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Digital Innovation in Faculty Development: Crafting Academic Portfolios for the Next Era

Procedia computer Science 2024年 246卷 4075-4083页

作者： Hideyuki Kanematsu Akiko Ogawa Takeshi Kogo Risa Kawai Dana M. Barry Nobuyuki Ogawa Shin-nosuke Suzuki Goichi Hagiwara Kayoko Kurita National Institute of Technology (KOSEN) Suzuka College Shiroko-cho Suzuka Mie 510-0294 Dept. Materials & Manufacturing Science Graduate School of Engineering Osaka University 2-1 Yamada-Oka Suita Osaka 565-0871 Japan Faculty of Science Nara Women’s University Uoya Nishimachi Nara 630-8506 Nara Pref. Japan Department of Electrical & Computer Engineering Clarkson University Potsdam/SUNY Canton Canton NY USA National Institute of Technology (KOSEN) Gifu College Kami-makuwa Motosu Gifu 510-0495 Japan National Institute of Technology (KOSEN) 771 Nakakuki Oyama Tochigi 323-0806 Japan Faculty of Human Sciences Kyushu Sangyo University Matsukadai 2-chome Higashi-ku Fukuoka-shi Fukuoka 813-8503 Japan Center for Research and Development in Higher Education the University of Tokyo 7-3-1 Hongo Bunkyo-ku 113-0033m Tokyo Japan

This paper presents one project on integrating digital innovation in faculty development by creating academic portfolios. Academic portfolios document the multifaceted achievements of faculty members and help them in their professional progress and self-evaluation. This initiative adopted a systematic approach following the TU guidelines, incorporating lectures, mentoring, and collaborative sessions, and guiding educators to create portfolios that integrate teaching, research, and service activities. The project’s use of digital tools enabled time efficiency, accessibility, and iterative improvement and improved the transparency and scope of faculty performance. The digital platform also facilitated real-time feedback and integration of the portfolio with a wider digital repository, which aligns with environmentally sustainable practices. Participant feedback highlighted increased motivation and a deeper understanding of the interaction between teaching and research. The project demonstrated that the digital portfolio powerfully aligned teachers’ activities with their professional ethos and promoted continuous development and personal growth goals. This approach suggests the potential for transforming faculty development in the academic community.

关键词： Academic Portfolio faculty development SAP sheet

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Enhanced design matrix for task-related fMRI data analysis

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NeuroImage 2021年 245卷 118719-118719页

作者： Morante, Manuel Kopsinis, Yannis Chatzichristos, Christos Protopapas, Athanassios Theodoridis, Sergios Dept. of Electronic Systems Aalborg University Denmark Computer Technology Institutes & Press “Diophantus” (CTI) Patras Greece LIBRA MLI Ltd Edinburgh United Kingdom Dept. Electrical Engineering (ESAT) Dynamical Systems Signal Processing and Data Analytics (STADIUS) KU Leuven Belgium Dept. of Special Needs Education of the University of Oslo Norway Dept. of Informatics and Telecommunications of the National and Kapodistrian University of Athens Greece

In this paper, we introduce a novel methodology for the analysis of task-related fMRI data. In particular, we propose an alternative way for constructing the design matrix, based on the newly suggested Information-Assisted Dictionary Learning (IADL) method. This technique offers an enhanced potential, within the conventional GLM framework, (a) to efficiently cope with uncertainties in the modeling of the hemodynamic response function, (b) to accommodate unmodeled brain-induced sources, beyond the task-related ones, as well as potential interfering scanner-induced artifacts, uncorrected head-motion residuals and other unmodeled physiological signals, and (c) to integrate external knowledge regarding the natural sparsity of the brain activity that is associated with both the experimental design and brain atlases. The capabilities of the proposed methodology are evaluated via a realistic synthetic fMRI-like dataset, and demonstrated using a test case of a challenging fMRI study, which verifies that the proposed approach produces substantially more consistent results compared to the standard design matrix method. A toolbox extension for SPM is also provided, to facilitate the use and reproducibility of the proposed methodology. © 2021

关键词： Dictionary learning fMRI General linear model (GLM) Semi-blind Subject variability

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A statistical analysis approach of plasma dynamics in gyrokinetic simulations of stellarator turbulence

arXiv

引用

arXiv 2022年

作者： Papadopoulos, A.D. Anderson, Johan Kim, E.-J. Mavridis, M. Isliker, H. School of Electrical and Computer Engineering National Technical University of Athens 157 80 Greece Department of Space Earth and Environment Chalmers University of Technology GöteborgSE-412 96 Sweden Centre for Fluid & Complex Systems Coventry University Priory St CoventryCV1 5FB United Kingdom Dept. of Physics Aristotle University of Thessaloniki Thessaloniki541 24 Greece

A geometrical method is used for the analysis of stochastic processes in plasma turbulence. Distances between thermodynamic states can be computed according the thermodynamic length methodology which allows the use of a Riemannian metric on the phase space. A geometric methodology is suitable in order to understand stochastic processes involved in e.g. order-disorder transition, where a sudden increase in distance is expected. Gyrokinetic simulations of Ion-Temperature-Gradient (ITG) mode driven turbulence in the core-region of the stellarator W7-X, with realistic quasi-isodynamic topologies are considered. In gyrokinetic plasma turbulence simulations avalanches, e.g. of heat and particles, are often found and in this work a novel method for detection is investigated. This new method combines the Singular Spectrum Analysis algorithm and Hierarchical Clustering such that the gyrokinetic simulation time series is decomposed into a part of useful physical information and noise. The informative component of the time series is used for the calculation of the Hurst exponent, the Information Length and the Dynamic Time. Based on these measures the physical properties of the time series is revealed. © 2022, CC BY.

关键词： Time series

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A Robust MPC Energy Scheduling Strategy for Multi-Carrier Microgrids

A Robust MPC Energy Scheduling Strategy for Multi-Carrier Mi...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Raffaele Carli Graziana Cavone Tomas Pippia Bart De Schutter Mariagrazia Dotoli Dept. of Electrical and Information Engineering Polytechnic of Bari Bari Italy Delft Center for Systems and Control Delft University of Technology Delft The Netherlands

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

We present a Robust Model Predictive Control (RMPC) approach for multi-carrier microgrids, i.e., microgrids based on gas and electricity. The microgrid that we consider includes thermal loads, electrical loads, renewable energy sources, energy storage systems, heat pumps, and combined heat and power plants. Moreover, the system under control is affected by several external disturbances, e.g., uncertainty in renewable energy generation, electrical and thermal demand. The goal of the controller is to minimize the overall economical cost and the energy exchange with the main grid, while guaranteeing comfort. Whereas several RMPC methods have been developed for electrical or thermal microgrids, little or no attention has been devoted to robust control of multi-carrier microgrids. Therefore, we consider a novel RMPC algorithm that can improve the performance with respect to classical deterministic Model Predictive Control (Det-MPC) controllers in the context of multi-carrier microgrids. The RMPC method relies on the box-uncertainty-set robust optimization, where uncertain parameters are assumed to take their values from different intervals independently. The RMPC approach is able to successfully satisfy the constraints even in the presence of the mentioned disturbances. Simulations of a realistic residential case study show the benefits of the proposed approach with respect to Det-MPC controllers.

关键词： Microgrids Cogeneration Robustness Uncertainty Thermal energy Boilers Resistance heating

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C, Si and Sn Implantation of CVD Diamond as a means of Enhancing Subsequent Etch Rate

引用

MRS Online Proceedings Library 2020年第1期843卷 321-326页

作者： P. W. Leech T. Perova R. A. Moore G. K. Reeves A. S. Holland M. Ridgway CSIRO Manufacturing and Infrastructure Technology Clayton Australia Dept. of Electronic and Electrical Engineering University of Dublin Trinity College Ireland School of Computer Systems and Elect. Eng. RMIT University Melbourne Australia Dept. of Electronic Materials Engineering ANU Canberra Australia

Diamond films were implanted with C+, Si+ or Sn+ ions at multiple energies in order to generate a uniform region of implantation-induced disorder. Analysis of the C+ implanted surfaces by micro-Raman spectroscopy has shown only minor increase in the proportion of non-diamond or sp2-bonded carbon at doses of 5 × 1013 - 5 × 1015 ions/cm2. In comparison, an amorphization of the structure was evident after implantation with either Si+ ions at a dose of 5 x 1015 ions/cm2 or with Sn+ ions at ≥5 × 1014 ions/cm2. At a given implantation dose, the etch rate of the diamond film in a CF4/O2plasma increased with the mass of the implanted species in the order of C+, Si+ and Sn+. For a given implant species, the etch rate was directly proportional to vacancy concentration as controlled by the dose or the implantation-induced disorder.

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A Temperature-Compensated Class-AB Parametric Residue Amplifier for SAR-Assisted Pipeline ADCs

A Temperature-Compensated Class-AB Parametric Residue Amplif...

引用

IEEE International Symposium on Circuits and systems (ISCAS)

作者： João Goes Benjamin Tardivel João de Melo João Marques Department of Electrical and Computer Engineering (DEEC) of Faculty of Sciences and Technology NOVA University of Lisbon Center for Technology and Systems (CTS) at UNINOVA 2829-516 Caparica Portugal ADESTO Tecnologies Rua dos Inventores Madan Parque 2825-182 Caparica Portugal

ISBN: (数字)9781728133201

ISBN: (纸本)9781728133218

A novel temperature compensated class-AB residue amplifier based on MOS parametric amplification to be used in high-speed SAR-assisted pipeline ADCs is presented in this paper. The proposed circuit has been designed in a 28-nm standard CMOS process with a 0.9 V nominal power supply. The simulated class-AB fully-dynamic parametric amplifier has an open-loop nominal gain of 6× V/V, while dissipates 550 μW at 1 GHz. It achieves a gain variation bounded to ±3 % across the junction temperature range of −40 °C to 125 °C and it reaches a power-to-conversion-speed ratio better than 5.5 × 10 −13 W/Hz representing a factor of about 4 times of energy-efficiency improvement when compared with the state-of-the-art.

关键词： Gain Logic gates Manganese Pipeline processing Pipelines Temperature distribution Energy efficiency

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Computational Approaches to Explainable Artificial Intelligence: Advances Intheory, Applications and Trends

SSRN

引用

SSRN 2023年

作者： Górriz, Juan Manuel Álvarez-Illán, I. Álvarez-Marquina, A. Arco, J.E. Atzmueller, M. Ballarini, F. Barakova, E. Bologna, G. Bonomini, P. Castellanos-Dominguez, G. Castillo-Barnes, D. Cho, S.B. Contreras, R. Cuadra, J.M. Domínguez, E. Domínguez-Mateos, F. Duro, R.J. Elizondo, D. Fernández-Caballero, A. Fernandez-Jover, E. Formoso, M.A. Gallego-Molina, N.J. Gamazo, J. García González, J. Garcia-Rodriguez, J. Garre, C. Garrigós, J. Gómez-Rodellar, A. Gómez-Vilda, P. Graña, M. Guerrero-Rodriguez, B. Hendrikse, S.C.F. Jimenez-Mesa, C. Jodra-Chuan, M. Julian, V. Kotz, G. Kutt, K. Leming, M. de Lope, J. Macas, B. Marrero-Aguiar, V. Martinez, J.J. Martinez-Murcia, F.J. Martínez-Tomás, R. Mekyska, J. Nalepa, G.J. Novais, P. Orellana, D. Ortiz, A. Palacios-Alonso, D. Palma, J. Pereira, A. Pinacho-Davidson, P. Pinninghoff, M.A. Ponticorvo, M. Psarrou, A. Ramírez, J. Rincón, M. Rodellar-Biarge, V. Rodríguez-Rodríguez, I. Roelofsma, P.H.M.P. Santos, J. Salas-Gonzalez, D. Salcedo-Lagos, P. Segovia, F. Shoeibi, A. Silva, M. Simic, D. Suckling, J. Treur, J. Tsanas, A. Varela, R. Wang, S.H. Wang, W. Zhang, Y.D. Zhu, H. Zhu, Z. Ferrández-Vicente, J.M. SiPBA at Data Science and Computational Intelligence Institute University of Granada Granada Spain University of Granada Granada Spain Dept. of Psychiatry University of Cambridge Cambridge United Kingdom Dept. of Communications Engineering University of Malaga Malaga Spain School of Computing and Mathematical Sciences University of Leicester Leicester United Kingdom Semantic Information Systems Group Osnabrück University Osnabrück Germany Osnabrück Germany Dept. of Electronics Computer Technology and Projects Universidad Politécnica de Cartagena Cartagena Spain Universitat Politècnica de València València Spain Institute of Applied Computer Science Jagiellonian University Kraków Poland Dept. of Information and Communication Engineering University of Murcia Murcia Spain Dept. of Computer Science and Information Technologies University of A Coruña A Coruña Spain Dept. of Computer Science University of Oviedo Oviedo Spain Buenos Aires Argentina Buenos Aires Argentina Eindhoven University of Technology Eindhoven5612 AZ Netherlands Dept. of Computer Science University of Malaga Malaga Spain De Montfort University Leicester United Kingdom Dept. of Computer Science Faculty of Engineering Universidad de Concepción Concepción Chile Neurocognition and Emotion Research Unit Albacete Research Institute of Informatics University of Castilla-La Mancha Albacete Spain Dept. of Educational Informatics Universidad de Concepción Concepción Chile Madrid Spain Dept. of Humanistic Studies University of Naples Federico II Napoli Italy Escuela Técnica Superior de Ingeniería Informática Universidad Rey Juan Carlos Campus de Móstoles Móstoles Madrid28933 Spain Neuromorphic Speech Processing Lab Center for Biomedical Technology Universidad Politécnica de Madrid Campus de Montegancedo Pozuelo de Alarcón Madrid28223 Spain Biomedical Research Networking Center in Mental Health Instituto de Salud Carlos III Madrid28016 Spain Usher Institute Faculty o

Groundbreaking advances in theoretical and applied Artificial Intelligence (AI). DL algorithms are groundedin non-linear and complex artificial neural systems that progressively extract higher-level features from *** is frequently compared with human-level performance in real-world tasks, such as clinical diagnostics. Itis also a turning point in solving otherwise intractable problems in the design of virtual agents or robotics;orin providing novel insight into disease progress in genomics and Neuroimaging (NI), understanding humanbrain function, the automation of industrial processes based on computer vision, and so on. In this paper, themost relevant advances from the last few years in AI and several applications to neuroscience, neuroimaging,computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-ofthe-art in AI methods, models and applications within a collection of works presented at the 9th InternationalConference on the Interplay between Natural and Artificial Computation (IWINAC). The works presentedin this paper are excellent examples of new scientific discoveries made in laboratories that are successfullytransferred to real-life applications. © 2023, The Authors. All rights reserved.

关键词： Neuroimaging

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WaveTTS: Tacotron-based TTS with joint time-frequency domain loss

arXiv

引用

arXiv 2020年

作者： Liu, Rui Sisman, Berrak Bao, Feilong Gao, Guanglai Li, Haizhou Inner Mongolia University China Dept. of Electrical and Computer Engineering National University of Singapore Singapore Information Systems Technology and Design Singapore University of Technology and Design Singapore

Tacotron-based text-to-speech (TTS) systems directly synthesize speech from text input. Such frameworks typically consist of a feature prediction network that maps character sequences to frequency-domain acoustic features, followed by a waveform reconstruction algorithm or a neural vocoder that generates the time-domain waveform from acoustic features. As the loss function is usually calculated only for frequency-domain acoustic features, that doesn’t directly control the quality of the generated time-domain waveform. To address this problem, we propose a new training scheme for Tacotron-based TTS, referred to as WaveTTS, that has 2 loss functions: 1) time-domain loss, denoted as the waveform loss, that measures the distortion between the natural and generated waveform;and 2) frequency-domain loss, that measures the Mel-scale acoustic feature loss between the natural and generated acoustic features. WaveTTS ensures both the quality of the acoustic features and the resulting speech waveform. To our best knowledge, this is the first implementation of Tacotron with joint time-frequency domain loss. Experimental results show that the proposed framework outperforms the baselines and achieves high-quality synthesized speech. Copyright © 2020, The Authors. All rights reserved.

关键词： Frequency domain analysis

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Pulse and spectral responses of laser-excited twisted silica few-mode optical fiber with improved height of quasi-step refractive index profile

Pulse and spectral responses of laser-excited twisted silica...

引用

Optical Technologies for Telecommunications 2021

作者： Bourdine, Anton V. Dashkov, Michael V. Kuznetsov, Artem A. Demidov, Vladimir V. Evtushenko, Alexander S. Barashkin, Alexey Yu. Ter-Nersesyants, Egishe V. Vasilets, Alexander A. Morozov, Oleg G. Burdin, Vladimir A. Dukelskii, Konstantin V. Sakhabutdinov, Airat Zh. Zaitseva, Elena S. Gizatulin, Azat R. Meshkov, Ivan K. Dmitriev, Eugeniy V. Ismail, Yaseera Petruccione, Francesco Singh, Ghanshyam Tiwari, Manish Yin, Juan Dept. of Communications Lines Povolzhskiy State University of Telecommunications and Informatics 77 Moscow av. Samara443090 Russia JSC Scientific Production Association State Optical Institute Named after Vavilov S.I. 36/1 Babushkin street St. Petersburg192171 Russia OptoFiber Lab LLC Skolkovo Innovation Center 7 Nobel street Moscow143026 Russia Dept. of Photonics and Communication Lines Saint Petersburg State University of Telecommunications Named after M.A. Bonch-Bruevich 22 Bolshevikov av. St. Petersburg193232 Russia Kazan National Research State University Named after A.N. Tupolev-KAI Dept. of Radiophotonics and Microwave Technologies 10 Karl Marx str. Kazan420111 Russia Faculty of Management and Engineering Business Kazan Innovative University Named after V.G. Timiryasov 42 Moskovskaya str. Kazan420111 Russia Faculty of Photonics and Optical Information School of Photonics ITMO University bldg. A 49 Kronverksky alley St. Petersburg197101 Russia Dept. of Telecommunication Systems Ufa State Aviation Technical University Karl Marx str. Ufa450000 Russia Dept. of Quantum Communication Systems Research Kazakova str. 16 Moscow105064 Russia Quantum Research Group School of Chemistry and Physics University of KwaZulu-Natal Durban4001 South Africa National Institute for Theoretical Physics KwaZulu-Natal South Africa Dept. of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur J.L.N Road Rajasthan Jaipur302017 India School of Electrical and Electronics and Communication Engineering Manipal University Jaipur Dehmi Kalan Off Jaipur-Ajmer Expressway Rajasthan Jaipur303007 India Division of Quantum Physics and Quantum Information University of Science and Technology of China No.99 Xiupu Road Pudong District Shanghai China

ISBN: (纸本)9781510656451

This work presents some results of pulse and spectral responses, performed for laser-excited pilot sample of earlier on designed and fabricated chiral silica few-mode optical fiber (FMF) with induced twisting 66 revolutions per meter (rpm), typical (for telecommunication optical fibers) cladding diameter 125 µm, weakly increased core diameter up to 11 µm and numerical aperture NA=0.22, corresponding to improved height of quasi-step refractive index profile. Described FMF 11/125 provides propagation of 4 and 6 guided modes over "C"and "O"-bands, respectively. We present results of tests, focused on researches of few-mode effects, occurring under laser-excited optical signal propagation over pilot sample optical fiber, and their influence on pulse and spectral responses, including some measurements, performed for fiber Bragg grating, recorded in tested FMF 11/125. © 2022 SPIE.

关键词： Fiber Bragg gratings

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Roadmap on Neuromorphic Photonics

arXiv

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arXiv 2025年

作者： Brunner, Daniel Shastri, Bhavin J. Al-Qadasi, Mohammed A. Ballani, H. Barbay, Sylvain Biasi, Stefano Bienstman, Peter Bilodeau, Simon Bogaerts, Wim Böhm, Fabian Brennan, G. Buckley, Sonia Cai, Xinlun Strinati, Marcello Calvanese Canakci, B. Charbonnier, Benoit Chemnitz, Mario Chen, Yitong Cheung, Stanley Chiles, Jeff Choi, Suyeon Christodoulides, Demetrios N. Chrostowski, Lukas Chu, J. Clegg, J.H. Cletheroe, D. Conti, Claudio Dai, Qionghai Di Lauro, Luigi Diamantopoulos, Nikolaos-Panteleimon Dinc, Niyazi Ulas Ewaniuk, Jacob Fan, Shanhui Fang, Lu Franchi, Riccardo Freire, Pedro Gentilini, Silvia Gigan, Sylvain Giorgi, Gian Luca Gkantsidis, C. Gladrow, J. Goi, Elena Goldmann, M. Grabulosa, A. Gu, Min Guo, Xianxin Hejda, Matěj Horst, F. Hsieh, Jih-Liang Hu, Jianqi Hu, Juejun Huang, Chaoran Hurtado, Antonio Jaurigue, Lina Kalinin, K.P. Kamalian-Kopae, Morteza Kelly, D.J. Khajavikhan, Mercedeh Kremer, H. Laydevant, Jeremie Lederman, Joshua C. Lee, Jongheon Lenstra, Daan Li, Gordon H.Y. Li, Mo Li, Yuhang Lin, Xing Lin, Zhongjin Lis, Mieszko Lüdge, Kathy Lugnan, Alessio Lupo, Alessandro Lvovsky, A.I. Manuylovich, Egor Marandi, Alireza Marchesin, Federico Massar, Serge McCaughan, Adam N. McMahon, Peter L. Moralis-Pegios, Miltiadis Morandotti, Roberto Moser, Christophe Moss, David J. Mukherjee, Avilash Nikdast, Mahdi Offrein, B.J. Oguz, Ilker Oripov, Bakhrom O'Shea, G. Ozcan, Aydogan Parmigiani, F. Pasricha, Sudeep Pavanello, Fabio Pavesi, Lorenzo Peserico, Nicola Pickup, L. Pierangeli, Davide Pleros, Nikos Porte, Xavier Primavera, Bryce A. Prucnal, Paul Psaltis, Demetri Puts, Lukas Qiao, Fei Rahmani, B. Raineri, Fabrice Ríos Ocampo, Carlos A. Robertson, Joshua Romeira, Bruno Roques-Carmes, Charles Rotenberg, Nir Rowstron, A. Schoenhardt, Steffen Schwartz, Russell L.T. Shainline, Jeffrey M. Shekhar, Sudip Skalli, A. Sohoni, Mandar M. Sorger, Volker J. Soriano, Miguel C. Spall, James Stabile, Ripalta Stiller, Birgit Sunada, Satoshi Tefas, Anastasios Tossoun, Bassem Tsakyridis, Apostolos Turitsyn, Sergei K. Van der Sande, G Université Marie et Louis Pasteur CNRS UMR 6174 Institut FEMTO-ST Besançon25000 France Centre for Nanophotonics Department of Physics Engineering Physics & Astronomy Queen's University Canada Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada Microsoft Research Cambridge United Kingdom Université Paris-Saclay CNRS Centre de Nanosciences et de Nanotechnologies France Nanoscience Laboratory Department of Physics University of Trento Italy Photonics Research Group Department of Information Technology Ghent University imec Belgium Princeton University NJ United States Hewlett Packard Labs Hewlett Packard Enterprise Böblingen Germany National Institute of Standards and Technology BoulderCO United States State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat-sen University China Enrico Fermi Research Center Rome Italy Université Grenoble-Alpes CEA Leti Grenoble France Leibniz-Institute of Photonic Technology Jena Germany Institute of Applied Optics and Biophysics Jena Germany Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering North Carolina State University NC United States Department of Electrical Engineering Stanford University CA United States University of Southern California Los AngelesCA United States Department of Physics Sapienza University Rome Italy Institute for Complex Systems National Research Council Rome Italy Varennes Canada NTT Device Technology Labs NTT Corporation Kanagawa Atsugi Japan Institute of Electrical and Microengineering School of Engineering École Polytechnique Fédérale de Lausanne Switzerland Edward L. Ginzton Laboratory Stanford University StanfordCA United States Department of Electronic Engineering Tsinghua University China Beijing National Research Center for Information Science and Technology Tsinghua University China Aston Univ

Neuromorphic photonics are processors inspired by the human brain and enabled by light (photons) instead of traditional electronics. Neuromorphic photonics and its associated concepts are experiencing a significant resurgence, building on foundational research from the 1980s and 1990s. This renewed momentum is driven by breakthroughs in photonic integration, nonlinear optics, and advanced materials, alongside the growing necessity of neuro-inspired computing in numerous applications of economic and societal relevance. The increasing demand for energy-efficient artificial intelligence (AI) solutions underscores the need for innovation and a cohesive vision to address key challenges, including scalability, energy efficiency, precision, and standardized performance benchmarks. Together, these efforts present an opportunity to establish a unique photonic advantage with practical, real-world applications. This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field. The roadmap introduces various approaches to embedding the high-complexity transformations central to neuromorphic computing, focusing on frequency, delay, and spectral embeddings. This is followed by a discussion of architectures of photonic neural networks (PNNs) and an in-dept. analysis of methods for implementing these architectures in photonic hardware. Dedicated sections delve into integrated photonic hardware, the realization of photonic weights and memories, and the optimization of training processes for photonic neuromorphic architectures. The roadmap concludes by exploring numerous potential applications, highlighting the challenges and advances necessary to transition neuromorphic photonic computing from a primarily academic pursuit to a technolog

关键词： Philosophical aspects

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