Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

Others

Incorporating and organizing OER for learning AI (OER4AI) practically with fun

OER4AI features a collection of public resources on AI, with categorization of different AI topics. With this OER portal, teachers can use its teaching materials, while students can access it and attempt its exercises. We aim at:
• Providing materials for students to gain hands-on experience;
• Collecting the public resources on AI;
• Giving teachers access to this website through PolyU OER Portal.

Subjects:: Computing
Keywords:: Machine learning Machine learning -- Study teaching Artificial intelligence Artificial intelligence -- Study teaching
Resource Type:: Others

Video

Introduction to PolyU GenAI Platform (Student Session)

Interested in harnessing the power of Generative AI (GenAI) for your studies? Join us in exploring the GenAI platform, its functionality and usage policies in our upcoming workshop. Learn about how GenAI can enhance your learning experience and how to employ it in your studies while maintaining data privacy and security. We'll introduce you to 'prompts engineering' and emphasise the importance of academic integrity in the context of AI technology usage. Come and join this workshop co-organised by EDC and ITS.
Event Date: 27/9/2023
Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)

Subjects:: Learning Analytics, Good Practices, and Assessment & Feedback
Keywords:: Artificial intelligence Artificial intelligence -- Moral ethical aspects Generative programming (Computer science) Machine learning Artificial intelligence -- Educational applications
Resource Type:: Video

Video

Introduction to PolyU GenAI Platform (Teacher Session)

Curious about integrating Generative AI (GenAI) into your teaching methodologies? Embark on a journey with EDC and ITS in a comprehensive workshop introducing the innovative GenAI platform. This session will guide you through the platform's operations, explaining its usage policies. During the workshop, we'll briefly discuss the need for redesigning our assessment strategies in sync with this advanced tool to optimise learning outcomes effectively. Even more importantly, we will discuss data security and privacy concerns surrounding GenAI usage. This workshop offers an unrivalled opportunity to expand your understanding and proficiency in using AI in an educational context. If you're prepared to explore the cutting edge of education technology, then this is the ideal workshop for you.
Event Date: 20/9/2023
Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)

Subjects:: Learning Analytics, Good Practices, and Assessment & Feedback
Keywords:: Artificial intelligence Artificial intelligence -- Moral ethical aspects Generative programming (Computer science) Machine learning Artificial intelligence -- Educational applications
Resource Type:: Video

Video

Examples of assessment design that expect student engagement with GenAI and deepen

Come hear three very different examples of assessment design that fully expect students to consult GenAI. They aim to deepen learning experiences by requiring students to produce multimodal submissions, revisit particular key points discussed in class, and demonstrate their understanding via hands-on quizzes and lab notebooks. When the assessment focus changes, the assessment criteria may change accordingly, and this will be included in the workshop.
Event Date: 30/8/2023
Facilitator: Chen, Julia (EDC)
Speaker(s): Chu, Rodney (APSS), Chan, Dick (EDC), Cheung, Gary (ABCT), Robbins, Jane (ELC)

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

Video

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

Video

Generative AI in Teaching, Learning and Assessment: Issues and Opportunities

The rapid development and widening availability of generative AI tools to create and refine content presents a huge opportunity to re-assess some of the key foundational assumptions and practices behind the ways that our courses are designed and delivered.
In this seminar, Dr Bates will share his views on educators’ obligations to engage with these issues, educate students (and ourselves) on the affordances and limitations of new and emerging AI tools, iteratively experiment in a space that is rapidly changing, and share the successes (and failures) of UBC colleagues.
Dr Bates will also present some practical advice for different ways in which generative AI tools may be incorporated into teaching activities and assessments and outline ways in which UBC is gearing up to support instructors in these efforts.
Event Date: 9/8/2023
Presenter: Bates, Simon (Vice-Provost and Associate Vice-President, Teaching and Learning, Pro Tem, Professor of Teaching, Department of Physics and Astronomy, The University of British Columbia (UBC), Canada),
Facilitator(s): Lo, Dawn (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

Video

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

Others

Mars Pineapple Hotel | GreatCase100

The Mars Pineapple Hotel is an innovative marketing project that utilizes generative AI technology to create videos and images based on specified requirements. The hotel targets astronauts, scientists, and individuals interested in future technology and space travel. Its unique selling points include a pineapple-inspired design, emphasizing technological innovation, and personalized experiences such as stargazing through grid skylights and experiencing lunar craters in space capsule rooms. However, there are challenges in terms of the unstable quality of AI-generated content and the inability of AI to understand human emotions and create individualized experiences. Feedback and improvements are needed to enhance the marketing outcome and address these challenges.

Subjects:: Marketing and Hotel, Travel and Tourism
Keywords:: Hotels -- Marketing Artificial intelligence Hospitality industry -- Marketing
Resource Type:: Others

Video

Generative AI: Challenging Higher Education Assessment Practices

Generative AI challenges Higher Education institutions, educators and their practices to critically re-appraise the nature of what should and could be assessed. Gen AI can support equity and enhance new assessment designs. However, it also challenges us to reconsider what is valued, who is involved and what assessment can reliably reveal. This workshop will discuss the Australian Higher Education response to generative AI and explore the opportunities and challenges in relation to assessment.
Event Date: 19/6/2023
Facilitator(s): Michael Henderson (Monash University), Dick Chan (EDC)

Keywords:: Educational tests measurements Artificial intelligence Educational technology Education -- Effect of technological innovations on
Resource Type:: Video

Video

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

Video

Redesigning Assessments in the Age of Generative AI

Join colleagues from the Department of Computing (COMP) and the English Language Centre (ELC) as they share their insights, experiences, challenges and plans on redesigning assessments in response to the emergence of generative AI. In this webinar, participants will learn how PolyU staff are adapting their assessment strategies to incorporate AI-generated content, while still maintaining academic integrity and ensuring student learning outcomes are met. This session will provide valuable perspectives for educators who are interested in leveraging AI in their own teaching and assessment practices.
Event Date: 30/5/2023
Facilitator(s): Richard Lui (COMP), Adam Forrester (ELC), Mitesh Patel (EDC)

Subjects:: Student Engagement, Assessment & Feedback, Lesson Design, and Good Practices
Keywords:: Artificial intelligence Computer-assisted instruction Education -- Effect of technological innovations on Educational technology
Resource Type:: Video

Video

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

Video

Hands-on Experiences with AI Tools

In this webinar, we present a selection of AI tools that are currently available, explain how to access them, and consider some potential uses of the tools in an educational setting.
Event Date: 31/3/2023
Facilitator(s): Darren Harbutt (EDC), Dick Chan (EDC), Jacky Chau (EDC), Anthony Ho (EDC)

Subjects:: Lesson Design
Keywords:: Natural language processing (Computer science) Artificial intelligence College teaching Natural language generation (Computer science) Artificial intelligence -- Educational applications
Resource Type:: Video

Video

Student Voices on Chat GPT: Learners’ Views on Generative AI Tools

In this ‘Student Voices’ session, students share their views on, and experiences with, emerging Generative AI tools, including ChatGPT. The session will provide a conversation opportunity between teachers and students in this rapidly changing area, and a valuable chance to hear the learner's perspective.
Event Date: 23/3/2023
Facilitator(s): Dr Julia Chen (EDC), Mr Anthony Ho (EDC)
Honourable moderator for Q&A session: Prof David Shum, Dean of FHSS
EDC Coordinator: Darren Harbutt

Subjects:: Lesson Design
Keywords:: Artificial intelligence College teaching Artificial intelligence -- Educational applications
Resource Type:: Video

Video

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

PAIR distinguished lecture series : artificial intelligence and autonomous systems

In this lecture, Prof. Sifakis will discuss the relevance of existing criteria for comparing human and machine intelligence and show some notable analogies and differences between scientific knowledge and that produced by neural networks. Emphasising that autonomy is an important step towards Artificial General Intelligence (AGI), he will present a characterisation of autonomous systems, and showing key differences with mental systems equipped with common sense knowledge and reasoning, and advocate challenging work directions, including the development of a new foundation for systems engineering and scientific knowledge, and the joint exploration of physical and mental phenomena that embody human intelligence.
Even date: 3/3/2023
Speaker: Prof. Joseph Sifakis
Hosted by: PolyU Academy for Interdisciplinary Research

Subjects:: Human-Computer Interaction
Keywords:: Artificial intelligence
Resource Type:: Video

Video

Quality Incentive Scheme on Online Teaching: Sharing Sessions AP, CBS and ELC

EDC is organising a series of Sharing Sessions that present departmental project deliverables and innovations in Technology Enhanced Learning, promoting sustainable and impactful practices that resonate across PolyU and beyond, and funded by PolyU’s Quality Incentive Scheme on Online Teaching, Stage I. This session proudly presents three departments:
AP: Artificial Intelligence by Dr Dennis Leung
CBS: Large-class e-learning applications: Japanese teaching and L2L activities by Dr Jack Chun
ELC: Effective class teaching with apps by Mr Adam Forrester
Event Date: 14/12/2022
Facilitator(s): Mark, Kai Pan

Subjects:: Good Practices
Keywords:: Internet in education Motivation in education Educational technology College teaching Web-based instruction
Resource Type:: Video

Courseware

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

MOOC

Machine Learning Specialization

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

Course related:: AAE5103 Artificial Intelligence in Aviation Industry
Subjects:: Computing
Keywords:: Machine learning Artificial intelligence
Resource Type:: MOOC

Others

Kaggle

Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.

Subjects:: Computing
Keywords:: Machine learning Artificial intelligence Big data
Resource Type:: Others

Video

Robot Alice: The Science behind an Application that Stole the Hearts Worldwide

An online lecture on the topic of "Robot Alice: The Science behind an Application that Stole the Hearts Worldwide".This lecture is suitable for secondary school and university students as well as the general public.

Subjects:: Social Design
Keywords:: Robotics Robots -- Design construction
Resource Type:: Video

Video

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

Technology That Knows What You're Feeling

What happens when technology knows more about us than we do? Poppy Crum studies how we express emotions -- and she suggests the end of the poker face is near, as new tech makes it easy to see the signals that give away how we're feeling. In a talk and demo, she shows how "empathetic technology" can read physical signals like body temperature and the chemical composition of our breath to inform on our emotional state. For better or for worse. "If we recognize the power of becoming technological empaths, we get this opportunity where technology can help us bridge the emotional and cognitive divide," Crum says.

Subjects:: Technology, Electronic and Information Engineering, and Mechnical Engineering
Keywords:: Emotion recognition Artificial intelligence
Resource Type:: Video

Video

How Technology Can Democratize Music

From the printing press to the digital camera, innovation has often democratized the creative arts. In this forward-looking talk, music producer Drew Silverstein demos a new software that allows anyone to create professional-grade music without putting human musicians out of work.

Subjects:: Technology, Performing Arts, and Mechanical Engineering
Keywords:: Technological innovations -- Social aspects Music technology Composition (Music)
Resource Type:: Video

Video

The Basics of AI for Business

On the TED@BCG stage, AI pathfinder Philipp Gerbert dispels the myth of AI as a complex and mysterious tool for business. In reality, he says, even those of us outside Silicon Valley can have an intimate understanding of AI and put it to work today. Gerbert walks us through the ABC's of AI and what it can mean for your organization.

Keywords:: Business enterprises -- Technological innovations Artificial intelligence
Resource Type:: Video

Video

How Humans And AI Can Work Together to Create Better Businesses

Here's a paradox: as companies try to streamline their businesses by using artificial intelligence to make critical decisions, they may inadvertently make themselves less efficient. Business technologist Sylvain Duranton advocates for a "Human plus AI" approach -- using AI systems alongside humans, not instead of them -- and shares the specific formula companies can adopt to successfully employ AI while keeping humans in the loop.

Keywords:: Business enterprises -- Technological innovations Artificial intelligence
Resource Type:: Video

Others

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

e-book

Ethical use of technology in digital learning environments : graduate student perspectives

"This book is the result of a co-design project in a class in the Masters of Education program at the University of Calgary. The course, and the resulting book, focus primarily on the safe and ethical use of technology in digital learning environments. The course was organized according to four topics based on Farrow's (2016) Framework for the Ethics of Open Education and discusses Artificial Intelligence (AI) , social networking services (SNS), 3D printing, resource sharing, adaptive learning systems, STEM, assistive technologies, admissions, and communications. In each of the nine chapters, the authors discuss the connection to the value of technology in education, and practical possibilities of learning technologies for inclusive, participatory, democratic, and pluralistic educational paradigms."--BCcampus website.

Keywords:: Educational technology Education -- Philosophy
Resource Type:: e-book

Video

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

Introduction to Artificial Intelligence (AI)

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

Subjects:: Computing
Keywords:: Artificial intelligence
Resource Type:: MOOC

MOOC

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

Video

Search: Games, Minimax, and Alpha-Beta

In this lecture, we consider strategies for adversarial games such as chess. We discuss the minimax algorithm, and how alpha-beta pruning improves its efficiency. We then examine progressive deepening, which ensures that some answer is always available.

Course related:: COMP4431 Artificial Intelligence
Subjects:: Computing and Mathematics and Statistics
Keywords:: Artificial intelligence
Resource Type:: Video

Video

Lecture 2 - Linear Regression and Gradient Descent | Stanford CS229: Machine Learning (Autumn 2018)

This video is take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program.

Course related:: AP619 Microfabrication Laboratory
Subjects:: Computing
Keywords:: Machine learning Computer algorithms
Resource Type:: Video

e-book

Responsible Innovation: Ethics, Safety and Technology

This textbook is based on the MOOC Responsible Innovation offered by the TU Delft. It provides a framework to reflect on the ethics and risks of new technologies. How can we make sure that innovations do justice to social and ethical values? How can we minimize (unknown)risks?The book explains: The concept and importance of responsible innovation for society Key ethical concepts and considerations to analyse the risks of new technologies Different types of innovation (e.g. radical, niche, incremental, frugal) Roadmap for Responsible Innovation by Industry The concept of Value Sensitive Design (VSD) It includes a link to all the web lectures as well as case studies ranging from care robots and nuclear energy to Artificial Intelligence and self-driving vehicles.

Subjects:: Philosophy
Keywords:: Risk management Technological innovations -- Moral ethical aspects Textbooks
Resource Type:: e-book

e-book

Writing Instruction Tips For Automated Essay Graders: How To Design an Essay for a Non-human Reader

As schools, as well as the workplace, become more automated, and remote or distance learning/working becomes the “new normal,” understanding and leveraging artificial intelligence will become a critical skill.

Keywords:: Report writing Grading marking (Students) -- Computer programs Textbooks
Resource Type:: e-book

e-book

Inteligencia Artificial

Este libro es una introducción al area de la Inteligencia Artificial y presenta algunas de las aplicaciones que puede tener en la vida real en diversos campos de aplicación, El libro esta compuesto de ocho capítulos los cuales abarcan los antededentes, algunos conceptos importantes para la resolución de problemas como es la representación de conocimiento, el planteamiento de los problemas. Asimismo se menciona la teoría de agentes por un lado y por otro lo que es el aprendizaje computacional. Otra area que se aborta es la computación evolutivo y los algoritmos bioinspirados para la resolución de problemas, dandole enfasis a los problemas de optimizacion. Por ultimo se menciona una nueva tendencia en el area de las ciencias computacionales como es el uso de las GPUs para trabajar de una manera mas rapida al realizar el procesamiento en paralelo.

Subjects:: Computing
Keywords:: Artificial intelligence Textbooks
Resource Type:: e-book

e-book

The Crystal Ball Instruction Manual Volume One: Introduction to Data Science

A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.

Subjects:: Computing
Keywords:: Data mining Computer science Artificial intelligence Textbooks
Resource Type:: e-book

Courseware

Stanford Engineering Everywhere

Stanford Engineering Everywhere (SEE) expands the Stanford experience to students and educators online and at no charge. A computer and an Internet connection are all you need. The SEE course portfolio includes one of Stanford's most popular sequences: the three-course Introduction to Computer Science, taken by the majority of Stanford’s undergraduates, as well as more advanced courses in artificial intelligence and electrical engineering.

Course related:: EE1D01 Electrical Science for Everyone
Subjects:: Electronic and Information Engineering, Biomedical Engineering, Mechanical Engineering, and Computing
Keywords:: Engineering Computer science
Resource Type:: Courseware

MOOC

Elements of AI

The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.

Course related:: COMP4431 Artificial Intelligence
Subjects:: Computing
Keywords:: Artificial intelligence Machine learning
Resource Type:: MOOC

MOOC

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

Courseware

Fintech Online Short Course

In this course, you will walk away with an up-to-date examination of the maturing FinTech industry and an understanding of the technologies set to shape the future of finance. Insight into who is currently adopting and driving financial technology innovation and the potential for partnerships between incumbents, start-ups and investors. The ability to critically assess the future of the financial services industry, through exploring complex real-world problems and how FinTech can be used to find solutions.A strategic framework to apply within your own role, and the opportunity to share this with like-minded professionals at an additional conference week.

Course related:: COMP4142 E-Payment and Cryptocurrency and COMP5521 Distributed Ledger Technology
Subjects:: Finance and Computing
Keywords:: Financial services industry -- Technological innovations Finance -- Technological innovations
Resource Type:: Courseware

MOOC

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Course related:: EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing and COMP4434 Big Data Analytics
Subjects:: Computing
Keywords:: Artificial intelligence Machine learning
Resource Type:: MOOC

Others

Papers With Code: The latest in machine learning

The mission of Papers With Code is to create a free and open resource with Machine Learning papers, code and evaluation tables.We believe this is best done together with the community and powered by automation.

Course related:: COMP5121 Data Mining and Data Warehousing Applications, COMP5212 Software Design and Architecture, COMP5123 Intelligent Information Systems, COMP5222 Software Testing and Quality Assurance, and COMP5131 Introduction to Information Systems
Subjects:: Computing
Keywords:: Machine learning Artificial intelligence
Resource Type:: Others

Others

Ethics in AI

Over the last decade, concerns about the power and danger of Artificial Intelligence have moved from the fantasy of “Terminator” to reality, and anxieties about killer robots have been joined by many others that are more immediate. An introduction by Professor Sir Nigel Shadbolt; The place of Ethics in AI, AI Ethics and legal regulation, Ethics of AI in healthcare

Subjects:: Health Technology and Informatics and Medical and Professional Ethics
Keywords:: Artificial intelligence -- Moral ethical aspects Ethics
Resource Type:: Others

Video

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

e-journal

Journal of Aircraft

This Journal is devoted to the advancement of the applied science and technology of airborne flight through the dissemination of original archival papers describing significant advances in aircraft, the operation of aircraft, and applications of aircraft technology to other fields. The Journal publishes qualified papers on aircraft systems, air transportation, air traffic management, and multidisciplinary design optimization of aircraft, flight mechanics, flight and ground testing, applied computational fluid dynamics, flight safety, weather and noise hazards, human factors, airport design, airline operations, application of computers to aircraft including artificial intelligence/expert systems, production methods, engineering economic analyses, affordability, reliability, maintainability, and logistics support, integration of propulsion and control systems into aircraft design and operations, aircraft aerodynamics (including unsteady aerodynamics), structural design/dynamics , aeroelasticity, and aeroacoustics.

Subjects:: Aeronautical and Aviation Engineering
Keywords:: Aeronautics
Resource Type:: e-journal

Others

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

Others

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

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

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

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

Face Recognition

Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

Subjects:: Electronic and Information Engineering and Computing
Keywords:: Human face recognition (Computer science)
Resource Type:: e-book

e-book

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

Presentation

Media Stream

This video was recorded at COIN / PlanetData Winter School on Knowledge Technologies for Complex Business Environments, Ljubljana 2011. Organized by COIN FP7 Integrated Project and PlanetData FP7 Network of Excellence, the school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability with innovative services and project large-scale data management in business environments. The main topics of the winter school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modelling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies. Detailed information can be found here.

Subjects:: Management and Computing
Keywords:: Data mining Real-time data processing
Resource Type:: Presentation

Presentation

Logic-based ad-hoc business process management: Concepts and challenges

This video was recorded at 7th Extended Semantic Web Conference (ESWC), Heraklion 2010. The mission of the Extended Semantic Web Conference (ESWC 2010) is to bring together researchers and practioners dealing with different aspects of semantics on the Web. ESWC2010 builds on the success of the former European Semantic Web Conference series, but seeks to extend its focus by engaging with other communities within and outside ICT, in which semantics can play an important role. At the same time, ESWC2010 is a truly international conference. Semantics of web content, enriched with domain theories (ontologies), data about web usage, natural language processing, etc. will enable a web that provides a qualitatively new level of functionality. It will weave together a large network of human knowledge and make this knowledge machine-processable. Various automated services, based on reasoning with metadata and ontologies, will help the users to achieve their goals by accessing and processing information in machine-understandable form. This network of knowledge systems will ultimately lead to truly intelligent systems, which will be employed for various complex decision-making tasks. Research about web semantics can benefit from ideas and cross-fertilization with many other areas: Artificial Intelligence, Natural Language Processing, Database and Information Systems, Information Retrieval, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science. ESWC2010 will present the latest results in research and applications in its field. The research program will be organised in targeted tracks. In addition, the conference will feature a tutorial program, system descriptions and demos, a posters track, a Ph.D. symposium and a number of collocated workshops. The calls for these events are separate and can be found on the conference Web site (http://www.eswc2010.org/).

Subjects:: Management and Computing
Keywords:: Industrial management Workflow -- Management
Resource Type:: Presentation

Presentation

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

Presentation

Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process

This video was recorded at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Athens 2011. Hierarchical modeling and reasoning are fundamental in machine intelligence, and for this the two-parameter Poisson-Dirichlet Process (PDP) plays an important role. The most popular MCMC sampling algorithm for the hierarchical PDP and hierarchical Dirichlet Process is to conduct an incremental sampling based on the Chinese restaurant metaphor, which originates from the Chinese restaurant process (CRP). In this paper, with the same metaphor, we propose a new table representation for the hierarchical PDPs by introducing an auxiliary latent variable, called table indicator, to record which customer takes responsibility for starting a new table. In this way, the new representation allows full exchangeability that is an essential condition for a correct Gibbs sampling algorithm. Based on this representation, we develop a block Gibbs sampling algorithm, which can jointly sample the data item and its table contribution. We test this out on the hierarchical Dirichlet process variant of latent Dirichlet allocation (HDP-LDA) developed by Teh, Jordan, Beal and Blei. Experiment results show that the proposed algorithm outperforms their "posterior sampling by direct assignment" algorithm in both out-of-sample perplexity and convergence speed. The representation can be used with many other hierarchical PDP models.

Subjects:: Computing
Keywords:: Machine learning Artificial intelligence
Resource Type:: Presentation

Presentation

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

Presentation

Workshop on Semantic Business Process Management - Semantic business process validation

This video was recorded at 5th Annual European Semantic Web Conference (ESWC), Tenerife 2008. The degree of automation in the management of the business process space of single enterprises and whole value chains is still unsatisfying. A key source of problems are representational heterogeneities between the various perspectives and the various stages in the life-cycles of business processes. Typical examples are incompatible representations of the managerial vs. the IT perspective, or the gap between normative modeling for compliance purposes and process execution log data. As early as in the 1990s, researchers have evaluated the potential of using ontologies for improving business process management in the context of the TOVE project; however, the impact of that work remained beyond initial expectations. Since 2005, there is now a renewed and growing interest in exploiting ontologies, of varying expressivity and focus, for advancing the state of the art in business process management, in particular in ERP-centric IT landscapes. The term "Semantic Business Process Management" has been suggested for the described branch of research in an early 2005 paper, which is now frequently cited as the first description of the overall vision. A flagship activity in the field is the European research project "SUPER", with more than a dozen premier industrial and academic partners, among them SAP, IDS Scheer, and IBM. In the past two years, substantial advancement has been made in investigating the theoretical and practical branches of this vision. However, the interdisciplinary nature of the topic requires a tight collaboration of researcher from multiple fields of, namely the BPM, SOA, Semantic Web, Semantic Web services, and Economics communities. There is a clear need for an annual event at which those communities meet, debate, challenge each others approaches, and eventually align their research efforts. Due to the strong involvement of Semantic Web researchers in the field, ESWC is the ideal target venue for this event. In this workshop, we want to bring together experts from the relevant communities and help reach agreement on a roadmap for SBPM research. We aim at bundling experiences and prototypes from the successful application of Semantic Web technology to BPM in various industries, like automotive, engineering, chemical and pharmaceutical, and services domains. The particular focus is on deriving reusable best-practices from such experiences, and to yield convincing showcases of semantic technology.

Subjects:: Management and Computing
Keywords:: Industrial management Workflow -- Management
Resource Type:: Presentation

MOOC

Industry 4.0: How to Revolutionize your Business

An introduction to the fourth industrial revolution, it's major systems and technologies and how new products and services will impact business and society.

Subjects:: Industrial and Systems Engineering and Business Information Technology
Keywords:: Business intelligence Technological innovations Artificial intelligence -- Industrial applications Industrial engineering
Resource Type:: MOOC

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