\/b><\/td>\n<\/tr>\n
9:45-10:00 Discussion<\/span><\/td>\n9:45-10:00 Discussion<\/span><\/td>\n<\/tr>\n
10:00<\/span><\/td>\nProf Haim Suchowski, Tel Aviv University (#71)<\/span><\/td>\nDeep Learning for Design and Retrieval of Nano-photonic Structures<\/span><\/td>\n10:00<\/span><\/td>\nProf Vladimir Shalaev, Purdue University (#52)<\/span><\/td>\nArtificial-Intelligence-Assisted Approach for Speeding Up Quantum Optical Measurements<\/span><\/td>\n<\/tr>\n
10:30<\/span><\/td>\nDr Daniel Brunner, CNRS, FEMTO ST Institute (#30)<\/span><\/td>\nGreedy reinforcement learning in large photonic neural networks: empirical findings of convexity and scaling<\/span><\/td>\n10:30<\/span><\/td>\nProf Mark I. Stockman, Georgia State University (#88)<\/span><\/td>\nQuantum Solids in Ultrafast Strong Laser Fields: Topological Nanophotonic Phenomena<\/span><\/td>\n<\/tr>\n
11:00<\/span><\/td>\nCoffee<\/span><\/td>\n\u00a0<\/span><\/td>\n11:00<\/span><\/td>\nCoffee<\/span><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nSession AI@NF 2<\/span><\/b><\/td>\nChair: Allan Miller<\/span><\/td>\n\u00a0<\/span><\/td>\nSession AI@NF 5<\/span><\/b><\/td>\nChair: Nader Engheta<\/span><\/td>\n<\/tr>\n
11:30<\/span><\/td>\nProf Andrea Fratalocchi, KAUST (#49)<\/span><\/td>\nMachine learning metamaterials with 98% experimental efficiency and 50 nm thickness for broadband vectorial light control<\/span><\/td>\n11:30<\/span><\/td>\nDr Ben Mills, Univ. of Southampton (#167)<\/span><\/td>\nSmart Predictive Laser Materials Processing via Deep Learning<\/span><\/td>\n<\/tr>\n
12:00<\/span><\/td>\nProf Junsuk Rho, POSTECH (#28)<\/span><\/td>\nDeep learning assisted design of plasmonic nanostructures and metamaterials<\/span><\/td>\n12:00<\/span><\/td>\nProf Brian E. Hayden, Univ. of Southampton (#114)<\/span><\/td>\nBuilding a Materials and Device Data-Bases for the Development of Photonic Nano-Structures through Machine Learning<\/span><\/td>\n<\/tr>\n
12:30<\/span><\/td>\nProf Alexandra Boltasseva, Purdue University (#50)<\/span><\/td>\nMachine-Learning-Assisted Topology Optimization for Refractory Photonics<\/span><\/td>\n12:30<\/span><\/td>\nProf Cesare Soci
\n<\/span><\/td>\n		Cognitive Photonic Networks<\/span><\/td>\n<\/tr>\n
13:00<\/span><\/td>\nPlenary (IWANN)<\/span><\/b><\/td>\n\u00a0<\/span><\/td>\n13:00<\/span><\/td>\nProf Marin Soljacic, MIT (IWANN Plenary) (#25)<\/span><\/b><\/td>\nNeural Networks and Photonics (plenary)<\/span><\/b><\/td>\n<\/tr>\n
13:30<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n13:30<\/span><\/td>\n<\/tr>\n
14:00<\/span><\/td>\nLunch<\/span><\/td>\n\u00a0<\/span><\/td>\n14:00<\/span><\/td>\nLunch<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
14:30<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n14:30<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
15:00<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n15:00<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
15:30<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n15:30<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nSession AI@NF 3<\/span><\/b><\/td>\nChair: Paul Prucnal<\/span><\/td>\n\u00a0<\/span><\/td>\nSession AI@NF 6<\/span><\/b><\/td>\nChair: Marin Soljacic<\/span><\/td>\n<\/tr>\n
16:00-16:45<\/span><\/b><\/td>\nProf Nader Engheta, University of Pennsylvania (Keynote) (#105)<\/span><\/b><\/td>\nMetamaterial Computing Machines<\/span><\/b><\/td>\n16:00<\/span><\/td>\nDr Laura Pilozzi, Institute for Complex Systems (ISC), CNR (#102)<\/span><\/td>\nTopological photonic phases through artificial neural networks<\/span><\/td>\n<\/tr>\n
16:45 -17:00 Discussion<\/span><\/td>\n16:30<\/span><\/td>\nDr Marina Radulaski, Stanford University\/ UC Davis (#64)<\/span><\/td>\nNanophotonic Architecture for Machine Learning Hardware<\/span><\/td>\n<\/tr>\n
17:00<\/span><\/td>\nProf Uriel Levy, The Hebrew University, Israel
\n<\/span><\/td>\n		TBA<\/span><\/td>\n17:00<\/span><\/td>\nJavier Garc\u00eda de Abajo, ICFO (#120)<\/span><\/td>\nAnalog computing with optical excitations in the near field<\/span><\/td>\n<\/tr>\n
17:30<\/span><\/td>\nMr Logan Wang Su, Stanford University (#51)<\/span><\/td>\nFrom inverse design to implementation of practical photonics<\/span><\/td>\n17:30<\/span><\/td>\nDr Predrag Milojkovic, US Office of Naval Research Global (#158)<\/span><\/td>\nIntroduction to Office of Naval Research Global – Naval Science and Technology International Office<\/span><\/td>\n<\/tr>\n
18:00<\/span><\/td>\nProf Claudio Conti, Sapienza University of Rome<\/td>\nDeep reservoir computing in tumor cells and Ising machines by spatial light modulators<\/td>\n18:00<\/span><\/td>\nDr. Satoshi Kako, NTT Basic Research Laboratories<\/span><\/td>\nCoherent Ising Machine – Optical Neural Network operating at the Quantum Limit<\/span><\/td>\n<\/tr>\n
18:30<\/span><\/td>\nCoffee<\/span><\/td>\n18:30<\/span><\/td>\nCoffee<\/span><\/td>\n<\/tr>\n
19:00<\/span><\/td>\nPoster<\/span><\/td>\n\u00a0<\/span><\/td>\n19:00<\/span><\/td>\nPoster<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
19:30<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n19:30<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
20:00<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n20:00<\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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 <\/p>\n\n<\/colgroup>\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u00a0<\/span><\/td>\nAccepted presentations<\/span><\/b><\/td>\n<\/tr>\n
25<\/span><\/td>\nMarin Soljacic. Neural Networks and Photonics<\/span><\/td>\n<\/tr>\n
28<\/span><\/td>\nJunsuk Rho. Designing nanophotonic structures using conditional- deep convolutional generative adversarial network<\/span><\/td>\n<\/tr>\n
30<\/span><\/td>\nDaniel Brunner. Greedy reinforcement learning in large photonic neural networks: empirical findings of convexity and scaling<\/span><\/td>\n<\/tr>\n
49<\/span><\/td>\nFedor Getman, Maksim Makarenko, Andrea Fratalocchi and Arturo Burguete Lopez. Machine learning metamaterials with 98% experimental efficiency and 50 nm thickness for broadband vectorial light control<\/span><\/td>\n<\/tr>\n
50<\/span><\/td>\nZhaxylyk Kudyshev, Alexander Kildishev, Vlad Shalaev and Alexandra Boltasseva. Machine-Learning-Assisted Topology Optimization for Refractory Photonics<\/span><\/td>\n<\/tr>\n
51<\/span><\/td>\nLogan Su and Jelena Vuckovic. From inverse design to implementation of practical photonics<\/span><\/td>\n<\/tr>\n
52<\/span><\/td>\nZhaxylyk Kudyshev, Simeon Bogdanov, Theodor Isacsson, Alexander Kildishev, Alexandra Boltasseva and Vladimir Shalaev. Artificial-Intelligence-Assisted Approach for Speeding Up Quantum Optical Measurements<\/span><\/td>\n<\/tr>\n
61<\/span><\/td>\nHamza Kurt. Design of different nanophotonic structures beyond intuition<\/span><\/td>\n<\/tr>\n
64<\/span><\/td>\nMarina Radulaski, Ranojoy Bose, Tho Tran, Thomas Van Vaerenbergh and Raymond Beausoleil. Nanophotonic Architecture for Machine Learning Hardware<\/span><\/td>\n<\/tr>\n
71<\/span><\/td>\nItzik Malkiel, Michael Mrejen, Achiya Nagler, Uri Arieli, Lior Wolf and Haim Suchowski. Deep Learning for Design and Retrieval of Nano-photonic Structures<\/span><\/td>\n<\/tr>\n
72<\/span><\/td>\nDavid Miller. Self-configuring optical mesh networks<\/span><\/td>\n<\/tr>\n
88<\/span><\/td>\nMark Stockman. Quantum Solids in Ultrafast Strong Laser Fields: Topological Nanophotonic Phenomena<\/span><\/td>\n<\/tr>\n
102<\/span><\/td>\nLaura Pilozzi, Francis A. Farrelly, Giulia Marcucci and Claudio Conti. Topological photonic phases through artificial neural networks.<\/span><\/td>\n<\/tr>\n
105<\/span><\/td>\nNader Engheta. Metamaterial Computing Machines<\/span><\/td>\n<\/tr>\n
114<\/span><\/td>\nBrian Hayden. Building a Materials and Device Data-Bases for the Development of Photonic Nano-Structures through Machine Learning.<\/span><\/td>\n<\/tr>\n
120<\/span><\/td>\nJavier Garc\u00eda de Abajo. Analog computing with optical excitations in the near field<\/span><\/td>\n<\/tr>\n
158<\/span><\/td>\nPredrag Milojkovic. Introduction to Office of Naval Research Global – Naval Science and Technology International Office<\/span><\/td>\n<\/tr>\n
167<\/span><\/td>\nBen Mills, Daniel Heath, James Grant-Jacob, Yunhui Xie, Benita Mackay, Michael McDonnell, Matthew Praeger and Robert W. Eason. Smart Predictive Laser Materials Processing via Deep Learning<\/span><\/td>\n<\/tr>\n
181<\/span><\/td>\nBhavin Shastri, Alexander Tait, Mitchell Nahmias, Thomas Ferreira de Lima, Hsuan-Tung Peng and Paul Prucnal. Application for Neuromorphic Silicon Photonics<\/span><\/td>\n<\/tr>\n
182<\/span><\/td>\nPaul R. Prucnal, Alexander Tait, Mitchell Nahmias, Thomas Ferreira de Lima, Hsuan-Tung Peng and Bhavin Shastri. Advances in Neuromorphic Photonics<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

  Artificial Intellegence in nanophotonics (IWANN workshop) \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 12-Jun \u00a0 13-Jun \u00a0 Session AI@NF 1 Chair: Nikolay Zheludev \u00a0 Session AI@NF 4 Chair: Cesare Soci 09:00-9:45 Prof David A. B. Miller, Stanford University (Keynote) (#72) Self-configuring optical mesh networks 09:00-9:45 Prof Bhavin Shastri, Queen’s University (Keynote) (#182) Advances in Read more about AINanophotonics<\/span>[…]<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=\/wp\/v2\/pages\/769"}],"collection":[{"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=769"}],"version-history":[{"count":5,"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=\/wp\/v2\/pages\/769\/revisions"}],"predecessor-version":[{"id":810,"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=\/wp\/v2\/pages\/769\/revisions\/810"}],"wp:attachment":[{"href":"http:\/\/iwann-old.uma.es\/2019\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}