FULLY BOOKED: "A world without work: technology, automation and how…

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New technologies have always provoked panic about workers being replaced by machines. In the past, such fears have been misplaced, and many economists maintain that they remain so today. Yet in A World Without Work, Daniel Susskind shows why this time really is different. Advances in artificial intelligence mean that all kinds of jobs are increasingly at risk. Susskind will argue that machines no longer need to reason like us in order to outperform us.


Google's AI language model Reformer can process the entirety of novels

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Whether it's language, music, speech, or video, sequential data isn't easy for AI and machine learning models to comprehend -- particularly when it depends on extensive surrounding context. For instance, if a person or an object disappears from view in a video only to reappear much later, many algorithms will forget how it looked. Researchers at Google set out to solve this with Transformer, an architecture that extended to thousand of words, dramatically improving performance in tasks like song composition, image synthesis, sentence-by-sentence text translation, and document summarization. But Transformer isn't perfect by any stretch -- extending it to larger contexts makes apparent its limitations. Applications that use large windows have memory requirements ranging from gigabytes to terabytes in size, meaning models can only ingest a few paragraphs of text or generate short pieces of music.


Google's AI language model Reformer can process the entirety of novels

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Whether it's language, music, speech, or video, sequential data isn't easy for AI and machine learning models to comprehend -- particularly when it depends on extensive surrounding context. For instance, if a person or an object disappears from view in a video only to reappear much later, many algorithms will forget how it looked. Researchers at Google set out to solve this with Transformer, an architecture that extended to thousand of words, dramatically improving performance in tasks like song composition, image synthesis, sentence-by-sentence text translation, and document summarization. But Transformer isn't perfect by any stretch -- extending it to larger contexts makes apparent its limitations. Applications that use large windows have memory requirements ranging from gigabytes to terabytes in size, meaning models can only ingest a few paragraphs of text or generate short pieces of music.


Deception detection on the Bag-of-lies dataset

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Lie detection has been a topic of interest since the beginning of the 20th century, and since then a lot of different methods have been used to try to achieve this, such as changes in inspiration-expiration ratio, increases in systolic blood pressure, dilatation of the pupil size, heart rate, etc. Usually, when people think about lie detection, the most common method that comes to mind is the polygraph. This method combines various techniques to detect autonomic reactions which include changes in body functions that are not easily controlled by the conscious mind. However, still requires a large amount of training which is achieved by control questions where the answers are known to later compare how the subject reacts. Polygraph offers an accuracy of around 70% in the general population⁴, a number which is greater than trained humans can achieve by just looking at the person, however, this doesn't mean that this method is infallible since people have found ways to cheat the system by just training or by using drugs to suppress these reactions. In general, these methods usually have not offered as good results as to be used in court in most countries.


What to expect at the Health Evolution Executive Briefing: Artificial Intelligence and Machine Learning Health Evolution

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Tom Sullivan brings more than two decades in editing and journalism experience to Health Evolution. Sullivan most recently served as Editor-in-Chief at HIMSS, leading Healthcare IT News, Health Finance, MobiHealthNews. Prior to HIMSS Media, Sullivan was News Editor of IDG's InfoWorld, directing a dozen reporters' coverage for the weekly print publication and daily website.


Meet Sophia, World's First AI Humanoid Robot Tony Robbins

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Sophia travels to Palm Beach, Florida, to meet with Tony Robbins during our Date With Destiny event -- and Tony did not hold back on asking some tough questions! Here are some highlights from their conversation where they talked about everything from how Sophia's makers have influenced and shaped her A.I., to their shared commitment to helping humans experience a better quality of life! What do you think about the future of A.I.? Let us know in the comments below! Tony Robbins is a #1 New York Times best-selling author, entrepreneur, and philanthropist. For more than 37 years, millions of people have enjoyed the warmth, humor and dynamic presentation of Mr. Robbins' corporate and personal development events.


Intro to Machine Learning with TensorFlow Nanodegree Program

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The field of machine learning continues to boast incredible job growth, salaries, and skill sets that can be used in many different industries. Google utilizes this technology in their Cloud product to allow startups to build machine learning models that work on data of any size, while GE utilizes IoT to help detect and prevent anomalies and crashes in their products. These are just a snapshot of the numerous applications of machine learning in the market today that display the potential for an exponential amount of professional expansion. Currently, just in the US alone, there are over 50,000 open roles for machine learning professionals, so now is the time to develop machine learning expertise! In LinkedIn's 2020 Emerging Jobs report, AI Specialist, a role that includes machine learning, deep learning, TensorFlow, and Python as key skills, boasts 74% annual growth.


AI is on the rise

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NK Computer Solutions has been serving the DFW area since 2001, providing IT Support such as technical helpdesk support, computer support, and consulting to small and medium-sized businesses. It's always been our goal to provide enterprise-level IT practices and solutions to the small business sector, with small business prices. Our experience has allowed us to build and develop the infrastructure needed to keep our prices affordable and our clients up and running.


3 Things to Consider Before Implementing Machine Learning or AI

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Today's cutting-edge research on cloud solutions for manufacturers highlights how artificial intelligence and machine learning have the potential to prevent downtime, improve safety, and reduce material waste. That's exciting for industry leaders, who are always looking for ways to refine these core efforts. At AWS's re:Invent conference in November, AWS CEO Andy Jassy dedicated a considerable portion of his keynote to machine learning, which hasn't happened before. His message was clear: businesses need to start developing an understanding of machine learning now, because this technology will be critical in the future. Even though machine learning is on the horizon, current ML and AI applications aren't the simplest or even the best-suited solution to the problems manufacturers face today.


Top 5 AI trends for 2020 - KDnuggets

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The idea that computers or software programs can both learn and make decisions is particularly significant and something that we should be aware of, as their processes are growing exponentially over time. Because of these two skills, AI systems can now accomplish many of the tasks that were once reserved for humans. Over the last few years, the growth of AI technology has been staggering. AI-based systems are now being used to help humans benefit from significant improvements and increased efficiency in nearly every area of life. As the development of AI continues to grow, it will change the ways we live and work more and more.