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A primer on digital twin technology

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In the 21st century, the concept of a twin need not be confined to fraternal or identical--a twin can be digital too. Digital twins have caught the eyes of some of the biggest companies in the world--Amazon and Nvidia, for instance, both made announcements about new digital-twin initiatives within the last month--as well as those of specialists like infrastructure engineering software company Bentley Systems. The concept started gaining traction at the beginning of the century, and picked up steam in the early 2010s when the rise of IoT made digital twins more feasible. As of 2020, it was estimated to be a $3.1 billion market, per Markets and Markets, and projected to grow into a $48.2 billion industry by 2026. So...what is a digital twin?


Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI - AI Trends

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Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA). That's what attendees learned in two sessions at the AI World Government live and virtual event held in Alexandria, Va. last week. Pamela Isom, Director of the AI and Technology Office at the DOE, who spoke on Advancing Trustworthy AI and ML Techniques for Mitigating Agency Risks, has been involved in proliferating the use of AI across the agency for several years. With an emphasis on applied AI and data science, she oversees risk mitigation policies and standards and has been involved with applying AI to save lives, fight fraud, and strengthen the cybersecurity infrastructure. She emphasized the need for the AI project effort to be part of a strategic portfolio.


10 Python Code Snippets For Everyday Programming Problems - GeeksforGeeks

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In recent years, the Python programming language has seen a huge user base. One of the reasons could be that it is easier to learn as compared to other object-oriented programming languages like Java, C, C#, JavaScript, and therefore more and more beginners who are entering the field of computer science are opting for Python. Another reason why the popularity of Python has shot up is that it is used in almost all domains of the IT industry, be it data science, machine learning, automation, web scraping, artificial intelligence, cyber-security, cloud computing, and what not! According to the recent developer survey, it is seen that Python is currently the second most loved programming language after JavaScript and will easily shoot up in the coming years. Demand for Python developers has significantly risen, especially in the past few months, and therefore learning Python could get you some really good career options.


How Artificial Intelligence Impacts Business Data Accuracy

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Data accuracy is the most crucial part of the decision making in any business. An error that occurred in the process may cause you enough damages to crash you down. This is the core reason for the birth of data entry services or data processing services where businesses ask help to digitize and manage their data. Accurate data is a major component in the success of any firm, and no one is going to reject this fact. Artificial intelligence and automation are used currently to ensure that man-made mistakes are negligible and hence the accuracy is high in the database.


What We Still Need to Learn about AI in Marketing -- and Beyond

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CURT NICKISCH: Welcome to the HBR IdeaCast from Harvard Business Review. A growing number of companies are turning to artificial intelligence to solve some of their most vexing problems. The promise of AI is that it can go through vast amounts of data and help people make better decisions. And one area where companies often search for profitable use cases for the technology is in marketing. It's harder than it looks. Data scientists at one consumer goods company recently used AI to improve the accuracy of the sales forecasting system. While they did get the system working better overall, it actually got worse at forecasting high margin products. And so the new, improved system actually lost money. Today's guest says that many leaders lean too heavily on AI and marketing without first thinking through how to interact with it.


Basic Probability Concepts for Data Science

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Probability is one of the most common terminologies, not only in mathematics but also in the real world. We use the word probability frequently. About seven years ago, I was in my secondary level of education and got introduced to the term probability as a topic of mathematics. At that time, I had solved so many mathematical problems regarding probability. Unfortunately, it did not seem interesting to me.


Trail Heads to Pathways

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The amount of input being generated for the Internet is making an adversarial network of all the minds available to it. Generative adversarial networking individual intelligences is the legacy of freely communicating new concepts built by mental media connections that billions of independent cognitive creators have to each other because of the Internet. The concept of GAN training a neural network is a trivial attempt to comprehend how creativity can be applied to Artificial Intelligence. But this has only led to a recognition that a digitized data absorption of information gleaned from the Internet, as a resource, has natural response functions of the human brain speeding past GPT-3's ability to anticipate directions it's possible for Artificial Intelligence to take. An interconnection of minds is actually recognized by Artificial Intelligence as more meaningful to it than the value of its applications.


How to Safeguard Humanity in a Context of Excessive Automation? - MedicalExpo e-Magazine

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Jean-Michel Besnier is a French philosopher who teaches at Sorbonne University in Paris. His research focuses on the philosophical and ethical impact of science and technology on individual and collective representations and imagination. We met with him to talk about the consequences of the explosion of robotics and artificial intelligence (AI) in the healthcare sector, especially since the beginning of the Covid-19 pandemic. MedicalExpo e-magazine: Can you give us your definition of artificial intelligence? Jean-Michel Besnier: I have the same definition that everyone has. I am more attentive to the conceptual extension of the notion of artificial intelligence, which at the beginning referred to something rather simple, that is to say the implementation of devices capable of solving problems in an automatic or algorithmic way.


5G technology and networks (speed, use cases, rollout)

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Do you want to know more about 5G technology? On this Q&A page, you'll discover key facts about 5G: Let's see how 5G technology is about to change the world. The next generation of telecom networks (fifth generation or 5G) has started hitting the market end of 2018 and will continue to expand worldwide. Beyond speed improvement, the technology is expected to unleash a massive 5G IoT (Internet of Things) ecosystem where networks can serve communication needs for billions of connected devices, with the right trade-offs between speed, latency, and cost. This makes sense if you think about what 5G has to offer.


The Future of AI Technology: List of Jobs Where AI Will Take Over

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Artificial intelligence is already pervasive in our digital life, from cell phones to chatbots. The popularity of AI is growing, thanks in part to the vast amounts of data that machines can collect about our interests, purchases, and activities on a daily basis. Artificial intelligence researchers utilise all of this information to teach machines how to understand and predict whatever we want or don't want. Let's take a look at where AI is headed in the future. In the future, you could relax on your couch and order a personalised movie with your favourite virtual actors.