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AI Defining Transportation's Future at GTC Japan NVIDIA Blog

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Whether they drive themselves or improve the safety of their driver, tomorrow's vehicles will be defined by software. However, it won't be written by developers but by processing data. To prepare for that future, the transportation industry is integrating AI car computers into cars, trucks and shuttles and training them using deep learning in the data center. A benefit of such a software-defined system is that it's capable of handling a wide range of automated driving -- from Level 2 to Level 5. Speaking in Tokyo at the last stop on NVIDIA's seven-city GPU Technology Conference world tour, NVIDIA founder and CEO Jensen Huang demonstrated how the NVIDIA DRIVE platform provides this scalable architecture for autonomous driving. "The future is surely a software defined car," said Huang.


Google Opened An Ai Research Center In Beijing

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Google has officially opened an artificial intelligence (AI) center in Beijing, the capital of China. The country is home to some of the most renowned thinkers in the field of AI, so it makes sense that one of the largest tech companies in the world would want to set up shop where much of the action is. In a blog post, Fei-Fei Li, Google's chief scientist for AI and machine learning, explained "Chinese authors contributed 43 percent of all content in the top 100 AI journals in 2015--and when the Association for the Advancement of AI discovered that their annual meeting overlapped with Chinese New Year this year, they rescheduled." This shows just how valuable China is to the AI community. Google's China team will be headed by Li, who came to Google after serving as the director of Stanford University's Artificial Intelligence Lab.


4 industries you probably didn't realize could be impacted by net neutrality

Mashable

With a historic net neutrality vote set to take place tomorrow, people across the United States are rightly concerned about the future of the internet. Visions of price-tiered online spaces dancing in their heads, constituents all over the country are reaching out to their elected officials in a likely doomed effort to forestall what many see as the inevitable destruction of our mostly level digital playing field. But tomorrow's vote is about more than whether Comcast can charge you extra for streaming movies on Netflix. Just as the internet has seeped into many unexpected facets of our lives, abandoning net neutrality could have unexpected consequences in places you might not expect. If Elon Musk is correct, driverless cars could soon be everywhere.


Toyota, Panasonic strike battery deal in threat to Tesla

USATODAY

Japanese car maker Toyota unveils a new humanoid robot that mirrors the movements of its remote operator, as Stuart McDill reports. Toyota CEO Akio Toyoda spoke at the company's earnings press conference in Tokyo on May 10. (Photo: Toyota Motor Corporation) Toyota reached a deal to explore a new battery partnership with Panasonic in a move that threatens to encroach on Tesla's territory, heightening the ongoing rivalry between the two automakers. Toyota and Panasonic said Wednesday that they are launching a "feasibility study" to investigate the technological potential of batteries that use prismatic cells, which are grouped together in pouches to power electric cars. The deal places Panasonic in the unusual position of straddling the technological and strategic divide between Toyota and Tesla. Panasonic already has a major partnership with Tesla to jointly manufacture a competing battery technology that relies on different batteries relying on cylindrical cells.


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One of the biggest potential pitfalls for developers of autonomous vehicles is psychological: Will most people trust the cars enough to ride in them? It might not be easy to win people over, but it's possible--if a Boston startup's recent tests are any indication. On Tuesday, NuTonomy co-founder and president Karl Iagnemma shared early reactions from people who have ridden in cars controlled by his company's software. "The feedback has been really interesting, and I would say overwhelmingly positive," Iagnemma said at a press briefing, during which NuTonomy and its parent company, Aptiv (NYSE: APTV), announced plans for a new Boston office focused on autonomous vehicles and other mobility technologies. "We've found," Iagnemma continued, "that once people get into one of these cars, typically there's a little bit of maybe nervousness or apprehension because it is a little surprising to see that wheel turn by itself for the first time.


Hackers are the real obstacle for self-driving vehicles

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Before autonomous trucks and taxis hit the road, manufacturers will need to solve problems far more complex than collision avoidance and navigation (see "10 Breakthrough Technologies 2017: Self-Driving Trucks"). These vehicles will have to anticipate and defend against a full spectrum of malicious attackers wielding both traditional cyberattacks and a new generation of attacks based on so-called adversarial machine learning (see "AI Fight Club Could Help Save Us from a Future of Super-Smart Cyberattacks"). As consensus grows that autonomous vehicles are just a few years away from being deployed in cities as robotic taxis, and on highways to ease the mind-numbing boredom of long-haul trucking, this risk of attack has been largely missing from the breathless coverage. It reminds me of numerous articles promoting e-mail in the early 1990s, before the newfound world of electronic communications was awash in unwanted spam. Back then, the promise of machine learning was seen as a solution to the world's spam problems.


Artificial Intelligence and Supercomputers to Help Alleviate Urban Traffic Problems

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Look above the traffic light at a busy intersection in your city and you will probably see a camera. These devices may have been installed to monitor traffic conditions and provide visuals in the case of a collision. But can they do more? Can they help planners optimize traffic flow or identify sites that are most likely to have accidents? And can they do so without requiring individuals to slog through hours of footage?


Can self-driving cars even honk their own horns?

Mashable

Autonomous vehicles (AVs) will likely change the way we get around forever, but the AI that controls them might not be able to tell other cars on the road when they're driving like assholes. Case in point: The City of Las Vegas and AAA's self-driving shuttle, one of the most advanced public autonomous trials in the U.S., was hit by a semi-truck within hours of its maiden trip last month. The Navya Arma bus was stuck between a car behind it and the slowly advancing truck, which backed its way into the the shuttle. The shuttle behaved exactly as it was designed to in the situation, according to a AAA rep -- but it didn't move or, more importantly for the truck driver who might not have seen the vehicle behind it, honk a horn to make its presence known. One of the most essential tools for interpersonal communication between drivers wasn't even in the AI's protocol, which made us wonder: Can self-driving cars even beep?


Apple supplier Foxconn wants self-driving worker shuttles

USATODAY

See how self-driving cars prepare for the real world inside a private testing facility owned by Google's autonomous car company, Waymo. The Navya passenger shuttle is among myriad autonomous vehicles worldwide in various stages of development. And at an event Nov. 17 and 18 on the University of Wisconsin Madison College of Engineering campus, visitors will have the opportunity to check it out. The Taiwan-based electronic manufacturer's plans to use driverless vehicles to move thousands of workers a day at its 22 million-square-foot campus about 30 miles south of Milwaukee could pave new ground for the technology, which promises to reshape transportation in this country. More than a dozen states are scrambling to get ready for self-driving cars, and while major companies from Google to General Motors are testing such cars, few are in use yet.


Artificial intelligence and supercomputers to help alleviate urban traffic problems

#artificialintelligence

Look above the traffic light at a busy intersection in your city and you will probably see a camera. These devices may have been installed to monitor traffic conditions and provide visuals in the case of a collision. But can they do more? Can they help planners optimize traffic flow or identify sites that are most likely to have accidents? And can they do so without requiring individuals to slog through hours of footage?