For example, Google replaced their traditional statistical machine translation and speech recognition systems with systems based on deep learning. 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. Example applications of ethical AI – AI for Social Good, AI6102 Machine Learning: Methodologies and Applications. Last modified on 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. Disclaimer • The main objective of this course is to introduce the mathematical foundations, the state-of-the-art architectures, and a professional library of deep learning architectures. NTUsg on Youtube. 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. 200604393R, © 2012 Nanyang Technological University 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 NTU - Master of Science in Artificial Intelligence. 6-Jan-2021, Last modified on 200604393R, © 2012 Nanyang Technological University No. Browse through our graduate programmes by coursework and check out the ones that you like. 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. This course introduces time series models and the corresponding methods for data analysis and inference. NLP technologies are applied everywhere as people communicate mostly in language; language translation, web search, customer support, emails, forums, advertisement, radiology reports, to name a few. The Nanyang Technopreneurship Center (NTC) is a key player in innovation and entrepreneurship education at Nanyang Technological University, … NTU EEE scientists develop handheld, high-resolution medical imaging device NTU EEE Students Microsoft Imagine Cup Asia Regional Finalist 2020. This course covers fundamental techniques to manage and process text data. The primary objective of this project is to develop signal classification algorithms that are able to distinguish between normal and abnormal respiratory sounds accurately. Copyright • In each topic, students are given several state-of-the-art papers in the literature to read and present. NUS Computing, School of Computing, National University of Singapore, NUS, Singapore Universities 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. *Note: Not all courses listed in the curriculum will be offered in a semester. 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. AI6127: Deep Neural Networks for Natural Language Processing. • 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 On the model side, we will cover word representations, window-based neural networks for NLP, recurrent neural networks for NLP, long-short-term-memory models, recursive neural networks for parsing, convolutional neural networks, as well as more advanced topics like encoder-decoder models and attention mechanisms. The main topics covered include: … Computational game theory The master project of AI is a one year project with 6 AUs. AI allows computer-controlled devices and intelligent machines to learn from experience, adjust to new information and perform complex tasks the way humans do. The School of Electrical and Electronic Engineering offers the following graduate programmes by research:-Master of Engineering (M.Eng.) ... (AI and Robotics in marketing) to empower participants to lead marketing campaigns in this digital era. 4. 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. Symbolic and semantic (Fuzzy representation) knowledge are considered as sound deductive inference systems. Last modified on Students will also gain experience in critically reviewing scientific literature relevant to the area. Unless otherwise stated, the programmes admit both full time and part time students. Leave of Absence (LOA) is taken when a candidate is unable to continue his studies for a short period of time. Use linear independence basis to decompose vectors. Their implementations within a deep learning neural structure is discussed. Students will learn how to design their own artificial neural network to solve their data analysis task. 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. 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. “Studying in NTU has been such an enriching learning experience for me. This course aims to develop specific knowledge in advanced computer vision by using deep learning techniques. NTU Scientists uncover structure of key pneumonia virus enzyme Miao Yansong_EMBO NTU Scientist uncover binding secret behind protein 'superglue' NTU Scientist discover sustainable way to increase seed oil yield in corps Undergraduate Programmes. Upon completion of this subject, the student should be … 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. Decision making and planning in these multi-agent systems are then addressed. It will begin by introducing multi-agent systems and a number of interesting application areas, as well as explain the complexity of a definition. 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. Reinforcement Learning Important Notice: Please be informed that the University has not arranged for any external private agencies to undertake graduate student recruitment on its behalf. problems with limited training data and big data problems. 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. Perform approximation based on Taylor series. 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. Disclaimer • Graduate Programmes. Use the Jupyter Notebook environment for Python. 5. Well established paradigms pertaining to the formal representations of artificial intelligence and knowledge engineering for computational problem solving will be introduced. This project, to be performed over two consecutive semesters, provides students an opportunity to work with faculty members in SCSE and to learn state-of-the-art AI techniques for a particular problem. The course provides a thorough introduction to cutting-edge methods in deep learning applied to NLP. Please check and ensure that all data you have entered in the on-line form is correct and accurate before you submit this application. They will also learn how to code efficiently these new algorithms using PyTorch, one of the most powerful libraries in this field. The philosophical foundations of AI ethics AI6104 Mathematics for Artificial Intelligence. Doctor of Philosophy (Ph.D.) Upon completion of this subject, the student should be able to: This course aims to provide appropriate computing background to students who will study other courses in Data Science and AI. 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. We begin with a short introduction of learning, adaptation andcognition: examining: learning forms, supervised, unsupervised, reinforcement; Adaptation mechanism - error driven, performance objective; cognitive knowledge representation and reasoning for rational decision making. Last modified on Fuzzy logic and fuzzy inferences are covered. In the Master of Science in Knowledge Management (Coursework) programme, not only are we equipped with the fundamental knowledge for the corporate world, but are also moulded to be critical thinkers by thinking of real-life issues “outside-the-box”. The course will have a large project component. A series of real-world problems and challenges will be presented throughout the course via case studies and projects. 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. NTU Collaborates with AI Labs on Drug Repositioning and Simulation Database to Find Cure for COVID-19. Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798. No amendments to the online form will be allowed after the application is sent. 18-Dec-2020 MAE AutoMan group won autonomous vehicle global challenge in top AI competition. Data Protection and Privacy 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. We will also cover model cross validation and verification for the assessment of the quality of the constructed/evolved fuzzy neural networks. A lot of new applications emerge, including face recognition, image super-resolution, and machine vision in self-driving cars. The curriculum consists of two specializations: Artificial Intelligence and Operations and Compliance. Important The online application form will not be available on Saturdays from 3.00am to 5.00am (Singapore time) to facilitate our system backup. Recently, automated respiratory sound analysis using AI or machine learning algorithms have received much attention from both the academia and the industry. Was wondering to those that applied, what were your qualifications? Solve standard algorithmic problems in Python. Techniques for incorporating ethical considerations into AI systems 01-Dec-2020 Dr Tan Jen Hong named one of the Highly Cited Researchers by Clarivate. 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. Different form of learning neural network that can be dynamically evolve or construct the fuzzy rules on the basis of data is covered. The main topics include: 1) text indexing and search: inverted index, query processing, ranking, and evaluation, 2) word-level, sentence-level, document-level, and collection-level processing: morphological analysis, part-of-speech tagging, parsing, summarization, classification and clustering, and topic modeling, and 3) case studies and applications: social media text, sentiment analysis, and information extraction. Courses offered are subject to availability of instructors and resources. Reg. It will be three as I have gotten a graduate job at an Australian company. 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. Practicum module, MH680… 16-Dec-2019. In other words, each trimester is split into two halves. Overall, this course will provide good exposure to students who intend to conduct research & development in computer vision. The tools for performing such learning via evolutionary and neural computations are examined. Noise cancelling device by NTU EEE scientists halves noise pollution. 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. 3. It is relevant for anyone pursuing a career in AI or Data Science.The teaching content of this course includes different machine learning methodologies in various machine learning paradigms, such as supervised learning, semi-supervised learning, unsupervised learning, etc., as well as applications of machine learning. There are a number of core NLP tasks and machine learning models behind NLP applications. NTUsg on Twitter. 6. Their logical representation and philosophy within the cognitive knowledge organisation are considered. AI6104 Mathematics for 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. 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. 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