Search Constraints
Number of results to display per page
Results for:
Business Model Development
Remove constraint Business Model Development
« Previous |
1 - 10 of 186
|
Next »
Search Results
-
Video
In this talk I examine the role of humanities research where nearly every aspect of human experience is turned into data and analysed, in many cases to model, predict and modify behaviour. As a result and through advances in computing technology, artificial intelligence systems have colonised traditional areas of humanities research, including linguistics and language studies. Today, large multimodal models (LMM) can process text, images, videos and sound, potentially leading to the development of algorithmic approaches to modelling society and culture. In this talk, I explore how humanities researchers can leverage the benefits and mitigate the risks of these latest technological developments and prepare scholars for the challenges which lie ahead. I provide some examples from the Digital Media and Society Institute (DMSI) at the University of Liverpool where communication and media researchers are working with data scientists to investigate how multimodal information is re-contextualised across online media platforms. This includes new methods for studying information distortions (e.g. misinformation, disinformation and memes) and public reactions to key events.
Event date: 31/03/2025
Speaker: Professor Kay O’HALLORAN (University of Liverpool)
Hosted by: Faculty of Humanities
- Keywords:
- Artificial intelligence Research Humanities -- Research
- Resource Type:
- Video
-
Video
The rapid development of artificial intelligence and large language models have led to the language industry and translation and interpreting education programs re-imagining how to engage with these technologies. While some language industry stakeholders seek to leverage these tools to support the provision of language services and language access, others have sought to resist this technological incursion on ethical and professional grounds. The impact of these tools is undoubtedly far reaching, to the point that trainers and educators must now respond to these developments. This talk reviews some of the ways in which artificial intelligence, large language models, and translation and interpreting technologies can be leveraged in educational and training programs while offering possible means to resist uncritical adoption of these tools. The talk provides suggestions on how university programs can prepare future graduates to interface with these technologies and drive ethical and responsible technology use.
Event date: 13/02/2025
Speaker: Dr. Christopher D. MELLINGER (The University of North Carolina at Charlotte)
Hosted by: Faculty of Humanities
- Subjects:
- Translating and Interpreting
- Keywords:
- Artificial intelligence Translating interpreting -- Study teaching Translating interpreting -- Technological innovations
- Resource Type:
- Video
-
Video
The PolyU Academy for Interdisciplinary Research (PAIR) of The Hong Kong Polytechnic University (PolyU) today hosted its inaugural Public Forum for Research and Innovation. Titled “DeepSeek and Beyond”, the keynote speech was delivered by Prof. YANG Hongxia, Associate Dean (Global Engagement) of the PolyU Faculty of Computer and Mathematical Sciences and Professor of the Department of Computing, who highlighted the latest developments in artificial intelligence (AI). The event attracted over a thousand participants, including faculty members, students, alumni, and leaders from the innovation and technology sector, as well as academics and the public. Additionally, over 390,000 viewers tuned in through the live streaming platforms.
The Forum began with a welcoming speech delivered by Prof. CHEN Qingyan, Director of PAIR and Chair Professor of Building Thermal Science of the PolyU Department of Building Environment and Energy Engineering. This was followed by Prof. ZHANG Chenqi, Chair Professor of Artificial Intelligence of the PolyU Department of Data Science and Artificial Intelligence, and Director of the PolyU Shenzhen Research Institute introducing the speaker.
Prof. Zhang said, “The development of large models is at the core of competition in the AI wave. DeepSeek has demonstrated that high-performance AI models can be achieved using fewer and less advanced graphics processing units (GPUs), demonstrating that cutting-edge AI technology can be realised through the optimisation of algorithms.”
The large AI model developed by the mainland Chinese startup DeepSeek has garnered wide acclaim around the world for its low-cost, high-performance, and open-source framework, disrupting the traditional “computing power-first” logic of AI model training. At the Forum, Prof. Yang highlighted the potential of generative AI (GenAI), adding that it presents abundant opportunities for various sectors, including healthcare, finance, manufacturing, retail, media and fashion, and for applications in medical imaging analysis, fraud detection, predictive maintenance, retail inventory management, content creation, and design and marketing.
Prof. Yang also recounted the evolution of AI and shared her professional milestones with the audience, notably the development of the M6 large model, which trained a 10-trillion-parameters model using just 512 GPUs. Prof. Yang further elaborated on how her GenAI project, Co-GenAI, improves the accessibility of AI technology while minimising dependence on large-scale centralised computing resources, thereby transforming the trajectory of AI progress. This ground-breaking effort has positioned Hong Kong and the Mainland at the forefront of global advancement in GenAI.
Moderated by Prof. Zhang Chenqi, a panel discussion was also held, featuring esteemed panellists Prof. Yang Hongxia and Prof. LI Qing, Head and Chair Professor of Data Science of the PolyU Department of Computing, and Co-Director of the Research Centre for Digital Transformation of Tourism. The scholars discussed the opportunities and challenges that advancements in AI present for higher education and research. They also engaged in fruitful discussion with participants during the question-and-answer session. The topics included the application of AI in industry, the regulation of information, its impact on the employment environment and economic development, and the integration of AI technologies.
PolyU is committed to advancing AI education and research. In January 2025, the University established the Faculty of Computer and Mathematical Sciences with a vision to lead global advancements in digital transformation and AI through distinguished education, research, and knowledge transfer.
Event date: 11/03/2025
Speaker: Prof. YANG Hongxia
Hosted by: PolyU Academy for Interdisciplinary Research
-
Video
The lecture commenced with a warm welcome and a brief introduction of the speaker by Prof. CHEN Qingyan, Director of PAIR. Prof. Zheng kickstarted his presentation by outlining the key driving forces of innovation and technologies. He shared that achieving success in the “from zero to one” and the subsequent “from one to N” innovation stages often come with the inevitable “valley of death” period, which spans over a decade. He then elaborated on how he and his team have spent 20 years of relentless effort overcoming the “valleys of death” in studying structural superlubricity, building a model for talent development, and entering into the next “one-to-N” development phase. Prof. Zheng also shared the key turning points in his academic and research journey and outlined how the X-Institute nurtures interdisciplinary research talents.
Event date: 21/11/2024
Speaker: Prof. ZHENG Quanshui (Academician of the Chinese Academy of Sciences, Founding Principal of X-Institute and Professor of Tsinghua Shenzhen International Graduate School, China)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Scientists Technological innovations
- Resource Type:
- Video
-
Video
A rapidly expanding research area involves the development of routes to shape programmable three-dimensional (3D) structures with feature sizes in the mesoscopic range (that is, between tens of nanometres and hundreds of micrometres). A goal is to establish methods to control the properties of materials systems and the function of devices, through not only static architectures, but also morphable structures and shape-shifting processes. Soft matter equipped with responsive components can switch between designed shapes, but cannot support the types of dynamic morphing capabilities needed to reproduce continuous shape-shifting processes of interest for many applications. Challenges lie in the establishment of 3D assembly/fabrication techniques compatible with wide classes of materials and 3D geometries, and schemes to program target shapes after fabrication.
In this talk, Prof. HUANG Yonggang will introduce a mechanics-guided assembly approach that exploits controlled buckling for constructing complex 3D micro/nanostructures from patterned two-dimensional (2D) micro/nanoscale precursors that can be easily formed using established semiconductor technologies. This approach applies to a very broad set of materials (e.g., semiconductors, polymers, metals, and ceramics) and even their heterogeneous integration, over a wide range of length scales (e.g., from 100 nm to 10 cm). To allow realisation of 3D mesostructures that are capable of qualitative shape reconfiguration, Prof. HUANG devises a loading-path controlled strategy that relies on elastomer platforms deformed in different time sequences to elastically alter the 3D geometries of supported mesostructures via nonlinear buckling. Prof. HUANG will also introduce a recent work on shape programmable soft surface, constructed from a matrix of filamentary metal traces, driven by programmable, distributed electromagnetic forces that follow from the passage of electrical currents in the presence of a static magnetic field. Under the guidance of a mechanics model-based strategy to solve the inverse problem, the surface can morph into a wide range of 3D target shapes and shape-shifting processes. The compatibility of these approaches with the state-of-the-art fabrication/processing techniques, along with the versatile capabilities, allow transformation of diverse existing 2D microsystems into complex configurations, providing unusual design options in the development of novel functional devices.
Event date: 08/08/2024
Speaker: Prof. HUANG Yonggang (Northwestern University)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Buckling (Mechanics) Materials science Elastomers Microstructure
- Resource Type:
- Video
-
Others
This video is made by Dr. Pearl Lin and Dr. Clare Fung's project, "Great Case of Marketing in the Hospitality and Tourism Industry." A special thanks to Liu Yanqiu, who provided information and insights for this video. This case discusses how Shangri-La Hotel Group has launched the "K20 Happy Growth Plan" to target the parent-child market and address the challenges of high occupancy rates on weekdays and relatively quiet business on weekends. The plan involves launching various interactive and educational parent-child activities that leverage the hotel's characteristics, such as little chef programs and fire safety workshops. The marketing strategy has successfully increased hotel revenue, venue utilization, and exposure to the parent-child customer segment, but the hotels must continue innovating and promoting the activities to sustain the plan's development in the long run.
本視頻由林博士和馮博士的專案「酒店和旅遊業行銷的傑出案例」製作。特別感謝劉雁秋為本視頻提供信息和見解。本案例討論了香格裡拉酒店集團推出“K20快樂成長計劃”，針對親子市場，應對工作日入住率高、週末營業相對安靜的挑戰。該計劃包括推出各種互動式、教育性的親子活動，充分利用酒店的特色，如小廚師專案、消防安全工作坊等。該行銷策略成功地增加了酒店收入、場地利用率和對親子客戶群的曝光率，但從長遠來看，酒店必須繼續創新和推廣活動，以維持該計劃的發展。
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hotels -- Marketing Target marketing Family vacations Hospitality industry -- Marketing
- Resource Type:
- Others
-
PDF Video Website
Problem-solving and effective decision-making are essential skills in today’s fast-paced and ever-changing workplace. Both require a systematic yet creative approach to address today’s business concerns. This course will teach an overarching process of how to identify problems to generate potential solutions and how to apply decision-making styles in order to implement and assess those solutions. Through this process, you will gain confidence in assessing problems accurately, selecting the appropriate decision-making approaches for the situation at hand, making team decisions, and measuring the success of the solution’s implementation. Using case studies and situations encountered by class members, you will explore proven, successful problem-solving and decision-making models and methods that can be readily transferred to workplace projects.
- Keywords:
- Decision making Problem solving
- Resource Type:
- PDF, Video, and Website
-
PDF Video Website
Creativity concerns the development of new ideas. Throughout human history, the application of ideas has led to transformations of our daily lives and society. Modern business activity thrives on recently developed ideas, and it is through creativity that we address both challenges and opportunities. In this module, we will help you develop your implicit understanding and skills in creativity. You will be introduced to a series of creativity tools that can be used to augment the ideas you might come up with independently. Specifically, we will develop your skills in list, sticky-note, grid and alphabet brainstorming through an introduction to the principles of the tool, along with examples and an opportunity for you to have a go. A framework called the creativity diamond is used throughout the course to guide which approach to creativity to use and when.
- Keywords:
- Creative ability Creative thinking Problem solving
- Resource Type:
- PDF, Video, and Website
-
Video
Prof. Alex MIHAILIDIS, Associate Vice President of International Partnerships at the University of Toronto delivered the 19th PAIR Distinguished Lecture titled “The Future of Elder Care: Integrating Large Language Models” on 26 April 2024. The lecture attracted about 100 participants to join in person and captivated an online viewing audience of over 14,100 from different countries and regions to watch the live broadcast on multiple social media platforms, including Bilibili, WeChat, Weibo, YouTube, etc.
The lecture commenced with a welcome speech and speaker introduction by Prof. ZHENG Yongping, Director of the Research Institute for Smart Ageing (RISA), followed by an engaging presentation by Prof. Mihailidis. The content materials used in Prof. Mihailidis’s presentation were generated by ChatGPT, while he added the narrative.
In his presentation, Prof. Mihailidis first played several videos created by artificial intelligence (AI) to introduce what LLM is, how it can support elderly care services, some drawbacks of using LLM, and its future development. He supplemented that LLMs are advanced AI systems capable of understanding and generating human-like texts, as well as visual outputs and models that can respond to or interact with users. Next, Prof. Mihailidis outlined the specific benefits of using LLMs in elderly care, including the support tools and resources they offer to caregivers. He then delved into the ethical considerations and challenges in LLM design, such as privacy concerns, the risk of over-dependence on technology, and the barriers to technology adoption by older adults and their caregivers. To conclude, Prof. Mihailidis emphasised the role of empathetic and emotionally-intuitive AI in enhancing the quality of life for the elderly and supporting the caregiving ecosystem.
Following the presentation was a lively and insightful question-and-answer session moderated by Ir Prof. Zheng. The audience had a fruitful discussion with Prof. Mihailidis. A souvenir was presented by Prof. CHEN Qingyan, Director of PAIR, to thank Prof. Mihailidis for his excellent presentation and support to PAIR.
Event date: 26/04/2024
Speaker: Prof. Alex MIHAILIDIS (University of Toronto)
Hosted by: PolyU Academy for Interdisciplinary Research
-
Video
The lecture commenced with a welcome speech and speaker introduction by Prof. WANG Zuankai, Associate Vice President (Research and Innovation). In his presentation, Prof. Chen first gave a brief introduction to the United Nations’ 17 Sustainable Development Goals (SDGs) as well as the SDG monitoring practices in Mainland China. He pointed out that the Nation has adopted the high quality sustainable development concept, which emphasises harmonising the social, economic and environmental aspects in national development. Next, he elaborated on a pilot project that he led to measure Deqing County’s progress towards SDGs using geospatial and statistical information. The project was selected by the UN Department of Economic and Social Affairs as one of the first 16 good SDGs’ practices in 2020. After that, Prof. Chen shared that the achievement of sustainable development requires holistic and systematic research to build a digital governance system that can provide the basis for the scientific and orderly development of national territorial space. He also explained how territorial space sustainability studies can help unveil and analyse various patterns, such as the distributions of population, enterprises and public service facilities, and the relationships between them. To conclude, Prof. Chen introduced the national program on the development of the Realistic Geospatial Landscape Model (3dRGLm), which can generate digital description and representation of the real 3D geospatial spaces. This new geographic information system can support the Nation in achieving natural resources management and high quality sustainable development.
A question-and-answer session moderated by Prof. DING Xiaoli, Director of the Research Institute for Land and Space (RILS) and Prof. WENG Qihao, Associate Director of RILS, followed. The online and on-site audience engaged in a productive discussion with Prof. Chen.
Event date: 27/03/2024
Speaker: Prof. Jun CHEN (National Geomatics Center of China)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Sustainable development Geospatial data China Sustainable Development Goals Geographic information systems
- Resource Type:
- Video