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This New Algorithm Writes Perfect "Artspeak"

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If you've ever read an artist statement or museum wall text hoping to develop a deeper understanding of the work, but come away more confused, you're not the only one. Istanbul-based artist Selçuk Artut has developed a tool to explore this familiar art world phenomenon. The code powers his latest artwork, Variable, in which a sculpture is accompanied by an automatically generated, wall-mounted electronic description à la art-world press release. "There are all of these art pieces where people are trying to give a lot of meaning with the use of extensive texts," rather than leave them open for interpretation, Artut tells me. And "there are plenty of examples of artists who are not coming up with clever ideas [in art] but who are really good at writing beautiful texts."


Decoding Machine Learning Methods

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Machine Learning, thinking systems, expert systems, knowledge engineering, decision systems, neural networks - all synonymous loosely woven words in the evolving fabric of Artificial Intelligence. Of these Machine Learning (ML) and Artificial Intelligence (AI) are often debated and used interchangeably. In very abstract terms, ML is a structured approach for deriving meaningful predictions/insights from both structured and unstructured data. ML methods employ complex algorithms that enable analytics based on data, history and patterns. The field of data science continues to scale new heights enabled by the exponential growth in computing power over the last decade.


Will AI photo recognition change motor claims?

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Start-up-developed technology is offering'touchless' claims handling to the motor insurance industry through the use of AI-powered photo recognition. Tractable, which already provides the first-wave of its technology to UK insurer Ageas, has today announced the roll out of a new development to its AI system, which will see it able to provide a full estimate repair cost using photos in minutes. The company, which was founded in 2015 and has attracted more than $10 million (£7.5 million) in funding, says that its new'AI Estimating' technology will save time, cut costs, and transform the claims experience on more than 60% of motor claims. The system will streamline the claims process, from First Notification of Loss (FNOL) to an insurer-approved estimate, without the need for human intervention. "Today when you have an accident and you call your insurance company, the process to manage your claim is extremely slow, its expensive and its very manual," Adrien Cohen, chief commercial officer at Tractable, told Insurance Business.


Is Virtual Banking the Future? Microsoft Enterprise

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Capital and investments still hinge on financial institutions that are well known to Wall Street. In this digital age it is the adjacent industries who are adopting advanced technologies proactively. Outside the banking walls the world is becoming digitally intertwined. The fast flow of widespread information is transforming the way goods and services get transacted. Could this be the future of banking?


Can Cameras and Machines Recognize Lying in Your Face?

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The code has been copied to your clipboard. One of the most popular tools on Apple's new iPhone X is its facial recognition system. This latest iPhone gives users the power to open the device just by looking at it. The smartphone has performed well in tests set up to trick it into opening for an unapproved user. The same kind of facial recognition system is also used for other purposes.


Artificial intelligence may add more jobs than it will eliminate

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It was just a few weeks ago that Sophia, an artificial intelligence (AI)-powered humanoid robot developed by Hong Kong-based Hanson Robotics, was given honorary citizenship by Saudi Arabia. While AI is making huge inroads into our day-to-day life, was this something expected to happen so soon? Meanwhile, even though the popular perception is that AI is only going to be a job killer, reports also say that 2020 onwards, AI will start adding more jobs than it would take away. According a report by research firm Gartner, Inc., AI will create 2.3 million new jobs while eliminating only 1.8 million jobs in 2020. At the recently-held Wall Street Journal CEO Council meeting in Washington DC, I was fortunate enough to listen to two eminent futurists and authors--Martin Ford and Jerry Kaplan--who are known for their pioneering work in the field of AI.


Germany's Cyber Valley aims to become leading AI hub

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Germany's Max Planck Society creates Nobel Prize winners. Most recently, in 2014, physicist Stefan Hell, one of its scholars, was recognised for a breakthrough in microscope technology, allowing much smaller structures -- less than 200 nanometres -- to be seen. Commercialising this kind of highbrow abstract research, however, has been a different matter. While the alumni of California's Stanford University have filled Silicon Valley with start-ups, Germany's research institutes have not created clusters on the same scale. A new tech hub -- Cyber Valley -- in southern Germany between Stuttgart and Tübingen, is attempting to create new kinds of collaboration between academics and businesses.


The missing part of the Machine Learning revolution

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There's no doubt that we're entering the age of AI, with Machine Learning touching almost everything we're involved in on a day-to-day basis. Spurred on by step innovations in data storage and computing power, Neural Nets are back from the 70's with a bang. Medicine, security, customer service, fraud detection, you name it -- there are well funded companies applying Machine Learning to improve and augment it. Heck, you might have even found this post through Medium's Machine Learning-based recommender systems. Deep Learning, for whatever reason, seems to work really well for a number of problems with immediate impact.


Watson Customer Engagement – Embrace the Power of the Force - Watson Customer Engagement

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November 15, 2017 Written by: Kareem Yusuf, Ph.D As a huge Star Wars fan, I have always wanted to have a set of supernatural powers, such as the ability to sense impending attacks; influence the thoughts of others, known as the "Jedi mind trick;" and even see the future. In essence, the Force – meaning the wisdom, expertise and ability to know exactly what will happen next and what I should do in the moment. Of course, there is only one problem with all this--our current reality. Wilson predicted, the world will be run by synthesizers, people able to put together the right information at the right time and think critically about it to make important choices wisely. And, that is exactly what IBM Watson is doing today.


The Good, Bad & Ugly of TensorFlow

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We've been using TensorFlow in daily research and engineering since it was released almost six months ago. We've learned a lot of things along the way. Because there are many subjective articles on TensorFlow and not enough helpful documentation, I've sprinkled in examples, tutorials, docs, and code snippets wherever possible. Community engagement is the most important thing. When it comes to machine learning, it is easy to focus on the tech (features, capabilities, benchmarks, etc).