We May Have Just Uncovered a Serious Problem With How AI "See"


People with certain visual impairments aren't allowed to drive, for fairly obvious reasons. Now, a study from the University of Washington (UW) has shown that artificial intelligences (AI) aren't immune to vision problems when operating motor vehicles either. The researchers have determined that machine learning models can be prone to a kind of physical-world attack that impedes their ability to process images. Concretely, AI can have problems reading defaced street signs. For their study, the researchers focused on two potential types of physical attacks.

Harnessing data from driverless cars to improve transportation


Self-driving cars were once thought of as a far-off, and maybe even impossible, concept, but they're here now. At the end of November, General Motors announced its plan to launch a fleet of driverless cars -- without backup drivers -- across several major U.S. cities, beginning in 2019. In doing so, the auto industry signified that it's prepared to lead a dramatic shift in how both humans and commercial goods move from place to place. Of course, powering this initiative is data -- and likely exabytes of it. Driverless vehicles depend on data for everything from communicating their position on the road, to calculating speed and braking distances, to recognizing traffic signals and upcoming hazards in their path.

China is preparing for a trillion-dollar autonomous-driving revolution


Chinese internet company LeEco Holdings Ltd unveils its internet electric battery driverless concept car'LeSEE' during a launch event in Beijing. Chinese manufacturers and internet giants are in hot pursuit of their US counterparts in the race to design driverless cars, but the route to market is still littered with potholes. China has begun preparing programs and cities for an autonomous driving revolution expected to generate $1 trillion in revenue globally, the South China Morning Post reported. Nearly 300 Chinese cities and regions, including Xinjiang and Nanjing, and have already introduced "smart-city" projects controlled by artificial intelligence technology to enhance daily life, SCMP said. Smart cities use cloud-based technology to integrate across several industries, including transportation, health care and public security, according to government-owned China Daily.

Future of AI revenue: Top 10 uses cases for next decade


Artificial intelligence already impacts many aspects of our daily lives at work, at home, and as we move about. Over the next decade, analyst firm Tractica predicts that annual Global AI enterprise software revenue will grow from $644 million in 2016 to nearly $39 billion by 2025, and services related revenue should reach almost $150 billion. These functional areas are applicable to many use cases, industries, and generate benefits for both businesses and individuals. Here are the top ten use cases which will reap financial rewards for AI technology product and service companies, and a broad spectrum of benefits for everyone else. Self driving cars and other autonomous vehicles are consistently called the "next revolution" in transportation, technology, and some say in civilization in general.

Musk Says Tesla Is Building Its Own Chip for Autopilot


Rockets, electric cars, solar panels, batteries--whirlwind industrialist Elon Musk has set about reinventing one after another. Thursday, he added another ambitious project to the list: Future Tesla vehicles will run their self-driving AI software on a chip designed by the automaker itself. "We are developing customized AI hardware chips," Musk told a room of AI experts from companies such as Alphabet and Uber on the sidelines of the world's leading AI conference. Musk claimed that the chips' processing power would help Tesla's Autopilot automated-driving function save more lives, more quickly, by hastening the day it can drive at least 10 times more safely than a human. "We get there faster if we have dedicated AI hardware," he said.

Volvo reduces autonomous driving tests to find the right sensors


Volvo is adjusting the timeline on its ambitious Drive Me autonomous program until it can find the right sensors. "The development in sensor performance and processor capabilities is going so much faster than we expected in 2013," program director Marcus Rothoff recently told Automotive News Europe. "Because advancements are being made at such a rapid pace, we want to make this decision as late as possible." In addition to the sensors that enable Level 4 autonomy (the car can drive itself, but a steering wheel and pedals are still present), the Swedish automaker is having issues with the wiring. Rothoff said that laying copper has been "a really huge" challenge that was unanticipated at the project's outset in 2013.

AI Defining Transportation's Future at GTC Japan NVIDIA Blog


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


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


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.



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.