Technologies for the Fashion Industry_ What’s new_ (1).pdf
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Technologies for the Fashion Industry lecture by Hawa Stowdah presented at Saudi Garment Week, October 2023 , Riyadh Saudi Arabia
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Technologies for the Fashion Industry_ What’s new_ (1).pdf
- 1. Hawa Stwodah, MFA Assistant Professor, Fashion Design
- 2. XR Collaboration, Smart Fashion, Artificial Intelligence–Design/Commerce ● AR/VR/MR and XR ● 3D software ● Artificial Intelligence ● E-Commerce & Data analytics
- 3. AR/VR/MR XR
- 5. AR/VR/MR XR https://www.youtube.com/watch?v=E0QLVj9FJ0A 3D near-eye displays to give the user an immersive feel of a virtual world
- 6. AR/VR/MR XR https://www.youtube.com/watch?v=E0QLVj9FJ0A interactive experience that combines the real world and computer-generated content
- 7. AR/VR/MR XR https://www.youtube.com/watch?v=E0QLVj9FJ0A the merging of a real-world environment and a computer-generated one
- 11. 3D software
- 12. Media
- 15. Generative AI ar·ti·fi·cial in·tel·li·gence noun noun: artificial intelligence; noun: AI the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Oxford Languages AI generative AI is a type of artificial intelligence technology that can produce various types of content including text, imagery, audio and synthetic data. noun: a system that emulates aspects of human intelligence Defined by Dr Ahmed Zaidi in BOF Professional Summit noun https://www.businessoffashion.com/events/technology/professional-technology- summit-learning-artificial-intelligence-web3-impact-fashion/ Focus
- 16. 1950: Alan Turing publishes Computing Machinery and Intelligence https://www.britannica.com/technology/artificial-intelligence/Methods-and-goals-in-AI 1956: John McCarthy coins the term 'artificial intelligence' at the first-ever AI conference at Dartmouth College 50s 1980s: Neural networks which use a back propagation algorithm to train itself become widely used in AI applications. “deep learning” techniques allowed computers to learn using experience. 1960-70s: Machine learning algorithms improved and people got better at knowing which algorithm to apply to their problem https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/ 60-70s 80s 2016: DeepMind's program, powered by a deep neural network, beats world champion Go player, in a five-game match. The victory is significant given the huge number of possible moves as the game progresses (over 14.5 trillion after just four moves!). Later, Google purchases DeepMind for a reported USD 400 million. 2016 Focus 2019 https://builtin.com/artificial-intelligence Collect huge amounts of data
- 17. 3rd 1st 2nd Focus https://www.businessoffashion.com/events/technology/professional-technology-summit-learning-artificial- intelligence-web3-impact-fashion/ rule based system representations are numbers written (manually) out all the scenarios machine learning representation is a number automatic rules are learned with data, consumer data, mapping between products deep learning numbers change to vectors with more complex information more than just single number more of a “table” with series column (embedding knowledge) of information automate the rules Generative AI Collect huge amounts of data
- 18. Focus https://www.simplilearn.com/tutorials/deep-learning-tutorial/what-is-deep-learning deep learning Generative AI Deep learning has aided image classification, language translation, speech recognition. It can be used to solve any pattern recognition problem and without human intervention. is a field that is based on learning and improving on its own by examining computer algorithms. imitate how humans think + learn. Big Data analytics have permitted larger, sophisticated neural networks, allowing computers to observe, learn, and react to complex situations faster than humans.
- 19. LLaMA Applications an experimental Google chatbot that is powered by the LaMDA large language model. a new version of its Bing search engine that included a chatbot powered by OpenAI's GPT-4 language technology. https://www.cnbc.com/2023/03/16/microsoft-to-improve-office-365-with-chatgpt-like-generative-ai- tech- .html#:~:text=In%20February%2C%20Microsoft%20debuted%20a,OpenAI's%20GPT%2D4%20language%20t GPT (4) copilot LLaMA intended to aid scientists and engineers in exploring AI applications and functions such as answering questions and summarizing documents https://www.entrepreneur.com/business-news/metas-unveils-new-large-language-model- llama/446469
- 20. DALL·E from Open Al DreamStudio from Stable Diffusion(Stability Ai) https://zapier.com/blog/best-ai-image-generator/ MidJourney from Discord (beta) Text-to-image Applications
- 21. Applications
- 22. Generative AI Prompts are crucial Muslim girl wearing avant -garde Rick Owens clothing, Yohji Yamamoto and Comme Des Garcon clothing ina dynamic high-movement, JoJo pose, 4K, 8K Chewbacca in Rick Owens G-Ai
- 24. Applications According to Servion Global Solutions, by 2025, 95% of customer interactions will be powered by AI. https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/artificial-intelligence- applications https://www.businessoffashion.com/events/technology/professional-technology-summit-learning-artificial-intelligence-web3-impact-fashion/ AI Application in E-Commerce ● Personalized Shopping ● AI-Powered Assistants ● Fraud Prevention https://www.forbes.com/sites/theyec/2023/02/21/artificial ● Supply Chain Management ● Marketing
- 25. Applications automated shopping experiences to voice-activated fittings https://www.businessoffashion.com/events/technology/professional-technology-summit-learning-artificial-intelligence-web3-impact-fashion/ AI-enabled chatbots offer customers the opportunity to shop in the convenience of their own homes by providing personalized recommendations, interactive product displays and styling advice https://www.forbes.com/sites/forbesbusinesscouncil/2023/02/10/the-future-of-fashion-exploring-how-artificial-intelligence-is-transforming-the- helping fashion entrepreneurs get closer to their customers by providing greater personalization and convenience insights into customer behavior, empowering fashion entrepreneurs to create more relevant and better- targeted marketing campaigns
- 28. https://mashable.com/article/levi-strauss-lalaland-ai-models https://www.businessoffashion.com/events/technology/professional-technology-summit-learning-artificial-intelligence-web3-impact-fashion/ Levi's plans on testing the use of these models to "supplement human models, increasing the number and diversity of our models for our products in a sustainable way," it announced in a press release. Applications (use case)
- 30. Analysis “I don’t believe these programs will become sentient. They can only pull from data provided and will follow the paths and directions of that data.” Bridget McInnes Ph.D.
- 31. Analysis “There is a gap between what people wear and what they look like on social media or the metaverse. There is a growing divide. How will we use AI in fashion to bridge that? Is it the data sets? Fit? It will be useful in the backend, with supply chain and how garments will produced more efficiently.” Sylvia Heisel
- 32. Hawa Stwodah, MFA Assistant Professor, Fashion Design Thank you