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Generative Adversary Networks: A very exciting development in Artificial Intelligence

CTOvision

Many of us have also raised concerns about the current security frameworks around Artificial Intelligence (there are none! It is particularly relevant to applications that include natural images, audio waveforms containing speech, and data that contain symbols. Where might this research lead?

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How artificial intelligence went from science fiction to science itself?

Dataconomy

The timeline of artificial intelligence takes us on a captivating journey through the evolution of this extraordinary field. It all began in the mid-20th century, when visionary pioneers delved into the concept of creating machines that could simulate human intelligence.

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On the evolutionary path of intelligent network operations

TM Forum

At the same time, we are also aware that the rapid development of the new generation of information technology provides a broad space and technical support for network operation innovation.

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TAP Accelerates Artificial Intelligence

Cloud Musings

Photo credit: Shutterstock Over the past few years, the use of artificial intelligence has expanded more rapidly than many of us could have imagined. While this may invoke fear and dread in some, these relatively new technology applications are clearly delivering real value to our global society.

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Sarcos Robotics raises $40 million to develop an exoskeleton for industrial applications

Venture Beast

Sarcos Robotics, a startup developing robots for industrial and defense applications, today nabbed $40 million in equity financing. Read More.

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Call for speakers: O’Reilly Artificial Intelligence Conference June 26–29, 2017 NYC

CTOvision

The O’Reilly AI Conference is returning to New York June 26–29, 2017 to explore the most essential and intriguing topics in intelligence engineering and applied AI. The program will cover the latest developments in tools, algorithms, and architectures, applications such as finance and robotics, novel interfaces like bots, plus much more.

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5 Principles Full Stack Developers and Solutions Architects Must Understand About Machine Learning

Social, Agile and Transformation

According to recent and separate studies from Gartner, Harvey Nash/KPMG, and O'Reilly, somewhere between 24% and 37% of organizations are at least moderately investing in machine learning and artificial intelligence. require(["mojo/.