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Schaeffler prepares the way for digitalization - Automotive World

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In the coming years, the automotive and industrial supplier, Schaeffler, wants to recruit up to 600 experts across the world to work on digital solutions for tomorrow s mobility. The planned new positions are part of a digitalization offensive the company started last year. A central pillar of the strategy is the development of intelligent products. At CES 2017, Schaeffler is showing how visions of automated driving, electrification and networking can be turned into reality. Automobiles are part of the Internet of Things where machines share data with each other to provide better solutions for people.


The Technologies We're Most Fired Up to Watch in 2017

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Each year is filled with unforeseen surprises--advances we thought were years away, unexpected technology applications (like AI used for mental healthcare), and unlikely startups reimagining entire markets. These breakthroughs keep Singularity Hub's team of tech-enthusiasts on our toes around the clock. Though we can't forecast like famous futurist Ray Kurzweil, many of us have a favorite technology or two that we constantly track. Moving into the new year, these are some of the technologies we'll be eagerly watching in 2017 and beyond. "AI really made headlines this year.


How to Get Started as a Developer in AI

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The promise of artificial intelligence has captured our cultural imagination since at least the 1950s--inspiring computer scientists to create new and increasingly complex technologies, while also building excitement about the future among regular everyday consumers. What if we could explore the bottom of the ocean without taking any physical risks? While our understanding of AI--and what's possible--has changed over the the past few decades, we have reason to believe that the age of artificial intelligence may finally be here. So, as a developer, what can you do to get started? While there are a lot of different ways to think about AI and a lot of different techniques to approach it, the key to machine intelligence is that it must be able to sense, reason, and act, then adapt based on experience.


The Amazing Ways Volvo Uses Big Data, Machine Learning and Predictive Analytics

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Cars are increasingly generating more and more data as they become ever more connected and empowered by smart, Internet of Things technology. The need to capitalize on this data is forcing auto manufacturers to rethink their data strategies. Thanks to modern telemetry, vehicles have been gathering and transmitting data on how they are used for several decades. But the real explosion in data volume is down to customer data available from the applications and services available to today's motorists. The generally accepted definition of a "connected car" is a vehicle which can access online information and use it to assist in the maintenance and operation of the vehicle, as well as enhance the comfort and convenience of drivers and passengers.


CES 2017: Continental Showcases the Building Blocks for Future Digital Mobility

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From advanced driver assistance systems and security solutions to concepts for cleaner drives and holistic connectivity, the list of pioneering products from Continental is expanding as the automotive industry continues its rapid shift towards software and mobility services. To demonstrate its interpretation of the digitalization of the automotive world, the international technology company will be showcasing a collection of products and services at CES 2017 on January 5 - 8 in Las Vegas. "The entire automotive industry is undergoing a revolution and we at Continental are playing an active role in shaping it. On the basis of our solid expertise in systems integration and our years of experience in the field of vehicle connectivity, we are constantly adapting our products in line with the latest market trends," said Helmut Matschi, member of the Executive Board at Continental and head of the Interior Division. "For example, we are developing the building blocks of new mobility solutions for our customers and helping to shape the mobility of tomorrow together.


Mercedes-Benz

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Already in the 1960s researchers expected a major breakthrough in the development and application of artificial intelligence, but the human world still proved too complex for digital computers. However, due to the triumph of the internet, the mass of data that has become available with this and the huge increase in computing power of today's computers, artificial intelligence is now entering people's lives and also offers big opportunities and potential for the future of the automobile. 'Artificial intelligence is a key future topic for Mercedes-Benz, in-car and beyond, such as in the fields of mobility services or in development and production', says Anke Kleinschmit, Head of Daimler Group Research. 'Artificial intelligence has ceased to be science fiction and the progress in autonomous driving is an impressive proof of this. Likewise, AI already assists the development phase and production by providing intuitive access to global knowledge and knowhow - Always tailored to the individual needs, experiences and knowledge of the employee.


Smart Cities to Spur Autonomous Vehicle Growth - Inside Unmanned Systems

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In the next five years, experts say that autonomous vehicles will be entrenched in smart cities' infrastructure to include mass transit, traffic lights, other vehicles, gas stations, homes and just about anything that requires connectivity. "Connected and autonomous vehicles will play a significant role in the Smart Cities of the future. These cities will need ways to ease congestion, enable more efficient transportation, and reduce pollution," said Scott Frank, Airbiquity vice president of marketing. "Connected and autonomous vehicles will serve this purpose by enabling new transportation and ownership models that take vehicles off the street and curb, like ride sharing, and their environmental benefit will be further strengthened with continued penetration of hybrid and electric drivetrains." Mass transit in smart cities will help spur autonomous vehicle's growth, but it will all be about cost savings, said Bob Bilbruck, CEO of B2 Group.


How Uber Pre-Packages Machine Learning 'as a service' Across the Business

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Uber has a core team providing pre-packaged machine learning algorithms'as-a-service' to its team of mobile app developers, map experts and autonomous driving teams. Head of machine learning at Uber, Danny Lange has been busy bringing to Uber a similar structure to one he built during his time at infrastructure-as-a-service (IaaS) provider Amazon Web Services (AWS). There he managed their internal machine learning platform and helped launch Amazon Machine Learning for AWS. Speaking to Computerworld UK, Lange said: "We are going to make every part of our business smarter and provide better user experiences. I run the team that offers that as an infrastructure and we have three core areas: drivers and riders taking trips, improving maps for drivers and self driving vehicles."


New IoT App Makes Drivers Safer

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Transportation has become one of the most frequently highlighted areas where the internet of things can improve our lives. Specifically, a lot of people are excited about the IoT's potential to further the progress toward entire networks of self-driving cars. We hear a lot about the tech companies that are involved in building self-driving cars, but it's the IoT that will actually allow these vehicles to operate. In fact, CNET quoted one IoT expert just last year as saying that because of the expanding IoT, self-driving cars will rule the roads by 2030. On a much smaller scale, there are also some niche applications of the IoT that are designed to fix specific problems on the road.


The Road Ahead For AI in Cars EE Times

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In the autonomous car, AI will advance machine vision systems, while it will also migrate in sensor fusion electronic control units (ECU). In a phone interview with EE Times, Luca De Ambroggi, principal analyst, automotive semiconductors at IHS told us, "AI is viewed as a key enabler for real autonomous vehicles. EE Times asked the IHS analyst to break down automotive AI, including its advancements, applications inside vehicles, and the hardware available to process AI algorithms. EE Times: What hardware is best suited to implement AI applications [for autonomous cars] today?