Digital Twins – Techiespedia.org

What is a Digital Twin?

Harness the Power of Your Data With our Ultimate Guide to SCADA:
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For an explanation of using Digital Twins in smart building applications, check out our Smart Building ebook: https://www.onlogic.com/technology/whitepapers/smart-building-ebook/

A digital ...twin can provide insights into real-world products, processes and places that were once impractical or even unattainable. In this video we're giving you an overview of digital twin technology and showing you why it's one of the cornerstone advancements that's enabling digital transformation.

Learn more on our blog: https://www.onlogic.com/company/io-hub/what-is-a-digital-twin-examples-and-use-cases/?utm_source=Youtube&utm_medium=social&utm_campaign=digital_twin&utm_term=digital_twin&utm_content=blog

#DigitalTwin #DigitalTransformation

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What is a Digital Twin?

Harness the Power of Your Data With our Ultimate Guide to SCADA: [...]

What is Digital Twin?

A digital twin for AEC is a dynamic, up-to-date replica of a physical [...]

What is a Digital Twin?

This video discusses what a digital twin is, why you would use digital [...]

What is Digital Twin? How does it work?

What is digital twin? A digital twin refers to a virtual model of a [...]

Digital Twin Concept Explained in 4 Minutes

#AtosPartner Digital Twin Concept Explained in 4 Minutes. Watch my [...]

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Digital Twin Concept Explained in 4 Minutes.

Watch my interview with Murli Mohan.
____________________________

My name is Ronald Van Loon and I would like to invite you to join me on ...the journey through the intelligent world, and have a deeper look into technological development that are shaping a world and transforming business.

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As a recognized expert and thought leader in this field, I work with data-driven companies to generate business value so that they may meet and exceed goal after goal.

I have been recognized for my work in the field of digital transformation by such publications and organizations as Onalytica, Dataconomy, and Klout. In addition to these recognitions, I am also an author for a number of leading big data websites, including The Guardian, The Datafloq, and Data Science Central, and I regularly speak at renowned events and conferences.

How I Help Companies Generate Business Value

I write relevant articles & host webinars on Artificial Intelligence, Machine Learning, big data, IoT, data science, analytics and other digital transformation topics, which I distribute to an audience of over 100,000 social media fans and followers.
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Category
Science & Technology

Azure Digital Twins demo | Creating replicas of real-world environments

Azure Digital Twins lets you model assets and environments ranging [...]

Digital twins: A personalized future of computing for complex systems | Karen Willcox | TEDxUTAustin

Digital twins have the potential to enable safer and more efficient [...]

Digital twins have the potential to enable safer and more efficient engineering systems, a greater understanding of the natural world around us, and better medical outcomes for all of us ...as individuals. Director of UT Austin's Oden Institute for Computational Engineering and Sciences, Karen Willcox, outlines the key role played by predictive models and data assimilation in creating digital twins, and how this technology can continue to change our world for the better.

Karen E. Willcox is Director of the Oden Institute for Computational Engineering and Sciences, Associate Vice President for Research, and Professor of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. She holds the W. A. “Tex” Moncrief, Jr. Chair in Simulation-Based Engineering and Sciences and the Peter O'Donnell, Jr. Centennial Chair in Computing Systems. Prior to joining the Oden Institute in 2018, she spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as Professor of Aeronautics and Astronautics, the founding Co-Director of the MIT Center for Computational Engineering, and the Associate Head of the MIT Department of Aeronautics and Astronautics. She is also an External Professor at the Santa Fe Institute.

Willcox holds a Bachelor of Engineering Degree from the University of Auckland, New Zealand, and masters and PhD degrees from MIT. Prior to becoming a professor at MIT, she worked at Boeing Phantom Works with the Blended-Wing-Body aircraft design group. She is a Fellow of the Society for Industrial and Applied Mathematics (SIAM), a Fellow of the American Institute of Aeronautics and Astronautics (AIAA), and in 2017 was appointed Member of the New Zealand Order of Merit (MNZM) for services to aerospace engineering and education. In 2022 she was elected to the National Academy of Engineering (NAE).

In addition to her research pursuits, Willcox is active in education innovation. She served as co-Chair of the MIT Online Education Policy Initiative, co-Chair of the 2013-2014 Institute wide Task Force on the Future of MIT Education, and Chair of the MIT OpenCourseWare Faculty Advisory Board. She is a recognized innovator in the U.S. education landscape, where she is a 2015 recipient of a First in the World Department of Education grant that developed and deployed educational technologies in community colleges. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

Minds + Machines: Meet A Digital Twin

Colin J. Parris, Ph.D., VP of Software Research, GE Global Research Center, offers a fascinating look at Digital Twin technology.

Learn how this convergence of the mind of humans ...talking to the mind of machines is profoundly changing everything we know. A living model driving business outcomes, Digital Twin brings see-think-do capabilities to industry, informing and executing at the edge.

REGISTER FOR MINDS + MACHINES 2017:
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https://www.ge.com/digital

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CONNECT WITH GE DIGITAL ONLINE:

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Follow GE Digital on Twitter: https://twitter.com/GE_Digital
Find GE Digital on LinkedIn: https://www.linkedin.com/company/2681277

Minds + Machines: Meet A Digital Twin

Colin J. Parris, Ph.D., VP of Software Research, GE Global Research [...]

Digital Twins

This lecture discusses the use of data-driven digital twins in [...]

Simple Example of a Digital Twin in IoT ICIP Lesson

ICIP Technology Course : Module 2 : Lesson 2 This lesson is from the [...]

What is a Digital Twin?

This video discusses what a digital twin is, why you would use digital [...]

Augmented Reality Digital Twin Santa Cruz Synopsis Demo Video

Siemens: AI and Digital Twins for Manufacturing (CxOTalk)

A digital twin is a virtual representation of a physical object, [...]

A digital twin is a virtual representation of a physical object, process, or machine that enables companies to understand and optimize how that machine operates. A digital twin is a ...computer model of a real-world system that captures all the variables in that system -- including how materials interact with other materials, machines, or people in the factory -- along with algorithms that help predict how the system might behave under various conditions.

Dr. Norbert Gaus is one of the world's leading experts on digital twins and is EVP for Research and Development for Digitalization and Automation at Siemens Corporate Technology.

In this video, Dr. Norbert Gaus discusses the challenges of bringing digital twin automation to life. He offers sage advice to business leaders considering digital twin technology for their own companies.

In this conversation you will learn about topics that include:
-- What is a digital twin?
-- How a digital twin improves manufacturing
-- Machine learning models used to create a digital twin
-- Ensuring the digital twin accurately represents the physical object
-- Digital twins across the product lifecycle
-- Customer applications for the digital twin

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For the complete transcript, see: https://www.cxotalk.com/video/how-use-digital-twin-ai-improve-manufacturing

Be sure to subscribe to the CXOTalk newsletter: https://www.cxotalk.com/subscribe
===

Dr. Norbert Gaus of Siemens Corporate Technology defines the concept of a digital twin as a "digital representation of a physical product in all its aspects." Digital twin technology can speed time to market, reduce costs, and allow a company to create a much broader portfolio of products.

Dr. Gaus explains how Siemens uses AI-based simulations to take the place of creating multiple physical prototypes to achieve new designs. He describes how Siemens combines a digitized version of the physical product with artificial intelligence throughout the product life cycle. That product lifecycle includes design, components, manufacturing, operations, and service and maintenance.

Digital Twins: The power of a virtual visual copy - Unite Copenhagen

From buildings and infrastructure to industrial machinery and [...]

Why digital twins will be the backbone of industry in the future

For industry and the internet of things (#IoT), digital twins, [...]

Digital Twins via BIM CDE, IoT, PIM & AIM

Azure Digital Twins introduction

Here is an introduction to Azure Digital Twins, a new Azure service [...]

IoT and Machine Learning - Changing the Future | Dr. Dennis Ong | TEDxOhioStateUniversity

Dr. Dennis Ong is a Technology Evangelist. Dr. Ong is Distinguished [...]

Dr. Dennis Ong is a Technology Evangelist.

Dr. Ong is Distinguished Architect and Managing Principal at Verizon. Previously, he served as Chief Architect and Director at Nokia, Alcatel-Lucent, Lucent, and ...AT&T. He and his teams have launched many innovative and award-winning solutions combining the strengths of high tech companies and multitude of start-up companies.

At Verizon, he is working with startups to utilize IoT and Machine Learning to create Smart City solutions to address the most challenging problems facing cities and municipalities. At Nokia, he led a recently acquired start-up to develop the IoT IMPACT platform which received the ""Best IoT Innovation for Mobile Networks"" award at the 2017 Mobile World Congress. At Alcatel-Lucent, he and his team collaborated with three start-ups, based in India, Israel, and Silicon Valley, in creating a highly scalable video optimization and analytics platform that served tens of millions of mobile subscribers worldwide. At Lucent, he launched the first packet-based cellular small cell solution with a start-up in Boston.

Originally from Hong Kong, Dennis received Ph.D. in Electrical Engineering from the Ohio State University as University Fellow and MBA with honors from the University of Chicago. He was an adjunct faculty at the Ohio State University.

Dennis and his wife, Timmy, enjoy coaching Christian marriage retreats. They are proud parents of three children – Joshua, Jeremiah, and Hannah. Dennis is an active learner and an avid swimmer. Dr. Dennis Ong is Distinguished Architect and Managing Principal at Verizon. Previously, he served as Chief Architect and Director at Nokia, Alcatel-Lucent, Lucent, and AT&T. He and his teams have launched many innovative and award-winning solutions combining the strengths of high tech companies and multitude of start-up companies. At Verizon, he is working with startups to utilize IoT and Machine Learning to create Smart City solutions to address the most challenging problems facing cities and municipalities. At Nokia, he led a recently acquired start-up to develop the IoT IMPACT platform which received the ""Best IoT Innovation for Mobile Networks"" award at the 2017 Mobile World Congress. At Alcatel-Lucent, he and his team collaborated with three start-ups, based in India, Israel, and Silicon Valley, in creating a highly scalable video optimization and analytics platform that served tens of millions of mobile subscribers worldwide. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

What is Artificial Intelligence? In 5 minutes.

There is so much discussion and #confusion about #AI nowadays. People [...]

Internet of things - beyond our current imagination | Ashkan Fardost | TEDxÖstersund

Ashkan talks about internet of things, what we can expect in the [...]

The Digital Twin: Realizing Transformation (Introduction)

At Siemens PLM Connections (May 2017), President and CEO Tony [...]

Azure Sphere & Digital Twins : Building the Secure Intelligent Edge | Ignite 18

See how you can pragmatically harness AI and IOT in your apps. Join [...]

Azure Digital Twins + HoloLens: Powering the Next Generation of IoT - THR1002

Your app canvas is no longer limited to a 2D environment; the world in [...]

What is edge computing?

Learn more about Edge Computing: https://ibm.co/2kMm7yp Check out IBM [...]

Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn

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This Machine Learning basics video will help you understand what Machine Learning is, what are the types of Machine Learning - supervised, unsupervised & reinforcement learning, how Machine Learning works with simple examples, and will also explain how Machine Learning is being used in various industries. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into self-learning mode without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results.

The below topics are explained in this Machine Learning basics video:
1. What is Machine Learning? ( 00:21 )
2. Types of Machine Learning ( 02:43 )
2. What is Supervised Learning? ( 02:53 )
3. What is Unsupervised Learning? ( 03:46 )
4. What is Reinforcement Learning? ( 04:37 )
5. Machine Learning applications ( 06:25 )

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Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn

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This video on What is Deep Learningprovides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.

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It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.

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Port of Rotterdam: Europe's Strongest Digital Twin Case Study | IoT World Europe 2018 webinar

The Port of Rotterdam talk us through their digital twin [...]