Didier Stricker
Mobile: +49-176-1234567
didierstricker@gmail.com
German Research Center for Artificial Intelligence (DFKI)
www.dfki.de
Thank you for your interest!
Bluetooth is watching you, bluetooth is everywhere and they are tracking your every move. Learn how to detect the surveillance system. For hacking, for fun and for privacy.
Bluetooth is watching you, bluetooth is everywhere and they are tracking your every move. Learn how to detect the surveillance system. For hacking, for fun and for privacy.
Artificial Intelligence in Fashion, Beauty and related Creative industriesPetteriTeikariPhD
Quick introduction for artificial intelligence / deep learning applications in fashion, beauty and creative industries.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/creativeAI.pdf
Fashion Technologies * Fashion Product Design, Development and Merchandising. How technology is used in the fashion industry. The importance of learning off the shelf applications for careers in the fashion industry.
1. An overview of potential AR/VR applications in fashion
2. An overview of the eTryOn consortium project, doing R&D into 3 of these applications
3. Key technical challenges and opportunities for XR in fashion over the next few years
Online shopping has found speedy growth for the fast-paced world in the present situation. Precisely garments shopping are one of the most exciting parts especially for ladies. The continuous changing fashion and newly designed outfits motivates customers for shopping. New online shopping stores have added an ease for shopping your desired products by removing the constraints of places and time limits. As far as garments are concerned, predicting the appropriate size and imaging the real life look of that garment just by viewing its image is a challenging task.
The project introduces an easy and feasible solution for the online shopping try-on scenario by introducing an app with a digital try-on feature. It can enhance online shopping experience. In this project, we propose an idea for fitting a given 3D garment model on a person. We will use 3d models of the clothes that will fit on the image of the user and enable a user to see himself/herself wearing virtual clothes. The 3D models of the clothes are stored in the system. On opening the application, user can view the clothes available and by using the mobile’s camera the user can get an idea of how the garment will fit on him/her. This way the user can have a fair idea about the look of the garment.
The Evolution of 3D Clothing - Reshaping FashionWave PLM
From the tailored elegance of yesteryears to the fast-paced trends of today, the journey of clothing has been an ever-evolving narrative. Now, on the horizon of fashion’s frontier, emerges a revolution that promises to reshape the very fabric of how we conceive and wear attire: the advent of 3D clothing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Artificial Intelligence in Fashion, Beauty and related Creative industriesPetteriTeikariPhD
Quick introduction for artificial intelligence / deep learning applications in fashion, beauty and creative industries.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/creativeAI.pdf
Fashion Technologies * Fashion Product Design, Development and Merchandising. How technology is used in the fashion industry. The importance of learning off the shelf applications for careers in the fashion industry.
1. An overview of potential AR/VR applications in fashion
2. An overview of the eTryOn consortium project, doing R&D into 3 of these applications
3. Key technical challenges and opportunities for XR in fashion over the next few years
Online shopping has found speedy growth for the fast-paced world in the present situation. Precisely garments shopping are one of the most exciting parts especially for ladies. The continuous changing fashion and newly designed outfits motivates customers for shopping. New online shopping stores have added an ease for shopping your desired products by removing the constraints of places and time limits. As far as garments are concerned, predicting the appropriate size and imaging the real life look of that garment just by viewing its image is a challenging task.
The project introduces an easy and feasible solution for the online shopping try-on scenario by introducing an app with a digital try-on feature. It can enhance online shopping experience. In this project, we propose an idea for fitting a given 3D garment model on a person. We will use 3d models of the clothes that will fit on the image of the user and enable a user to see himself/herself wearing virtual clothes. The 3D models of the clothes are stored in the system. On opening the application, user can view the clothes available and by using the mobile’s camera the user can get an idea of how the garment will fit on him/her. This way the user can have a fair idea about the look of the garment.
The Evolution of 3D Clothing - Reshaping FashionWave PLM
From the tailored elegance of yesteryears to the fast-paced trends of today, the journey of clothing has been an ever-evolving narrative. Now, on the horizon of fashion’s frontier, emerges a revolution that promises to reshape the very fabric of how we conceive and wear attire: the advent of 3D clothing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Climate Impact of Software Testing at Nordic Testing Days
Mywardrobe1.1
1. Didier Stricker
Constantin Thiopoulos
German Research Center of Artificial Intelligence
DFKI
2. Mission
Market leader in B2C
apparel market places Provide an innovative
through the use of business model that
advanced technologies attracts both designers
enabling virtual try-on and buyers
and customised clothing
3. Mass Customisation
To Succeed with Mass Customised Clothing and
Apparel Products:
Empower Your Customers With Design Assistance
Focus On Fit Before Style
Create A Concise And Simple Configurator
(Forrester Research, July 5, 2011 - It's Time For Mass-Customized Clothing And Apparel Products -
Product Strategists Must Overcome Three Challenges To Succeed
http://www.forrester.com/rb/Research/time_for_mass-
customized_clothing_and_apparel_products/q/id/59006/t/2)
4. Market trends
Google launches http://blink.boutiques.com/
Amazon buys http://www.zappos.com/ and
buyvip.com
eBay launches lookbook for fashion
5. Technology trends
13 Mio. Kinect already available
Competitor offer products as well, e.g.
Xtion!
3D graphics for web is now available
(special download, drivers or Java are not required!)
6. DFKI Technology 1: 3D body scanning @ home
Low cost 3D scanning solution
for small shops and even at
home!
Full 3D body-scanning with a single
Time of Flight (ToF) or Kinect camera
Automatic extraction of body measures
out of the 3D model
3D shape and appearance (colored 3D
model) of the customer!
3D scanning with a single
camera is a unique technology
7. DFKI Technology 2: online configurator -
generating virtual clothes from designs
The user chooses a given
design and interactively
configure and personalize it
Size adjustment
Color and pattern
2D and 3D viewer for interactive design
(configuration) and sizing of the clothes
8. DFKI Technology 3: Virtual try-on
Shopping experience and style selection
Real-time visualization of clothes onto the
body
Natural interaction with the mirror for
choosing the cloth out of the catalogue
Saving of snapshots of the prefered
clothes – link to social networks, or send
the image per mail
Online purchase with the correct
(measured!) size and personal design
9. Market place
Designer
evaluation
Designer delivers to
the customer
Body measures to designer
Place order(s)
Exchange on-line with friends
Virtual try-on, selected items in virtual wardrobe
3D TOF body scanner extracts body measures
The configurator generates virtual clothes
Designer imports desings, exported from a CAD system
10. Business model
World-wide market place
Revenue sharing with Designers
Virtual wardrobe can be shared on-line with
friends and over mobile app
Body scan enables full customisation and
exact try-on
Evaluation of performance of designers
11. Benefits
Anyone can be a designer
Designers need to produce clothes AFTER
they have been ordered
Possibility of highy customisable clothes
The user can select an item after exact try-on
Management of virtual wardrobe
Anywhere-anywhen try-on (web&mobile)
No need for retail
Low return rates
Second opinion by friends
12. Monetisation
Revenue sharing with designers: 70%
designer, 30% market place
Revenue sharing with ASP design
systems
Advertisement: Presentation of new
collections
Fashion trend reports
13. Market Size
Online retail sale (Forrester)
US: 2010 $172.9 Billion, 2014 $248,7
Billion
EU: 2010 $93 Billion, 2014 $156 Billion
Computer, apparel and consumer
electronics 44% in 2010, 53% in 2014
14. Main Competitors
http://fits.me/ size has to be given by the
user, shirt shown on a virtual model
http://www.zugara.com/augmented-
reality/e-commerce no body scan, not
exact fitting
16. Competive Advantages
Body Virtual social customised Market
scan try-on place
fitsme no no no yes no
zugara no yes yes no no
mywardrobe yes yes yes yes yes
17. Marketing Strategy
Involve designers to create content
Quality control of designers
Promote to users through social
networks
Consider kinnect app store
Provide support and designers
evaluation
18. State of development
Body scan technology:
3D body scanning with Kinect is available
Virtual try-on
2D overlay available
3D virtual try-on is under-development
Generation of virtual clothes from designs
Partial solution for simple patterns
Re-design of the user-interface and re-definition
of user requirement for online use is necessary!