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The seminar began with a warm welcome by Prof. ZHANG Weixiong, Associate Director of PAIR, followed by a brief introduction of the speaker by Prof. ZHANG Chengqi, Chair Professor of Artificial Intelligence. Prof. Liu kick-started his presentation by outlining the key milestones in the evolution of robotics, and pointed out that human-centred intelligent robots should be able to co-exist, cooperate and collaborate with humans. He stated that robotics is a truly interdisciplinary field that combines engineering, science and humanities. Next, through a series of case studies, Prof. Liu examined how intelligent robots have been designed to work alongside humans in various applications, including civil infrastructure maintenance, construction, and manufacturing. He then discussed the dynamics of collaboration between humans and robots, and examined issues such as trust, computational modelling, physical and cognitive workload, brain-robot interface and human-centred design. By reflecting on the lessons learnt from these case studies, Prof. Liu highlighted both successes and challenges. At the end of his presentation, Prof. Liu emphasised that human-robot teaming is an interdisciplinary field. He also pointed out some areas for further development in the field, highlighting the many opportunities in robotics.
Event date: 10/10/2024
Speaker: Prof. LIU Dikai
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Mechanical Engineering and Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Robotics Human-robot interaction
- Resource Type:
- Video
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Others
Maker education and the maker movement is all about project-based or problem-based learning. It relies on hands-on, collaborative experiences where projects focus on solving real problems in order to demonstrate learning.
Maker education originated from the maker movement in 2005 and gained traction in large part due to Make magazine and the popularity of events like Maker Faires. This movement brought together DIY-ers, hobbyists, and tinkerers from all different backgrounds who wanted to improve the world around them through collaboration and experimentation.
This emphasis on discovery through creating is at the heart of maker education—and the maker education movement.
- Keywords:
- Maker movement in education Makerspaces Maker movement Makerspaces in libraries
- Resource Type:
- Others
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MOOC
The metaverse isn’t just for gamers or developers, it will be for everyone. In this free course from the experts at Meta, you’ll learn what the metaverse is, what it means for our world today and into the future, and the opportunities it presents for both professionals and businesses.
Understand the metaverse fundamentals
Experts will guide you through a broad range of topics spanning the metaverse ecosystem, from communication and collaboration to NFTs and cryptocurrency, from avatars and devices to platforms and game engines. You’ll learn about augmented reality (AR), virtual reality (VR), extended reality, NFTs, blockchain, web3, cryptocurrency, and more.
Discover new ways to connect, learn, and work
The metaverse provides new ways to connect people, websites, platforms and realities. You’ll explore how it will enhance online social experiences, the future of work and learning.
Opportunities for professionals and businesses
The metaverse will be built by everyone, with creative and practical applications being developed every day by imaginative people. Learn how the metaverse will be applied in areas like healthcare, education, city planning, art, and more—and how you can start creating these experiences today. You’ll also learn how the metaverse can make the world a more diverse, equitable, and inclusive place.
By the end of the course, you’ll be equipped with the fundamental knowledge of the metaverse to determine future areas of interest, learning, or professional growth.
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Others
Networking is, as its name implies, work. And like any job, networking takes skills.
That's right: there’s more to the networking hustle than showing up at an event and hitting the bar. (It takes more than inviting someone to meet for a cup of coffee, too.) Networking has its own skillset, one that you have to work to hone. But luckily, you can get good at networking. Here's a guide on how to network—from how to view this often-dreaded activity to what to say and how to keep the conversation going.
- Keywords:
- Job hunting Career development Interpersonal relations Business networks Social networks
- Resource Type:
- Others
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Others
Picture this: You step into an elevator, and right after you steps in a well-dressed woman. She looks familiar, and as you squint your eyes you realize she is the CEO of the company where you’ve always wanted to work, a woman who you once met earlier in your career. She presses the button for floor 43. Can you tell her who you are, what your goals are, and leave a memorable impression before the elevator stops? The answer, of course, is yes – if you have a good elevator pitch!
This guide will give you the tools to craft a winning elevator pitch. It will take you through the elements of an elevator pitch, how to draft and practice the pitch, and how to deliver it successfully to anyone, whether it’s the CEO in the elevator or a person you bump into at a networking event.
- Keywords:
- Business presentations Job hunting Employment interviewing Interviewing
- Resource Type:
- Others
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Others
Managers have tried various strategies and perks to boost employee engagement—all with little impact on long-term retention and performance. But now, neuroscience offers some answers. Through his research on the brain chemical oxytocin—shown to facilitate collaboration and teamwork—Zak has developed a framework for creating a culture of trust and building a happier, more loyal, and more productive workforce.
By measuring people’s oxytocin levels in response to various situations—first in the lab and later in the workplace—Zak identified eight key management behaviors that stimulate oxytocin production and generate trust: (1) Recognize excellence. (2) Induce “challenge stress.” (3) Give people discretion in how they do their work. (4) Enable job crafting. (5) Share information broadly. (6) Intentionally build relationships. (7) Facilitate whole-person growth. (8) Show vulnerability.
Ultimately, Zak concludes, managers can cultivate trust by setting a clear direction, giving people what they need to see it through, and then getting out of their way. In short, to boost engagement, treat people like responsible adults.
- Keywords:
- Personnel management Corporate culture Employee motivation Trust
- Resource Type:
- Others
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MOOC
In today’s workplace, professionals don’t work alone, and rarely work with just one other person. More often, we are required to work in groups to strategize, design solutions, ideate, motivate, manage, and execute. This course, part of the Leadership Essentials Professional Certificate program, complements business communication skills and expands those competencies to provide a foundation for decision-making, consensus-building, and problem-solving within a group environment.
In this course, learners will analyze and evaluate their own experiences of leading and participating in teams, and will relate them to industry examples.
Topics in the course also include:
Team formation and development
Building, leading, organizing, and motivating teams
Managing conflict in groups to build productive professional relationships
Collaboration among cross-functional teams
Interpersonal relationship dynamics in small groups
- Keywords:
- Interpersonal communication Teams in the workplace Business communication
- Resource Type:
- MOOC
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Video
In past few years, hybrid/online teaching has been used during the COVID-19 pandemic. In this workshop, a 4C model: Content, Collaboration, Community and Communication is presented for hybrid/online teaching. To support the 4C model, various teaching/learning tools and resources can be used such as: presentation slides with annotations, chatbox communication, open educational resources, multiple choice exercises, group exercises, class surveys etc. Good practice and useful experience (e.g., how to handle the aforementioned tools smoothly in a class) will be shared through the workshop.
Event Date: 7/12/2022
Facilitator(s): Chan, Henry; Zhou, Laura
- Subjects:
- Good Practices
- Keywords:
- Internet in education Educational technology College teaching Blended learning Web-based instruction
- Resource Type:
- Video
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MOOC
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, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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Others
Learn more about finding a journal for publication, open access, predatory journals, your copyright as an author, social media in academics, enhancing your visbility, networking, tools for sharing and co-writing or research data management.