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AI in self-driving cars - NVIDIA and Bosch collaboration

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Intelligent machines powered by artificial intelligence (AI) computers that can learn, reason and interact with people and the surrounding world are no longer science fiction. Thanks to a new computing model called deep learning using powerful graphics processing units (GPUs), AI is transforming industries from consumer cloud services to healthcare to factories and cities. Many of these are in place already, providing new services to millions around the world. However, no industry is poised for such a significant change as the $10 trillion transportation industry. The automotive market is next, and the opportunity to develop advanced self-driving vehicle holds the promise to the world of dramatically safer driving and new mobility services.


2017: The year AI bots learn to react to irrational human behaviour?

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Artificial intelligence (AI) had a fair bit of air time last year – from tech imitating art in the recreation of Rembrandt's work, to robots outsmarting humans in technical games. Unsurprisingly, some of the biggest names in technology are working hard to establish what AI can do for them, with Facebook, Amazon Google, IBM and Microsoft setting up a partnership to discover just that. So as we settle into 2017, what can we expect from this fascinating field of technology in the next 12 months? The fun projects and headline grabbing tests have done a great job of raising the profile of artificial intelligence, but this year we're going to start seeing some more interesting movement in real-world applications – with gaming, driverless cars and smart cities standing out as three industries that are ready to be boosted by developments in AI. AI in these industries has tended to focus on limited decision trees, which follow'if X then Y' principals.


Infusing Machines with Intelligence - Part 3

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As seen in Part 1 and Part 2 of this series, it is hard not to feel excited about machine learning. First, it empowers machines to teach themselves the tasks that humans can perform but find difficult to "teach" a computer via conventional coding (e.g. Secondly, it enables computers to perform tasks that far exceed human abilities, like analysing terabytes of data at lightning speed to unearth hidden patterns and make sense of them. But it is also hard not to feel some unease about the prospect of self-improving computer systems with increasingly human-like and super-human aptitudes, whether it is the threat of mass unemployment, the erosion of privacy, or simply the inability to understand, validate and trust the technologies that will increasingly impact our lives. These problems that artificial intelligence (AI) is throwing back at us are complex and multifaceted, and to tackle them requires concerted endeavours by our technologists, entrepreneurs, lawmakers and thinkers from all fields and walks of life.


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.


How deep learning will transform the future of the auto industry

ZDNet

One of CES' major trends over the last few years has been the connected car -- the concept of adding Internet connectivity and networking to our vehicles. Stealing the spotlight this year was Nvidia, which launched the Drive PX 2 -- an in-car artificial intelligence system. PX 2 is designed for automakers exploring autonomous driving and includes 360-degree situational awareness, deep learning and the processing power of 150 MacBook Pros. Deep learning -- an advanced type of artificial intelligence (AI) -- is driving significant change for autonomous vehicles and for the automotive and transportation industries in general, according to a new report from advisory firm KPMG. The study predicts that by 2030 a new mobility services segment linked to products and services related to autonomy, mobility, and connectivity will be worth more than $1 trillion worldwide.


Boosting Construction Industry With Artificial Intelligence – AI.Business

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Artificial intelligence will be responsible for the next industrial revolution and will change the world in ways we can't predict now. Perhaps you might read our previous articles about influence of AI in agriculture and farming. Construction is an excellent example of industry that will be affected the most from a replacement with automation. AI could save construction businesses money if it becomes smart enough to determine price variants in companies spending for construction materials or hiring engineering companies. We created a list of real use cases that will shape construction industry in near future.