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5 ways artificial intelligence is driving the automobile industry

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Artificial intelligence is taking the automobile industry by storm while all the major automobile players are utilizing their resources and technology to come up with the best. The beauty of devices with artificial intelligence is that it tries to learn from sensory inputs like real sounds and imag...


3 Artificial Intelligence Stocks to Watch This Year

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It seems like nearly every technology company is pursuing some form of artificial intelligence these days. But while there are many companies hoping to benefit as this burgeoning market expands, NVIDIA Corporation (NASDAQ:NVDA), Amazon.com Here's how these companies are transforming artificial intelligence (AI) right now and why investors should consider these companies for their portfolios. Alphabet likes to have its hands in nearly every new technology trend, and AI is no exception. Specifically, the company is focusing on three key areas: AI services in the cloud, driverless cars through its Waymo subsidiary, and implementing AI into its flagship services.


A glossary of basic artificial intelligence terms and concepts

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The term "artificial intelligence" refers to a specific field of computer engineering that focuses on creating systems capable of gathering data and making decisions and/or solving problems. An example of basic AI is a computer that can take 1000 photos of cats for input, determine what makes them similar, and then find photos of cats on the internet. The meat and potatoes of AI is machine learning -- in fact it's typically acceptable to substitute the terms artificial intelligence and machine learning for one another. It uses stages of learning to give AI the ability to solve complex problems by breaking them down into levels of data.


A glossary of basic artificial intelligence terms and concepts

#artificialintelligence

The term "artificial intelligence" refers to a specific field of computer engineering that focuses on creating systems capable of gathering data and making decisions and/or solving problems. An example of basic AI is a computer that can take 1000 photos of cats for input, determine what makes them similar, and then find photos of cats on the internet. The meat and potatoes of AI is machine learning -- in fact it's typically acceptable to substitute the terms artificial intelligence and machine learning for one another. It uses stages of learning to give AI the ability to solve complex problems by breaking them down into levels of data.


Driverless cars: Tim Cook says Apple AI is applicable to more than just cars

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The firms have established a startup support programme at Volkswagen's Data Lab to provide technical and financial support for international startups developing machine learning and deep learning applications for the automotive industry. Volvo Cars, Autoliv and Zenuity will use Nvidia's AI car computing platform as the foundation for their own advanced software development. Nvidia has partnered with automotive supplier ZF and camera perception software supplier Hella to deploy AI technology on the New Car Assessment Program (NCAP) safety certification for the mass deployment of self-driving vehicles. The firms will use Nvidia's Drive AI platform to develop software for scalable modern driver assistance systems that connect their advanced imaging and radar sensor technologies to autonomous driving functionality.


Dr Nathan Griffiths: Driverless cars? How the road to the future will be driven by machine learning

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Nathan is a Reader in the Department of Computer Science at the University of Warwick, whose research into the application of machine learning for autonomous vehicles (or "driverless cars") has been supported by a Royal Society University Research Fellowship. My research uses machine learning to give insights into how objects or people interact and how patterns emerge and evolve. Machine learning algorithms will examine previous behaviours and learn from these behaviours, to then predict what will happen in the future. An accurate algorithm could then be used to inform the decisions vehicles make and predict vehicle journeys and routes.


Briefing – AI, machine learning and cars

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The mid- to long- term development focus include smart remote maintenance service, autonomous driving, smart traffic, and connectivity mobility hub, all of which will benefit from continued R&D investment in the fields of in-vehicle networks, cloud and big data analytics and connected car security technologies. The Swedish safety supplier also announced that it is forming a joint venture with Volvo Cars to develop software for autonomous driving and driver assistance systems. "In order for the system to acquire this information step-by-step, a range of sensors such as radars, cameras, and Surround View systems are needed," said Continental's ADAS business unit head Karl Haupt. Steering on Demand enables the transition between driver and automated driving control through safe, intuitive steering transitions for vehicles capable of SAE Level 3 - 5 automated driving.


A Way for Driverless Cars to See the Road and React

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When it comes to creative design, there's something to be said for just getting your ideas up and out there. New designs are rendered and posted each week in various categories: Road & Urban, Aviation & Space, Marine, Powersports and Transportation. An all-season vehicle for traversing swamps or arctic terrains, the Maskek is also an amphibious vehicle that can cross bodies of water when needed. Inspired by the Light Cycles in the sci-fi franchise "Tron," the One of the busiest research areas in artificial intelligence concerns teaching machines to truly see and comprehend their surroundings. Massively complex neural network systems are working on the issue in labs all over the planet.


Sorry, Your Next Car Will Probably Be Smarter Than You -- The Motley Fool

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NVIDIA (NASDAQ:NVDA) and Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google are two leaders in the car tech space -- and they're just getting started. Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer. Drive PX 2 is the next iteration of NVIDIA's Drive PX system, which already helps power some of world's most advanced autonomous cars. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Nvidia, and Tesla Motors.


Sorry, Your Next Car Will Probably Be Smarter Than You Fox Business

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Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer. Drive PX 2 is the next iteration of NVIDIA's Drive PX system, which already helps power some of world's most advanced autonomous cars. To do that, Google's used deep learning to make its driverless cars drive in ways that we understand. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Nvidia, and Tesla Motors.