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Teaming humans with robotic AI will remake modern manufacturing

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"Through 3D printing, fast automation, artificial intelligence, advanced IT systems," Weber said. His lab recently trained a Baxter assembly robot to understand and respond to natural language commands. Researchers from MIT's Computer Science and AI Lab (CSAIL) recently revealed their similar efforts, which they've dubbed ComText -- as in "commands in context". The current problem is that robots generally see the world at a relatively low level -- in pixels and sensor readings -- but humans see it as related concepts, connected to form reasoning and higher order thinking, Paul explained.


Drones and the Age of Automation

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Deep Learning or DL is a subfield of machine learning which makes use of artificial neural networks, a mathematical system inspired by the way neurons function in the human brain. AI is fast becoming an integral part of the drone industry by enhancing the intelligence of the drone systems with respect to flight operations, data management and most importantly traffic management. DL as already discussed earlier is an AI technique that gains knowledge through training a neural network, a computer system that's designed to process information like the human brain. It provides a complete end to end solution where it will design the optimum flight path for the drone in order to capture the most complete data for any use-case, fly the drone across this flight path and generate and analyze thorough 3D models based on the data captured.


Banking Technology Vision 2017

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Freedom to innovate THOSE THAT DO EXPECT MORE: Opportunity to develop standards that others follow Expanded opportunities for trusted partnerships 6. www.accenture.com/bankingtechvision DESIGN FOR HUMANS CUSTOMER JOURNEYS NOW RUN INSIDE AND OUTSIDE THE BANK Digital banking models, such as ecosystem platforms and channels not owned by banks, will bring consumers from outside the sphere of the bank's knowledge. WORKFORCE MARKETPLACE ON-DEMAND TALENT AS A TRUE BANKING INNOVATION Create an agile workforce to access sought-after skills, knowledge and experience as-needed for more flexible ways of working. DESIGN FOR HUMANS CUSTOMER JOURNEYS NOW RUN INSIDE AND OUTSIDE THE BANK Digital banking models, such as ecosystem platforms and channels not owned by banks, will bring consumers from outside the sphere of the bank's knowledge. WORKFORCE MARKETPLACE ON-DEMAND TALENT AS A TRUE BANKING INNOVATION Create an agile workforce to access sought-after skills, knowledge and experience as-needed for more flexible ways of working.


3 types of artificial intelligence, but only 2 are valid

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Current AI applications can be broken down into three loose categories: Transformative AI, DIY (Do It Yourself) AI, and Faux AI. Transformative AI turns data into insights and insights into instructions. While there is indeed a finite set of actions involved in driving, the data set the AI must process shifts every single time the passenger gets into the car based on road conditions, destination, route, oncoming and surrounding traffic, street lanes, street closures, proximity to neighboring vehicles, a pedestrian stepping out in front of the car, and so on. DIY AI is any artificial intelligence platform whose end goal is to make you, the user, more informed so that you can then do the remaining work yourself.


How to build IT competencies for the AI era

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Artificial intelligence (AI) companies generated an estimated $8 billion of revenue in 2016 and are on an incredible trajectory to increase that figure five times over the next three years. Enterprises are increasingly investing in artificial intelligence as a way both to drive down costs and transform customer and employee experiences. According to Accenture's Technology Vision 2017 survey of more than 5,400 IT and business executives, 79 percent agree that AI will help accelerate technology adoption throughout their organizations. While the disruptive growth of AI is a fact, the impacts to the workforce are more difficult for companies to articulate and address. What is clear is that leaders in every function must begin to take a nuanced view of the role that every type of worker – human and machine – will play in the workforce of the future.


A framework for Industry 4.0 - welcome to the next industrial revolution

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We're surrounded by more and more connected devices we're calling the Internet of Things. We can turn our heating on from our phones on the commute home. Pegs can tell us when to bring the washing in so it doesn't get wet. Cars know the hazards ahead and warn us before we get there so that we can avoid them. Many of the'things' have been manufactured within the'Industrial Internet of Things' or'Industry 4.0'.


Hottest areas in Artificial Intelligence NextBigFuture.com

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IDC sees widespread adoption of cognitive systems and artificial intelligence (AI) across a broad range of industries will drive worldwide revenues from nearly $8.0 billion in 2016 to more than $47 billion in 2020. According to a new Worldwide Semiannual Cognitive/Artificial Intelligence Systems Spending Guide from International Data Corporation (IDC), the market for cognitive/AI solutions will experience a compound annual growth rate (CAGR) of 55.1% over the 2016-2020 forecast period. "Near-term opportunities for cognitive systems are in industries such as banking, securities and investments, and manufacturing," said Jessica Goepfert, program director, Customer Insights and Analysis at IDC. "In these segments, we find a wealth of unstructured data, a desire to harness insights from this information, and an openness to innovative technologies. For instance, cognitive technologies are being used in the banking industry to detect and combat fraud – consistently a top industry pain point. Meanwhile, in manufacturing, executives cite improving product quality as a top initiative.


A Quick Artificial Intelligence Update - ODBMS.org

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Artificial Intelligence is offering the kind of revolution mankind first saw a 100 years ago with electricity, with Andrew Ng, the former Chief Scientist at Baidu claiming he can't think of an industry it won't disrupt in the next 10 years. Google's AI stands at the point where it can recognize user doodles and translate what they're trying to draw; IBM's Watson is quickly expanding its cognitive computing platform across multiple industries; Alexa can now tell you what's in the news, call you an Uber, book you a flight, and incessantly wakes me up to finish my real analysis homework every morning. With more than 35 acquisitions in 2017 and over 200 rounds of financing since 2012, the race for intelligence is picking up fast; Google itself has acquired 11 AI companies. Big Data and increased processing power, which was considered the limiting constraint handicapping the development of AI have picked up the pace in 2016, but with increased horsepower through products such as NVidia's GPUs, and Intel's AI chips, such constraints have decreased. Just in the past month, Elon Musk launched Neuralink, a venture to merge the human brain with AI, NVidia's deep-learning chips showed promise of disrupting the medicine industry, Bots were reported to be chatting in their own language and companies such as Forbes and Intel showed promising signs of boosting AI efforts.


Microsoft Bets on Artificial Intelligence to Help It Succeed Again in Travel

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With the exception of helping create Expedia, Microsoft has struggled to figure out travel. But it is hoping that artificial intelligence (AI) will be its route finally to leapfrog ahead of Google and Oracle, playing a larger role as middleman. The example illustrates the company's current approach to the travel sector. The technology giant appears to be more interested in building "middleware services" that sit between customers and travel companies. The company has a mixed past record of engaging with consumers on its own.


Microsoft Bets on Artificial Intelligence to Help It Succeed Again in Travel

#artificialintelligence

With the exception of helping create Expedia, Microsoft has struggled to figure out travel. But it is hoping that artificial intelligence (AI) will be its route finally to leapfrog ahead of Google and Oracle, playing a larger role as middleman. The example illustrates the company's current approach to the travel sector. The technology giant appears to be more interested in building "middleware services" that sit between customers and travel companies. The company has a mixed past record of engaging with consumers on its own.