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Artificial intelligence
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Video
The seminar began with a warm welcome by Prof. CHEN Qingyan, Director of PAIR, followed by a brief introduction of the speaker by Mr Gavin NGAI, Deputy Director of the Global Engagement Office. Dr Tzezana commenced his presentation by identifying the common myths about AI and discussing how these myths hinder public awareness of AI’s rapid development in various fields. He then projected AI’s capabilities towards the end of the decade, suggesting that AI would soon outperform humans in many areas. Dr Tzezanna also examined the broader implications of these advancements, particularly their impact on the future of work, and offered insights into the skills and knowledge areas essential for staying competitive and successful in this rapidly evolving landscape.
Event date: 24/9/2024
Speaker: Dr Roey TZEZANA
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Computing and Mechanical Engineering
- Keywords:
- Artificial intelligence
- Resource Type:
- Video
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Others
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
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Others
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
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Courseware
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
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Courseware
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