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Inside Yandex self-driving car: Here's what it's like to ride on Moscow's crazy roads ZDNet

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Video: Yandex's autonomous car hits Moscow's streets. Transportation is about to get a technology-driven reboot. The details are still taking shape, but future transport systems will certainly be connected, data-driven and highly automated. With harsh winters, drivers who constantly switch lanes, traffic jams and occasional crashes, the Russian capital of Moscow provides a challenging setting for testing autonomous cars. "In Moscow, the guys behind you honk the horn even before the traffic lights turn green," says Dmitry Polishchuk, head of Yandex's driverless car project.


Inside Yandex self-driving car: Here's what it's like to ride on Moscow's crazy roads

ZDNet

Video: Yandex's autonomous car hits Moscow's streets. With harsh winters, drivers who constantly switch lanes, traffic jams and occasional crashes, the Russian capital of Moscow provides a challenging setting for testing autonomous cars. "In Moscow, the guys behind you honk the horn even before the traffic lights turn green," says Dmitry Polishchuk, head of Yandex's driverless car project. Polishchuk is taking me on a ride along Moscow's busy streets to show me how far the company's self-driving technology has evolved in the year and a half since it was officially announced. Since local legislation does not allow unmanned cars on public roads, one of his colleagues, Alex, is sitting behind the wheel hoping not to have to touch it.


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.


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


Waymo created its own driver's ed course for AI

@machinelearnbot

Waymo, a driverless car company owned by Google parent company, Alphabet, has a fleet of driverless vehicles that have logged the company millions of kilometers driven on real city streets, but the bulk of its deep learning comes from driving on virtual roads. Developers for the company are training more than 25,000 autonomous vehicles over 12 million kilometers (8 million miles) of simulated roads driven every day. The simulations involve highly complex situations including multiple lane intersections and irregular vehicle traffic. Not only are these virtual driving schools informing deep learning models for each specific vehicle, they help to create data that allows driverless cars to network together. This adds an extra layer of safety for everyone including pedestrians and human-driven cars.


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

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Autonomous cars have been a staple of science fiction for years, appearing in films like I, Robot, Demolition Man and Minority Report. Google is nearing the final stages of testing for its autonomous car programme, Tesla drivers can enjoy an'Autopilot' feature for hassle-free motorway driving, and Pittsburgh residents can hail an Uber that drives itself. But how do driverless cars work? When can we expect to try one out for ourselves? We answer all these questions, and more, below. The tech giant finally acknowledged the truth in rumours that it was building driverless technology in June, when Cook told Bloomberg that it was "a core technology that we view as very important". But he declined to give a steer on how the tech would manifest itself in Apple products. Yesterday he painted a clearer picture of its potential on a conference call following the company's quarterly results.


Mighty AI and the Human Army Using Phones to Teach AI to Drive

WIRED

As her fellow patients read dog-eared magazines or swipe through Instagram, Shari Forrest opens an app on her phone and gets busy training artificial intelligence. She writes textbooks for a living. But when the 54-year-old from suburban St. Louis needs a break or has a free moment, she logs on to Mighty AI, and whiles away her time identifying pedestrians and trash cans and other things you don't want driverless cars running into. "If I am sitting waiting for a doctor's appointment and I can make a few pennies, that's not a bad deal," she says. The work is a pleasant distraction for Forrest, but absolutely essential to the coming ages of driverless cars.


The Top 3 Tech Trends Of 2017

International Business Times

This article originally appeared on the Motley Fool. We're only halfway through 2017 and this year has already been a big one for emerging technologies. While there are lots of cool things happening in the tech industry, three specific trends are outpacing nearly everything else: self-driving cars, artificial intelligence (AI), and virtual and augmented reality (VR and AR). Some of the trends focus on digital services and software (as opposed to devices), some are already having a transformative impact on how people experience technology and how businesses sell products -- but all are likely to add massive value to their respective markets. Here are some of the key player's investors should be watching.


3 Tech Trends That Have Dominated 2017 So Far -- The Motley Fool

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We're only halfway through 2017 and this year has already been a big one for emerging technologies. While there are lots of cool things happening in the tech industry, three specific trends are outpacing nearly everything else: self-driving cars, artificial intelligence (AI), and virtual and augmented reality (VR and AR). Some of the trends focus on digital services and software (as opposed to devices), some are already having a transformative impact on how people experience technology and how businesses sell products -- but all are likely to add massive value to their respective markets. Here are some of the key player's investors should be watching. Admittedly, some of these companies are making big waves in multiple trends this year, but I'm highlighting one or two key players in each space.


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

Robohub

Over the past few weeks, we've blogged about how machine learning is transforming research, nuclear decommissioning, and astronomy. Building on our "Ask the Experts" panel discussion on driverless cars last July, how might machine learning shape the way we move through and interact with the immediate environment around us? As the last in our series of blog posts on machine learning in research, we spoke to Dr Nathan Griffiths to find out more about machine learning in transport. 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. I have always been interested in how things work and understanding the patterns we see in the world around us.