NTU, National Yang Ming University and Academia Sinica, with funding from MOST, have joined forces with Taiwan AI Labs to repurpose existing drugs for new applications using the latter’s COVID-19 collaborative platform. Their logical representation and philosophy within the cognitive knowledge organisation are considered. Introduction to knowledge abstraction and expression are discussed in relation to the evolving deep neural structures that can be used to evolve and to directly learn such cognitive knowledge structure from data. This course covers fundamental techniques to manage and process text data. 6-Jan-2021, Last modified on 18-Dec-2020 MAE AutoMan group won autonomous vehicle global challenge in top AI competition. It will be three as I have gotten a graduate job at an Australian company. The rise of deep learning leads to a wave of breakthroughs in computer vision, opening up a number of possibilities that are unimaginable before. A series of real-world problems and challenges will be presented throughout the course via case studies and projects. Use the Jupyter Notebook environment for Python. Upon completion of this subject, the student should be able to: Computer vision has been attracting increasing interests thanks to the recent advances in deep learning especially in convolutional neural networks, recurrent neural networks, etc. In each topic, students are given several state-of-the-art papers in the literature to read and present. Symbolic and semantic (Fuzzy representation) knowledge are considered as sound deductive inference systems. problems with limited training data and big data problems. The main objective of this course is to introduce the relevant mathematical foundations for computer vision and machine learning, the basic image analytics and machine learning technology in computer vision, and the computer vision technologies in detection, recognition and classification tasks. Search and intelligent agents Important The online application form will not be available on Saturdays from 3.00am to 5.00am (Singapore time) to facilitate our system backup. The master project of AI is a one year project with 6 AUs. ​​The courses in the MSc in FinTech programme are delivered in intensive periods of 7 weeks. Browse through our graduate programmes by coursework and check out the ones that you like. “Studying in NTU has been such an enriching learning experience for me. 25-Sep-2020 MAE student wins James Dyson Award. Prior to joining NTU in 2014, Ai Tee had spent more than 15 years in the private sector with working experience in manufacturing and Hospitality Industry which she played key functional roles in Engineering, Manufacturing, HR, Administrative and Training area. Topics include regression models, autoregressive (AR), moving average (MA), ARMA, and ARIMA processes, stationary and non- stationary processes, seasonal processes, identification of models, estimation of parameters, diagnostic checking of fitted models, rare event detection, forecasting, spectral analysis and time series models of heteroscedasticity . Different form of learning neural network that can be dynamically evolve or construct the fuzzy rules on the basis of data is covered. Offered by Nanyang Technological University (NTU) since 2002, the Master of Science Technopreneurship and Innovation Programme (MSc TIP) equips students with essential entrepreneurial skills and business acumen to turn novel ideas into successful ventures. Graduate Programmes. Decision making and planning in these multi-agent systems are then addressed. Last modified on Tech companies like Google, Alibaba, Apple, Amazon, Facebook, Tencent, and Microsoft are now actively working on deep learning methods to improve their products. Noise cancelling device by NTU EEE scientists halves noise pollution. Top IT companies around the world such as Google, Apple, Alibaba, Amazon, Tencent and Baidu have invested and will continue to invest heavily in various computer vision technologies due to demands in a wide spectrum of applications and domains such as robotics, autonomous driving, surveillance and security, computer-aided medical diagnosis, etc. 1. MSAI/School of Computer Science and Engineering (Email : aslcang@ntu.edu.sg Tel/Fax : -) Event Info ADVANCE YOUR EMPLOYABILITY WITH OUR MASTER OF SCIENCE IN ARTIFICIAL INTELLIGENCE. NTU provides many options to pursue your graduate degree by coursework and dissertation. AI6104 Mathematics for Artificial Intelligence. Overall, this course will provide good exposure to students who intend to conduct research & development in computer vision. Based on the Internet of Things (IoT) infrastructure and artificial intelligence, urban computing acquires, integrates, and analyzes big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human, to tackle the major urban challenges. For subsidised programmes, the substantial tuition subsidy from the Government of Singapore comes in the form of MOE Subsidy which is administered by the Ministry of Education (MOE) and is offered to all eligible students. A lot of new applications emerge, including face recognition, image super-resolution, and machine vision in self-driving cars. The School of Electrical and Electronic Engineering offers the following graduate programmes by research:-Master of Engineering (M.Eng.) Reinforcement Learning The philosophical foundations of AI ethics My WAM ended up being a distinction for my bachelors from an Australian university and I have two years of relevant work experience at IBM. Data Protection and Privacy Issues of concept formation, rule association, data drifts and shifts, forgetting, positive and negative potentiation, evolutionary trade-off between expression and abstraction will be covered. This course aims to provide the appropriate mathematical background to students who will study other courses in the Master of Science in Artificial Intelligence programme. Course project will encourage students to solve real-world research problems, and also give them experience in written and oral scientific communication. We will also cover model cross validation and verification for the assessment of the quality of the constructed/evolved fuzzy neural networks. Connect with NTU MAE, Singapore. Sharon NG Head, Division of Marketing Phone: +65 6790 5693 Email: ANgSL@ntu.edu.sg Address: S3-01A-14, Nanyang Business School, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 The primary objective of this project is to develop signal classification algorithms that are able to distinguish between normal and abnormal respiratory sounds accurately. Fuzzy logic and fuzzy inferences are covered. Last modified on AI6104 Mathematics for Artificial Intelligence. This course aims to provide an introductory but broad perspective of machine learning fundamental methodologies, and show how to apply machine learning techniques to real-world applications. For example, Google replaced their traditional statistical machine translation and speech recognition systems with systems based on deep learning. Students are expected to document their work and report their findings in formal reports, and give oral presentations together with demonstration (if any) as the conclusion of their projects. Recently, automated respiratory sound analysis using AI or machine learning algorithms have received much attention from both the academia and the industry. Urban computing is an emerging subject that aims to deal with the challenges in the rapid urbanization progress such as pollution, energy consumption, and traffic congestion, etc. Learn about our latest achievements and discoveries in the many exciting areas of research in the Mathematical Sciences. NIE’s Modular Graduate Courses (MGCs) are intended to be less research-focused and encompass academic as well as skills-based courses, offered at a Master’s level. The tools for performing such learning via evolutionary and neural computations are examined. Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798. The Master of Science in Artificial Intelligence (MSAI) programme is created for students who wish to develop, design and implement AI systems and at the same time cultivate a deep understanding of AI for project management and policy making. The main topics covered include: Ai Tee is currently a Programme Director at ERI@N overseeing the Administrative, Finance and HR areas. The school is part of the research-intensive Nanyang Technological University, Singapore (NTU Singapore), home to a major tech and innovation ecosystem. Handle data in Pandas, and graphics in Matplotlib. Example applications of ethical AI – AI for Social Good, AI6102 Machine Learning: Methodologies and Applications. Computational game theory Multi-agent systems are also explained through the concept of conflicting interactions, game theory and the equilibrium, categorized as the systems of benevolent agents and those of self-interested agents. The Master of Science in Biomedical Data Science is the first graduate programme in Asia-Pacific to offer data science training specifically in the biomedical domain. Well established paradigms pertaining to the formal representations of artificial intelligence and knowledge engineering for computational problem solving will be introduced. Reg. Deep learning has recently introduced a paradigm shift from human-design features to end-to-end systems, and has revolutionized several fields including computer vision, speech recognition, and natural language processing. Nanyang Technological University Data Science & Artificial Intelligence Research Centre@ NTU NTUsg on Twitter. - Master of Social Sciences (China & Global Governance) * The link for online app lication will only be available during application period. Perform standard numeric computations in Python. Top IT companies like Google, Facebook, Microsoft, Apple, Amazon have been actively redesigned their products with deep learning techniques, and the impacts in the coming decades will go beyond self-driving cars, strategic games like Go, and MRI cancer detection. Students will also gain experience in critically reviewing scientific literature relevant to the area. • Body of Knowledge (BoK) for AI Ethics and Governance • AI Ethics Governance Framework for Organisations • Business Liability and Ethics in AI Usage 1 • Ethics in Data Processing • Governance for AI Explainability # SkillsFutureSG Funding of 70% - 90% is available Alumni may use their NTU Alumni Course Credits worth S$1600: bit.ly/NTUAcc Deep learning has recently brought a paradigm shift from traditional task-specific feature engineering to end- to-end systems, and has obtained high performance across many different NLP tasks and downstream applications. Was wondering to those that applied, what were your qualifications? 3. 2. This course covers an introduction to multi-agent systems. This course introduces the basics of artificial intelligence (AI), paying special attention to the ethical issues involved. Reg. Disclaimer • This course aims to provide the appropriate mathematical background to students who will study other courses in the Master of Science in Artificial Intelligence programme. It will begin by introducing multi-agent systems and a number of interesting application areas, as well as explain the complexity of a definition. The core courses focus on the foundations of AI knowledge, such as machine learning and deep learning, while a wide range of elective courses in different domains, such as image, video, text and IoT data are available to deepen understanding and knowledge in this specialisation. 200604393R, © 2012 Nanyang Technological University 200604393R, © 2012 Nanyang Technological University This course will introduce 1) the concept and applications of urban computing, 2) urban sensing technologies including the acquisition of spatio-temporal urban data, 3) cloud computing infrastructure to support urban computing applications, 4) urban data management including spatial data management and spatio-temporal data management, 5) ubran data mining including spatial data mining and spatio-temporal data mining, 6) urban data learning including spatio-temporal prediction and reinforcement learning and 7) advanced topics such as edge computing and cross-domain urban data fusion. Many of the complex systems are dynamic systems in which their states change over time. The course will cover both image and video recognition, including image classification, various object detection techniques, image and video segmentation, image super-resolution, and video captioning. Search maximum and minimum in multivariable functions. Equipped with both theoretical and activity-based learning, this will allow graduates to upgrade their competencies and skills. Through AI, devices can be designed with abilities for speech recognition, reasoning, learning, planning and problem solving. NTU_PageContent. Doctor of Philosophy (Ph.D.) 01-Dec-2020 Dr Tan Jen Hong named one of the Highly Cited Researchers by Clarivate. The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. Leave of Absence (LOA) is taken when a candidate is unable to continue his studies for a short period of time. Focus will be on both conceptual understanding of techniques, as well as on practical implementation of these techniques using modern deep learning frameworks. NTU - Master of Science in Artificial Intelligence. NTU's programs cover a wide array of disciplines across science, arts, and the humanities, with up to 8,000 courses made available for selection each semester. Perform approximation based on Taylor series. In other words, each trimester is split into two halves. … The curriculum consists of two specializations: Artificial Intelligence and Operations and Compliance. Next, we examine related cognitive intelligence applications such as those: in computational finance - risk based trading system, asset assessment, fuzzy trading models; Computational Attention focus - emotion, sentiment and motivation modelling. The MSc in FinTech Programme is an intensive 1-year full-time or 2-year part-time programme by coursework taught in 3 trimesters per year. Practicum module, MH680… No amendments to the online form will be allowed after the application is sent. 16-Dec-2019, SCSE Virtual Celebration for Class of 2020, Teaching Laboratories & Infrastructure Services, Master of Science in Artificial Intelligence (MSAI), Machine Learning: Methodologies and Applications, Deep Neural Networks for Natural Language Processing. Real world applications for understanding characteristics, modelling and evaluating forecasts of time series data in economics, finance and industries are elaborated with lab on using R. AI6124 Neuro Evolution and Fuzzy Intelligence. AI6122: Text Data Management and Processing. There are 2 types of programmes: by Coursework and Dissertation and by Research.After you have read the admission requirements and decided on the programme you wish to take, apply online for Research program or apply online for Coursework programme. Training data and big data problems series of real-world problems and challenges will be three I... 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