South australian machine learning seminar series talk 4 25 august 2016
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The talk will discuss recent advances in vision-to-language problems like image captioning and visual question answering. Image captioning requires machines to describe images in human-readable sentences, while visual question answering asks machines to answer language-based questions based on visual information. The speaker will outline theories and techniques for these tasks and provide a live demo of image captioning. The speaker, Dr. Qi Wu, is a senior research associate who has published papers on these topics, with one model producing the best results on an image captioning challenge.
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JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
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What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
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In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
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In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
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Apps Break Data
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This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
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South australian machine learning seminar series talk 4 25 august 2016
- 1. South Australian Machine Learning Seminar Series Abstract The fields of natural language processing (NLP) and computer vision (CV) have seen great advances in their respective goals of analysing and generating text, and of understanding images and videos. While both fields share a similar set of methods rooted in artificial intelligence and machine learning, they have historically developed separately. Recent years, however, have seen an upsurge of interest in problems that require combination of linguistic and visual information. For example, Image Captioning and Visual Question Answering (VQA) are two important research topics in this area. Image captioning requires the machine to describe the image using human readable sentences while the VQA asks a machine to answer language-based questions based on the visual information. In this talk we outline some of the most recent progresses, present some theories and techniques for these two Vision-to- Language tasks, and show a live demo of the image captioning. About the Speaker Dr Qi Wu obtained a BSc in Information and Computing Science from the China Jiliang University (China), and an MSc in Global Computing and Media Technology, a PhD in Computer Science from the University of Bath (United Kingdom). He is currently a Senior Research Associate in the Australia Centre for Visual Technology (ACVT) in the University of Adelaide, Australia. Dr Qi Wu joined the ACVT in 2015 and started to work on the Vision-to-Language problems. He is especially interested in the problem of Image Captioning and Visual Question Answering. He has two papers accepted in the CVPR 2016, all about these two topics. His image captioning model produced the best result in the Microsoft COCO Image Captioning Challenges in the last year and his VQA model is the current state-of-the-art in the area. Speaker: Dr Qi Wu Senior Research Associate- Australia Centre for Visual Technology (ACVT), University of Adelaide, Australia Date: 25 August 2016 Time: 12:10 to 13:00 Followed by pizza! Location: Uni. Adelaide Lower Napier Bldg LG28 Lecture Theatre Seating is limited: RSVP on eventbrite https://visualquestionanswering.even tbrite.com.au More info: mark.mcdonnell@unisa.edu.au sebastien.wong@dsto.defence.gov.au The IEEE Computer Society & IEEE Signal Processing Society present