Tim Leake is SVP and Creative, Marketing & Innovation for RPA, a Santa Monica-based agency all about People First. So, it's somewhat fitting that Leake would have an opinion on the emergence of Artificial Intelligence in the creative community. I put a cheeky little post up on social media last week, reading: "Artificial Intelligence will eliminate a lot of jobs in the coming years. But if you're worried, remember AI sucks at being creative." Nearly immediately, the Internet told me I was wrong.

Book has clear details of what to look at from spark application and configuration point of view to fine tune spark application execution in production environment. In this latest technology world, this books adds a lot of value to resources working in various shops gearing up their applications towards spark framework.

This is my first discussion on the forum so please forgive me any faux pas but I have something really exciting to share! At work I had some free time and Azure credits so I decided to give their ML lab a whirl. I took a very broad and difficult question, although one that should have had a finite answer, and used some SCADA data to train a model that would be able to predict unplanned downtime in a well far enough ahead as to be able to send out an engineer to apply preventative maintenance. Common idea, I felt, and enough data to work something out. I won't bore you with the details (unless you ask, of course!) but something astonishing and totally unexpected came out of the analysis.

LAS VEGAS--On a raised floor in a ballroom at the Paris Hotel, seven competitors stood silently. These combatants had fought since 9:00am, and nearly 4 million in prize money loomed over all the proceedings. Now some 10 hours later, their final rounds were being accompanied by all the play-by-play and color commentary you'd expect from an episode of American Ninja Warrior. Yet, no one in the competition showed signs of nerves. To observers, this all likely came across as odd--especially because the competitors weren't hackers, they were identical racks of high-performance computing and network gear.

At Lyft, engineers who build machine learning products are part of the Data Science group. Lyft's Data Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields.

"On August 29, 2027, at 2:14 PM EST, Skynet, the largest and the most successful financial corporation in the world, conducted an IPO on NASDAQ. As the only human left on staff, the corporate lawyer had to ring the bell. All management positions in the corporation are now held by robots." Does this sound like the trailer of a new Terminator film? In fact, it's only a matter of time before this becomes a reality.

Sam Kronick has a bunch of rocks arrayed in front of him on a raised desk in his Oakland studio. He's an artist and his plan is to sketch the rocks, but not with pen and paper. He and his artistic partner Tara Shi are going to do a 3D scan of them so that an artificial intelligence program can map their contours, learn to recognize rocks and then start generating its own craggy depictions. The project is deceptively simple: trying to get artificial intelligence to make nature art. Kronick and Shi are using a neural net, a computer program loosely modeled on biological neural systems like the human brain.

There are plenty of add-on boards and HATs for the Raspberry Pi that add functionality to the computer, from simple things like LEDs or motor controllers, to sensor suites and enterprise security. The MATRIX Creator is something a little different, though, adding a huge number of functions in a bid to open up development with the Raspberry Pi to IoT and beyond. "The MATRIX Creator is an all-inclusive hardware device that connects to the GPIO pins on the Raspberry Pi and provides a means for any developer around the world to start making machine learning, computer vision, and Internet of Things applications within minutes," explains Rodolfo Saccoman, CEO of AdMobilize, the company behind the MATRIX. "We see it as being a building block for the democratisation of IoT and AI. Just as how the iPhone created an all-in-one hardware device that allowed developers to unleash their creativity and build amazing apps, which in turn revolutionised the world, we see the MATRIX Creator doing the same thing for a multitude of industries such as smart homes, intelligent buildings, robotics, security, industrial control, smart retail, drones, custom maker projects, and many more."

What does the future of the internet of things (IoT) look like? Answering that question is top of mind for Jenny Fielding, IoT managing director at Techstars global accelerator. In this role, Fielding invests in and mentors IoT startups through the organization's annual New York–based boot camp program. Its third such program kicked off a few weeks ago and focuses on the industrial side of IoT. Fielding believes the key to success there--and in all markets--is artificial intelligence and machine learning that enable action.

Professor Stephen Hawking recently unveiled an Artificial Intelligence Research Center. The Center is set up at Cambridge University just this week. The Center will focus mainly on Artificial Intelligence but will look into "Terminator" style army droids - like in the movie. The Leverhulme Centre for the Future of Intelligence is looking into the development of Artificial Intelligence for the benefit of society. And that also include military applications, according to Inverse.