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  • Video 
    A First Look into AI+ Investment

    A First Look into AI+ Investment

    An online lecture on the topic of "A First Look into AI+ Investment".This lecture is suitable for secondary school and university students as well as the general public.

    Subjects:
    Finance
    Keywords:
    Artificial intelligence -- Forecasting Investments
    Resource Type:
    Video
     
  • Video 
    A conversation with Directors: How UGC-funded institutions are addressing Generative

    A conversation with Directors: How UGC-funded institutions are addressing Generative

    Join a panel of the Directors of the educational development/enhancement centres in UGC-funded institutions in this hybrid seminar in which they explain their respective institutions’ stance and actions towards the use of Generative AI in learning, teaching and assessment. It is our honour that the UGC Secretary-General will facilitate the panel discussion. Examples of how assessment and learning activities are re-designed in different institutions to leverage the use of Generative AI will be presented, with sharing from teachers and students.
    Event Date: 8/5/2023
    Speakers (in order of university name):
    Prof. Kenneth Lo, Director, TED, CityU
    Dr Theresa Kwong, Director, CHTL, HKBU
    Prof. Chun Ka Wai, Cecilia, Director, CLEAR, CUHK
    Prof. Kong Siu Cheung, Director, LTTC, EDUHK
    Dr Julia Chen, Director, EDC, PolyU
    Dr Sean McMinn, Director, CEI, HKUST
    Prof. Cecilia KY Chan, Associate Director, CETL, HKU
    Facilitator(s): Prof. James Tang, Secretary-General, University Grants Committee

    Subjects:
    Lesson Design
    Keywords:
    Artificial intelligence College teaching Artificial intelligence -- Educational applications
    Resource Type:
    Video
     
  • MOOC 
    AI For Everyone

    AI For Everyone

    AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI

    Subjects:
    Computing
    Keywords:
    Artificial intelligence
    Resource Type:
    MOOC
     
  • Others 
    Admango

    Admango

    We use Artificial Intelligence, Digital Finger Printing and Profiling to track your competitors' every move across all platforms including TV, Print, Outdoor, Radio, Digital, Mobile and Social Media. Be it a corporate campaign, new product launch, promotional messages, event announcement, to just a casual greeting, we alert you the minute it's out there so you can respond immediately.

    Subjects:
    Advertising Design and Marketing
    Keywords:
    Advertising campaigns Commercial art Advertising
    Resource Type:
    Others
     
  • Others 
    Agile Software Development: It’s Implication for AI products and Developers

    Agile Software Development: It’s Implication for AI products and Developers

    Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.

    Subjects:
    Computing
    Keywords:
    Agile software development
    Resource Type:
    Others
     
  • Courseware 
    Artificial Intelligence

    Artificial Intelligence

    This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.

    Subjects:
    Computing
    Keywords:
    Artificial intelligence
    Resource Type:
    Courseware
     
  • e-book 
    Artificial Intelligence

    Artificial Intelligence

    Artificial intelligence (AI) is a potent buzzword and happening technology which has greatly impacted the lifestyle of every human being either directly or indirectly and is shaping the future of tomorrow. In fact, AI is fast becoming an intrinsic part of our daily life and is not confined to university research labs, even if remarkable progress has been made in this domain. The benefit of this phenomenon is widely recognized in diversified areas, ranging from medicine to security to consumer applications and business, and resulting in improvements in the quality of life of humankind. Every new disruptive technology has its own pros and cons and AI is no exception to this rule. Privacy, data protection, and the rights of individuals pose social and ethical challenges.

    Subjects:
    Computing
    Keywords:
    Artificial intelligence
    Resource Type:
    e-book
     
  • Video 
    Assessment re-designs for the generative AI era

    Assessment re-designs for the generative AI era

    Re-designing assessments within the context of generative AI is one of the most urgent challenges for universities. Might assessment re-design represent opportunities to build on key principles underpinning ‘good assessment’? Dependent on the disciplinary context, these might include iterative sequences of rich tasks; the development of student evaluative expertise; and linkages to real-world outcomes.
    Effective assessment sequences are sometimes time-consuming. By reducing assessment overload, we can create much-needed space for new possibilities: increased authentic assessment; assessments that involve critical engagement with generative AI outputs; an enhanced role for digital and interactive oral assessment; teacher and student co-learning in partnerships for assessment re-design; and assessing process as well as product. The thorny issues of academic integrity and ethical use of generative AI also merit attention but should not distract from a primary focus on the development of student learning.
    Generative AI raises exciting possibilities, yet there are few clear answers. In this workshop, complementary and alternative views, including those from different disciplinary perspectives will be welcomed.
    Event Date: 22/8/2023
    Speaker: Carless, David (Professor at the Faculty of Education, HKU)
    Facilitator(s): Chen, Julia (EDC), Chon, Leo (EDC)

    Subjects:
    Learning Analytics, Good Practices, and Assessment & Feedback
    Keywords:
    Artificial intelligence Educational tests measurements Generative programming (Computer science) Machine learning Artificial intelligence -- Educational applications
    Resource Type:
    Video
     
  • Presentation 
    Business Process Mining and Formalization

    Business Process Mining and Formalization

    This video was recorded at COIN / ACTIVE Summer School on Advanced Technologies for Knowledge Intensive Networked Organizations, Aachen 2010. Part 1. Context Computing. Context is used as a term for packaging information for a particular need. A criterion for selecting or prioritization information from a broader pool of information could be called contextual model. Search can be contextual: http://searchpoint.ijs.si. The relevance of Context in computing seems to be growing. Many application areas see an opportunity in extending its value by introducing "context sensitivity". More details do to be found in ISWC2006 Tutorial on "context sensitivity": http://videolectures.net/iswc06_athens_ga/ Part 2. Text Mining & Light Weight Semantics. Videolectures discusses the following topics: - levels of text representations - modeling the data (Support Vector Machine) - classification into large taxonomies (DMoz) - visual & contextual search (Search Point) - multilingual search - news bias, news visualization - text enrichment (Enrycher) - knowledge based summarization - question answering (AnswerArt) - Cyc knowledge base and reasoning

    Subjects:
    Management and Computing
    Keywords:
    Data mining Information resources management Business -- Data Processing Management information systems
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    COIN Baseline services and negotiation support

    COIN Baseline services and negotiation support

    This video was recorded at COIN / ACTIVE Summer School on Advanced Technologies for Knowledge Intensive Networked Organizations, Aachen 2010. Organized by COIN FP7 Integrated Project (http://www.coin-ip.eu/) and ACTIVE FP7 Integrated Project (http://www.active-project.eu), the summer school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability through innovative software solutions and share the recent research developments from well-established researchers and educators. The main topics of the summer school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modeling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies. More about the event at http://coin-active-ss.ijs.si/

    Subjects:
    Management and Computing
    Keywords:
    Enterprise application integration (Computer systems) Internetworking (Telecommunication) Management information systems Information resources management
    Resource Type:
    Presentation
     
    OER
  • Courseware 
    CS223A - Introduction to Robotics

    CS223A - Introduction to Robotics

    The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings and problem sets.

    Subjects:
    Mechanical Engineering
    Keywords:
    Robotics
    Resource Type:
    Courseware
     
  • Courseware 
    CS229 - Machine Learning

    CS229 - Machine Learning

    This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.

    Subjects:
    Computing
    Keywords:
    Pattern perception -- Statistical methods Machine learning
    Resource Type:
    Courseware
     
  • Courseware 
    CS50’s Introduction to Artificial Intelligence with Python

    CS50’s Introduction to Artificial Intelligence with Python

    This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

    Course related:
    COMP3011 Design and Analysis of Algorithms, COMP1001 Problem Solving Methodology in Information Technology, COMP4434 Artificial Intelligence, and COMP2011 Data Structures
    Subjects:
    Human-Computer Interaction and Computing
    Keywords:
    Computer programming Computer science Python (Computer program language) Artificial intelligence
    Resource Type:
    Courseware
     
  • Video 
    Can robots be creative?

    Can robots be creative?

    People have been grappling with the question of artificial creativity -- alongside the question of artificial intelligence -- for over 170 years. For instance, could we program machines to create high quality original music? And if we do, is it the machine or the programmer that exhibits creativity? Gil Weinberg investigates this creative conundrum.

    Subjects:
    Electronic and Information Engineering
    Keywords:
    Robotics Artificial intelligence
    Resource Type:
    Video
     
  • Video 
    Can robots be creative? - Gil Weinberg

    Can robots be creative? - Gil Weinberg

    People have been grappling with the question of artificial creativity -- alongside the question of artificial intelligence -- for over 170 years. For instance, could we program machines to create high quality original music? And if we do, is it the machine or the programmer that exhibits creativity? Gil Weinberg investigates this creative conundrum.

    Keywords:
    Creative ability Artificial intelligence
    Resource Type:
    Video
     
  • Video 
    ChatGPT: Challenges, Opportunities and Responses to AI in University Education

    ChatGPT: Challenges, Opportunities and Responses to AI in University Education

    ChatGPT is the latest generative AI tool to hit the news and universities worldwide are racing to respond to the challenges to academic integrity and opportunities to higher education it offers. In this online session, a range of participants discuss the big issues surrounding ChatGPT and other AI technology, and outline possible responses universities can make.
    Event Date: 16/2/2023
    Facilitator(s): Dr Julia Chen (EDC), Mr Darren Harbutt (EDC), Mr Dick Chan (EDC), Mr Adam Forrester (ELC), Prof Song Guo (COMP),Dr Melody Lu (CPCE),Prof Eric Friginal (ENGL)

    Subjects:
    Lesson Design
    Keywords:
    Artificial intelligence College teaching Artificial intelligence -- Educational applications
    Resource Type:
    Video
     
  • Video 
    Crash Course Artificial Intelligence

    Crash Course Artificial Intelligence

    In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning! This course is based on a university-level curriculum. By the end of the course, you will be able to: * Define, differentiate, and provide examples of Artificial Intelligence and three types of Machine Learning: supervised, unsupervised, and reinforcement * Understand how different AI and ML approaches can be combined to create compelling applications such as natural language processing, robotics, recommender systems, and web search * Implement several types of AI to classify images, generate text from examples, play video games, and recommend content based on past preferences * Understand the causes of algorithmic bias and audit datasets for several of these causes

    Subjects:
    Computing
    Keywords:
    Human-Computer Interaction Machine learning Artificial intelligence
    Resource Type:
    Video
     
  • MOOC 
    Deep Learning Specialization. Master Deep Learning, and Break into AI

    Deep Learning Specialization. Master Deep Learning, and Break into AI

    If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.

    Course related:
    AMA564 Deep Learning
    Subjects:
    Computing
    Keywords:
    Machine learning Neural networks (Computer science) Artificial intelligence
    Resource Type:
    MOOC
     
  • Others 
    OER

    Deep Learning in GeoSpatial Artificial Intelligence

    Geospatial artificial intelligence sometimes referred to as geoAI is recently receiving so much attention. From large-scale projects to smaller projects. GeoAI can be referred to as using artificial intelligence with Geographical information system to analyse and produce solution-based predictions.

    Subjects:
    Computing and Land Surveying and Geo-Informatics
    Keywords:
    Geospatial data Geographic information systems Artificial intelligence
    Resource Type:
    Others
     
  • Video 
    Dialog with a World Class AI expert: Know HOW to get the MOST out of generative

    Dialog with a World Class AI expert: Know HOW to get the MOST out of generative

    A world class AI expert will explain to us in layman terms the power and limitations of generative AI tools, key factors that affect their performances and what users should know before deciding to use these tools and when reviewing the responses from these tools. Be inspired to discover more applications of these tools!
    Event Date: 13/6/2023
    Presenter: Prof. Usama Fayyad, Executive Director of the Institute for Experiential AI, Khoury College of Computer Sciences, Northeastern University, USA
    Facilitator(s): Eric Tsui (EDC), Ioanna Pavlidou (ITS)

    Keywords:
    Machine learning Artificial intelligence Education -- Effect of technological innovations on
    Resource Type:
    Video