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| Mario Aoun received his bachelor’s degree in computer science from Notre Dame University (NDU), Lebanon, in 2003. His final-year project, a location-based service for Windows mobile phones, won the Microsoft Competition for Universities in Lebanon that year. In parallel to his university studies, Mario developed complex database applications ranging from client-server applications to mobile and multi-tier applications. In 2007, after fulfilling his master’s (MS) degree in computer science from NDU, he was accepted for a PhD scholarship at the University of Twente, with training at Philips Research Center. Unfortunately, he was struck by a neurological disorder called transverse myelitis (TM). TM is an inflammation of a segment of the spinal cord, making him paraplegic; he was forced to cancel the scholarship. In 2009, he reviewed a book for ACM Computing Reviews (CR), Computational Intelligence: a Compendium, which revived his personal research goals in artificial intelligence and neural networks. Consequently, in 2010, he wrote a research paper based on his MS thesis—“STDP within NDS Neurons”—which he submitted to and presented at the International Symposium on Neural Networks (ISNN 2010) in Shanghai, China. At the end of 2010, he immigrated to Canada, and is now in his fourth year as a PhD research student in cognitive informatics at the Université du Québec à Montréal (UQAM). His research interests include chaos theory, chaos control, reservoir computing, computational neuroscience, neurocognition, and the limits of intelligence. He investigates and approaches the exploit of the theory of chaotic nonlinear dynamics in order to emulate cognitive processes, like memory and perception, which are explained and elucidated by the theory of chaotic neurodynamics. The latter favors the role of chaos in the brain as an essential ingredient that makes the brain distinct from any artificial intelligent machine. The impact of this research will help us understand and delineate the limitations of both natural and artificial intelligence. He presented his latest research paper, “Learning algorithm and neurocomputing architecture for NDS neurons, ” in August 2014 at the IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 2014) in London, England; he received the Best Paper Award. Also, in the same trip, he was invited to do a seminar at Oxford Brookes University to discuss the potential implication of his research work. Mario’s review of The universal machine was selected as one of the best CR reviews of 2013. |
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1 - 10 of 14
reviews
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Assessing neural network scene classification from degraded images Tadros T., Cullen N., Greene M., Cooper E. ACM Transactions on Applied Perception 16(4): 1-20, 2019. Type: Article, Reviews: (2 of 2)
One of the major problems faced by deep learning techniques--for example, deep convolutional neural networks (CNNs)--is uncontrolled behavior due to glitches in the input. For example, you can modify just a few pixels...
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Mar 23 2021 |
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Life 3.0: being human in the age of artificial intelligence Tegmark M., Vintage Books, New York, NY, 2018. 384 pp. Type: Book (978-1-101970-31-7)
We should finally admit that technology and specifically artificial intelligence (AI) drive our lives. This has become a fact that we can never neglect or consider to be happening in the future. AI is shaping our present, so how should...
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Jun 1 2020 |
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"Why should I trust you?": Explaining the predictions of any classifier Ribeiro M., Singh S., Guestrin C. KDD 2016 (Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, Aug 13-17, 2016) 1135-1144, 2016. Type: Proceedings
When Bohr introduced his theory of quantum jumps as a model of the inside of an atom, he said that quantum jumps exist but no one can visualize them. Thus, at the time, the scientific community was outraged because science is all about...
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May 29 2020 |
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Artificial intelligence: looking through the Pygmalion lens Gill K. AI & Society 33(4): 459-465, 2018. Type: Article
This paper reminds me of early nuclear energy “control” advocacy. In fact, the discovery of uranium, and specifically the widespread global knowledge of a significant inventive process that allows the release of a h...
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Apr 29 2019 |
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Computational memory: a stepping stone to non-von Neumann computing? Abu Sebastian. YouTube, 01:20:34, published on Mar 8, 2018, stanfordonline, https://www.youtube.com/watch?v=_2Wiql4QSLQ. Type: Video
The topic of this video presentation is computational memory (CM), a seemingly fascinating new paradigm in computing. The presenter’s approach to the topic is captivating; when you start the video, you just want to proceed fo...
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Sep 27 2018 |
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Modeling incubation and restructuring for creative problem solving in robots Kralik J., Mao T., Cheng Z., Ray L. Robotics and Autonomous Systems 86162-173, 2016. Type: Article
Think of this experiment: a monkey is faced with four quantities of food versus a single quantity, and it is given the four quantities as a reward only when it picks the single quantity. This experiment defies the common sense of an in...
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Jun 28 2017 |
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Computational intelligence: revised and selected papers of the International Joint Conference, IJCCI 2013, Vilamoura, Portugal, September 20-22, 2013 Madani K., Dourado A., Rosa A., Filipe J., Kacprzyk J., Springer International Publishing, New York, NY, 2015. 518 pp. Type: Book (978-3-319233-91-8)
This book is composed of selected papers that were submitted and presented at the Fifth International Joint Conference on Computational Intelligence (IJCCI), held in Portugal in 2013. The conference is divided into three categories: ev...
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Jul 26 2016 |
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Computational intelligence: a methodological introduction Kruse R., Borgelt C., Klawonn F., Moewes C., Steinbrecher M., Held P., Springer Publishing Company, Incorporated, New York, NY, 2013. 499 pp. Type: Book (978-1-447150-12-1)
This book teaches computational intelligence (CI) in a thorough, methodological manner that is theoretically profound and educationally oriented. The authors present state-of-the-art, real-world CI problems within a technical scope tha...
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Feb 10 2014 |
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The universal machine: from the dawn of computing to digital consciousness Watson I., Copernicus Books, New York, NY, 2012. 367 pp. Type: Book (978-3-642281-01-3)
This interesting popular science book sheds light on important works and key figures in the world of computing. It starts with the early work of Charles Babbage, progresses to recent achievements in the fields of computer science (CS) ...
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Apr 10 2013 |
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A non-Markovian random walk underlies a stochastic model of spike-timing-dependent plasticity Elliott T. Neural Computation 22(5): 1180-1230, 2010. Type: Article
Elliott presents a very insightful model of spike-timing-dependent plasticity (STDP), with a rigorous and thorough mathematical proof. The STDP learning rule is different from conventional Hebbian learning that can simply be stated as ...
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Oct 5 2010 |
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