Figure 2. We present numerical simulations of different algorithms that utilize ultrafast photonic spiking neurons as receptive fields to allow for image recognition without an offline computing step. Here we chose b = [24, 47, 20, 60, 91, 9, 67] for receptive fields {V2, V3, V4, H1, H3, H4, H5}, respectively. Arifur Rahman Nayeem, Asif Mohammad, Xiaodong Bai, Md. Note that in this case, the system only fires after at least three consecutive input 1s. Such encoding is believed to play a crucial role in several cognitive processes, such as memory retention and decision-making. Quant. In order to effectively implement this method experimentally, it is imperative to have a substantial disparity between the spike latencies of the two dominant patterns (three or four perturbations in a row). Removing this offline step can significantly improve the response time and energy efficiency of such systems. Comput. Rev. Contributions are welcome from all fields of science, engineering, and technology. in CSE from NIT, Rourkela, Odisha, India. Lett. Nat. It has been demonstrated in a photonic spiking neuron in Selmi et al. Neural Netw. 12.05.23; 14, 715725. We also note that the algorithms presented here are not restricted to these specific setups and could be used in the experimental platforms of Ma et al. doi: 10.1073/pnas.1030017100, Hejda, M. C. V., Alanis, J. Important Note: Input signals can act on I or G, and are defined, respectively as coherent or incoherent. Frontiers in Systems Neuroscience . Neural Netw. AI applications are at the heart of the most successful areas of computing, including recommender systems, speech recognition, automatic drive, strategic game systems, disease diagnosis and treatment, and so on. Abstract Submission Deadline 26 August 2023, Manuscript Submission Deadline 26 December 2023. This method of coding removes the need for the redundant check of receptive fields {V2, V3, V4}, for presence of different patterns, where the temporal position of the output spike (k) contains the information of type and location of the pattern all at once. 40, 56905693. Discover entertainment, involvement and engagement opportunities as a current Seahawk, alumnus, or community member. Rev. By the time students graduate with a Bachelor of Science in ISE, they will have demonstrated fundamental knowledge in: First, you need to apply to UNCW and enroll. Hasan Salman, Md. 19, 112. doi: 10.1364/OE.25.033504, Maass, W. (1997). 01. Publisher Website. (2019). The parameters that were varied in this sweep include the pump value (1), as well as the intensity of the perturbation, represented by the coefficient c. Furthermore, the effects of two additional parameters, namely the bit- and perturbation-times were also considered. Reinforcement learning in a large-scale photonic recurrent neural network. As we will show, this choice can have a significant impact on the performance of the model and on the reduction of the overall computational cost. As an alternative to the previous coding scheme, we can take advantage of the fact that the temporal stamp for each spike, in the event of receiving any of the two predominant patterns, will be unique to that specific pattern. Hardcover. Neural Netw. Spike latency and response properties of an excitable micropillar laser. They can thus be considered as hyperparameters for our problem. Front. We present numerical simulations of different algorithms that utilize . Rank Order Coding. It has been shown to be important biologically for numerous cognitive functions such as sensing pain (Price et al., 1977), seeing in dim light (Warrant, 1999), and auditory perception (Heil and Neubauer, 2003). Alternatively, the latency of the resultant spike can be utilized as a means of differentiating between the two primary patterns, as shown below. PubMed Boston, MA: Springer US, 113118. Nguyen Bao Le is the Vice Provost of the Duy Tan University (DTU), Vietnam, where he is in charge of the Technology & Engineering Division. In this study, we present an algorithmic approach to image recognition that utilizes ultrafast photonic spiking neurons, allowing for a recognition by solely observing the responses of these neurons. Lett. Front. frontiers. In the case of digits with fewer than three output spikes, such as 1 and 7, the order is still unique and distinguishable from other classes. This program creates the "SMART" engineer through an interdisciplinary program that combines Artificial Intelligence, Computer Engineering, Electrical Engineering, Mechanical Engineering, Design, and the Internet of Things. Prof. Suresh Chandra Satapathy is currently working as a Professor, School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). APL Photon. (B) Parameter region where the input sequence 10111 is distinguishable. Interestingly, the summation being a time dependant process, the input sequences 11101 and 10111 can be distinguished in a sizeable parameter range. Frontiers in Digital Humanities. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). E. Frontiers in Earth Science 2.689 Frontiers in Ecology and Evolution 2.416 Frontiers in Education . Face processing using one spike per neurone. This is rendered possible by fixing the pair of parameters, 0 and c, for each considered feature. ISSN Center responsible of the record: ISSN National Centre for the USA, GTU Licence Contact Newsletter FAQ Data sources ISSN 2023, A modification for this record has already been requested, A claiming request for this resource is already in process, https://www.google.com/search?q=ISSN+%222832-6024%22, https://www.bing.com/search?q=ISSN+%222832-6024%22, https://search.yahoo.com/search?p=ISSN%20%222832-6024%22, Access the full version of the ISSN Portal. 16:971937. doi: 10.3389/fnins.2022.971937, Bueno, J., Maktoobi, S., Froehly, L., Fischer, I., Jacquot, M., Larger, L., et al. Self-pulsations of lasers with saturable absorber : dynamics and bifurcations. Received: 12 February 2023; Accepted: 13 June 2023; Published: 03 July 2023. Machine learning as psychological method2. This reduces to seven the number of artificial neurons needed for this coding, while increasing the collected features to 12. As shown in Figure 1, the majority of the features of each digit are oriented horizontally and vertically, and often consist of aligned blocks of pixels. doi: 10.1038/nature23011, Van Rullen, R., Gautrais, J., Delorme, A., and Thorpe, S. (1998). Furthermore, AI as intelligent agent is also perceived, evaluated and judged by humans from instant to instant during the interactions between them.The current research topic mainly calls for the cutting-edge researches in two interrelated fields, i.e., 1) how various AI techniques could be applied to better help us understand the underlying mechanisms and processes by which humans perceive and process the information from the natural or social worlds, and 2) how humans experience and evaluate intelligence agents or AI applications when they interact with them.Topics of interest include but are not limited to:1. , -------------------------------------------------------------------------------------------------. This spike-time coding scheme, which is shown in Table 1b, assigns a temporal position stamp k to each receptive field (Hnk/Vnk), k ranging from 1 to 5, fastest to arrive (lowest latency) to slowest, respectively. His research interests are data mining, machine intelligence, and swarm intelligence. Thus, we expect that the algorithms introduced here can be implemented in many other systems. In this method, each receptive field is input into a photonic neuron with different parameters 0 and c, which are adjusted to detect the desired input feature corresponding to the presence or absence of a specific sequence, as calculated in Figure 2A. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. The ISE program will train the next generation of . doi: 10.1364/OL.40.005690, Selmi, F., Braive, R., Beaudoin, G., Sagnes, I., Kuszelewicz, R., Erneux, T., et al. Rev. On the one hand, AI could learn the way that people judge and make decisions, and thus enrich psychological field and facilitates human life. For 10 years, Midlands native Tristan Kyzer faithfully served his nation as an enlisted man in the U.S. Marine Corps.After leaving the Corps, he used the G.I. I look forward to our journey together - it will be Like No Other., Dr. Karl Ricanek Jr.ise-info@uncw.edu910-962-4261, See Everything happening in thedepartment. Neurosci. On the other hand, there are still many potential threats and dangers in aspects related to human interests at stake, such as diagnosis errors, algorithmic bias, and privacy leaks. doi: 10.1109/JSTQE.2019.2929187, Park, S., Kim, S., Na, B., and Yoon, S. (2020). He has over 17 years of teaching experience, and has published more than 40 publications in various conference proceedings and leading international journals. This program creates the SMART engineer through an interdisciplinary program that combines Artificial Intelligence, Computer Engineering, Electrical Engineering, Mechanical Engineering, Design, and the Internet of Things. Frontiers in Computing and Intelligent Systems, Volume 3, pp 110-112; (2015) and used for ultrafast image processing using VCSELs in Hejda et al. The second incorporates the timing information of the spike arrival (spike-time based). (Top): Corresponding input pump 1(t) (Equation 2) with bit duration b, pump pulse duration p and pump amplitude c. (Middle): Net gain of the micropillar R(t). Use the techniques, skills, and modern engineering tools necessary for engineering practice, Apply knowledge of mathematics, science, and different engineering disciplines, Design and conduct experiments, as well as analyze and interpret data, Design a system or process to meet desired needs within realistic constraints, Identify, formulate, and solve engineering problems, Maintain professional and ethical responsibility. The bit-time represents the duration of time allocated for each pixel to influence the system, while the perturbation-time denotes the duration of the perturbation when it is present. He has edited more than 25 volumes of conference proceedings with Springer Nature (AISC,SIST,LNEE, LNNS Series). (Bottom) Output intensity I(t). Full-Text. doi: 10.1109/JSTQE.2013.2257700, Nakajima, K. (2020). He has acted as program chair of many international conferences and edited over 25 volumes of proceedings from Springer series from LNCS, AISC, LNNS, LNEE, SIST, etc. Our strategy is based on the manipulation of the physical parameters of the micropillar neurons such that they respond to specific input patterns. doi: 10.1016/S0893-6080(01)00083-1, Thorpe, S., and Gautrais, J. Last Change: Copyright 2023 Masominia, Calvet, Thorpe and Barbay. doi: 10.1016/j.neunet.2019.09.024, PubMed Abstract | CrossRef Full Text | Google Scholar, Barbay, S., Kuszelewicz, R., and Yacomotti, A. M. (2011). With the explosion of human digital trace data and the rapid improvement of computing performance in the first two decades of the 21st century, artificial intelligence (AI) has experienced a new Renaissance and been pervasive in our daily life. Removing this offline step can significantly improve the response time and energy efficiency of such systems. Interaction between humans and AI7. High-speed photonic reservoir computing using a time-delay-based architecture: million words per second classification. In the vicinity of the excitable threshold, we can find the parameter region where the difference grows exponentially toward infinity, thus providing a window where the detection of two patterns will be eased. Discover Computer Vision and Machine Learning for Intelligent Sensing Systems by Jing Tian and millions of other books available at Barnes & Noble. Larger, L., Bayln-Fuentes, A., Martinenghi, R., Udaltsov, V. S., Chembo, Y. K., and Jacquot, M. (2017). Frontiers in Computing and Intelligent Systems (FCIS) . We investigate a model task of digit classification utilizing simplified 5 5 binary pixel images of the 10 digits, as depicted in Figure 1A. Our approach to digit recognition is based on the temporal summation property of neurons (Koch, 2004), which results in receptive fields for vertical and horizontal features in the input image. Neurosci. This book presents the proceedings of the 7th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2018), held at Duy Tan University, Da Nang, Vietnam. from, AI as Intelligent Technology and Agent to Understand and Be Understood by Human Mind. Frontiers in Intelligent Computing: Theory and Applications Proceedings of the 7th International Conference on FICTA (2018), Volume 2 Home Conference proceedings Editors: Suresh Chandra Satapathy, Vikrant Bhateja, Bao Le Nguyen, Nhu Gia Nguyen, Dac-Nhuong Le Presents recent research on intelligent engineering informatics Jul. Hardcover. Supervised learning with first-to-spike decoding in multilayer spiking neural networks. The typical topics include, but are not limited to the following fields: Ambient intelligence, Artificial intelligence, Artificial life, Big data analytics, Cloud computing, Cognitive science and systems, Communication Technology, Computational intelligence, Computational neuroscience, Computer engineering, Data mining, DNA and immune based systems, e-Learning and teaching, Evolutionary computing and the fusion of these paradigms, Fuzzy systems, Human-centered and human-centric computing, Human-machine teaming, Human-robot interaction, Intelligent agents, Intelligent control, Intelligent data analysis, Intelligent decision-making and support, Intelligent logistics, Intelligent network security, Intelligent optimization, Intelligent scheduling, interactive entertainment, Internet of things, Knowledge management, Knowledge-based paradigms, learning paradigms, Linguistics and language recognition, Machine ethics, Manufacturing intelligence, Multi-objective optimization, Network technology, Novel and emerging industrial applications, Perception and Vision, Recommender systems, Robotic vision, Robotics and mechatronics, Self-organizing and adaptive systems, Social intelligence, Soft computing, Software engineering, Tust management, Virtual worlds and society, Web intelligence and multimedia.
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