This is for those of you who have no backup of your current iTunes library, and are replacing the computer your phone normally syncs with or are just replacing the hard drive. Any attempt to sync such content with a second computer will result in ALL iTunes content being first erased from your phone & then replaced with the content from the second computer. This is a design feature and cannot be overridden. Because you replaced your computer, or hard drive, your phone will see this as a "new" computer.

Technology company Nauto has entered into agreements with BMW i Ventures and Toyota Research Institute, as well as with Allianz Ventures, part of the leading global financial service provider and insurance company Allianz Group. Nauto developed deep learning capabilities that run both in the cloud and on retrofit devices that can be mounted in any vehicle. Nauto is already deployed into commercial passenger, logistics and delivery fleets and enables these fleets to manage vehicle and driver safety and operate more efficiently. Nauto detects driver attention, coaches drivers and warns of collisions, keeps fleet managers in touch with their drivers and helps them optimize vehicle deployment. In fact, Nauto claims, its algorithms provide 5X more risk differentiation between the best and the worst drivers.

It appeared first on the Bloomberg Terminal. Artificial intelligence software solutions will likely be the top disruptor in technology in the next decade. Software's ability to self-learn by processing data may spur consumer and enterprise applications. Companies embracing AI may get a competitive edge; ones that don't run the risk of being disrupted and phased out. AI is nascent, but the pace of innovation and disruptive potential of startups will accelerate as compute costs shrink and machine-learning algorithms advance.

When it comes to gaming, Carnegie Mellon students are usually the ones beating the computer. But this time, the computer beat the students. Carnegie Mellon University computer science students, Devendra Chaplot and Guillaume Lample, recently made an artificial intelligence (AI) agent in the video game Doom that outplays computer-generated agents and human gamers. They accomplished this by applying deep-learning techniques that taught their agent, Arnold, to manipulate the game's 3-D design. "The work is purely a result of our passion for artificial intelligence and video games," Chaplot said.

On Thursday, before President Obama had arrived, the Frontiers conference began with several sessions explaining how artificial intelligence (AI) and data science affect various levels of policy. The local and national sessions, called tracks, took place on the second floor of the Cohon Center. The panels were a who's who of academic and corporate giants in the field of AI such as Engineering Director at Uber's Advanced Technologies Center Raffi Krikorian and Corporate Vice President of Microsoft Research Jeanette Wing. The local policy track also featured municipal government officials who embody the spirit of making data "work for us" as the president often says. The National Frontiers track opened with Pennsylvania Governor Tom Wolf telling the story of innovation in Pennsylvania, beginning with William Penn's idea of freedom of conscience, winding through the founding ideas of American government born in Pennsylvania, touching on the agricultural and industrial revolutions, and finally landing on the transportation revolution which still roils on today as self driving cars become frequent sights on the streets of Pittsburgh.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

A core difference between Machine Learning and Deep Learning is in the feature selection process, which is the function by which data is chosen in creating a predictive model. In Machine Learning, domain expertise is required to code the inputs used to build a model. For example, let's say you are building a model for facial recognition. You might start by determining where the eyes, nose and mouth are located. Doing this is something we humans can do very easily; however, for a machine, it's not so simple.

I've been trying to think of a way to describe how big Machine Learning is, and I think I finally have a decent one: Because Statistics is the primary mechanism we've had for decades to learn about the world. That's what Machine Learning is (ML can be considered a subset of statistics) except its method of doing it is far more powerful. Most importantly, machine learning can…well, learn. It improves as it gets more data. With traditional Statistics you can potentially extract more (and better) data, but the model for doing the analysis itself doesn't improve.

In an effort to drive continued innovation in a handful of key areas of technology and science, President Obama hosted the White House Frontiers Conference, a one-day conference in Pittsburgh. This conference is a joint venture between the White House, the University of Pittsburgh and Carnegie Mellon University. During the conference, President Obama announced a number of new initiatives. These include funding to help in the development of smart cities, brain research, health, criminal justice, space, and climate change. Also among the initiatives announces was the release of a report titled "Preparing for the Future of Artificial Intelligence."

The desktop and smart phone revolutions were really just the beginning. From conversations with giant tech companies like Cisco, Google and Xero, you get the impression that we have only scratched the surface of what technologies like the cloud, the Internet of Things, and Artificial Intelligence have to offer. The business world has already been transformed but small businesses and entrepreneurs in Australia and around the world are about to be handed a new level of power and opportunity in the connected world. The coming decade will see leaps and bounds in what our devices can do as they connect to the enormous power of the cloud. Meanwhile, the sheer number of devices connected will explode, from around 7 billion now to upwards of 50 billion by 2020.