You don't have to agree with Elon Musk's apocalyptic fears of artificial intelligence to be concerned that, in the rush to apply the technology in the real world, some algorithms could inadvertently cause harm. This type of self-learning software powers Uber's self-driving cars, helps Facebook identify people in social-media posts, and let's Amazon's Alexa understand your questions. Now DeepMind, the London-based AI company owned by Alphabet Inc., has developed a simple test to check if these new algorithms are safe.
"Most current advanced driver assistance systems based on radar and cameras are not capable of accurately detecting and classifying objects – such as cars, pedestrians or bicycles – at a level required for autonomous driving," said Sachin Lawande, president and CEO of Visteon, a leading global cockpit electronics supplier. "We need to achieve virtually 100 percent accuracy for autonomous driving, which will require innovative solutions based on deep machine learning technology. Our Silicon Valley team, with its focus on machine learning software development, will be a critical part of our autonomous driving technology initiative." Visteon's recently opened facility in the heart of Silicon Valley will house a team of engineers specializing in artificial intelligence and machine learning. The center is located close to the West Coast offices of various automakers and tech companies, as well as Stanford University and the University of California, Berkeley – two of the leading universities for artificial intelligence and deep learning in the U.S. In addition to leading Visteon's artificial intelligence efforts, the Silicon Valley office will play a key role in delivering control systems, localization and vision processing – interpreting live camera data and converting it to information required for autonomous driving.
Over the last two years, academic researchers have identified various methods that they can transmit hidden commands that are undetectable by the human ear to Apple's Siri, Amazon's Alexa, and Google's Assistant. According to a new report from The New York Times, scientific researchers have been able "to secretly activate the artificial intelligence systems on smartphones and smart speakers, making them dial phone numbers or open websites." This could, perhaps, allow cybercriminals to unlock smart-home doors, control a Tesla car via the App, access users' online bank accounts, load malicious browser-based cryptocurrency mining websites, and or access all sort of personal information. In 2017, Statista projected around 223 million people in the U.S. would be using a smartphone device, which accounts for roughly 84 percent of all mobile users. Of these 223 million smartphones users, around 108 million Americans are using the Android Operating System, and some 90 million are using Apple's iOS (operating system).
NVIDIA has already forged self-driving alliances with big car manufacturers like Audi, Toyota and Volvo, but its latest is a particularly big deal -- at least if you live in China. The chip designer has unveiled a partnership with Chinese internet giant Baidu that will see the two work together to boost the use of AI. Most notably, NVIDIA's Drive PX tech will find its way into Baidu's Apollo self-driving car platform and autonomous vehicles from "major" Chinese firms. The automotive pact is important enough that Baidu chief Robin Li traveled to the event in one of his company's driverless rides -- even though it was against the law. The pact will also make NVIDIA's deep learning Volta GPUs available to Baidu Cloud customers, optimize Baidu's deep learning platform (PaddlePaddle) for those Volta processors and use Baidu's conversational AI, DuerOS, for voice commands on NVIDIA's Shield TV.
Nvidia's new partner in bringing AI-powered self-driving tech to the masses definitely has the experience needed to go truly mass-market – it's Bosch, leading tier one auto industry supplier. Bosch will build an AI supercomputer designed for use in vehicles using Nvidia tech, which means Nvidia now has a partner that works as a tier one supplier to all major car maker in the world. It's only the latest partner for Nvidia's AI-powered self-driving car tech, which also include automakers like Audi and Mercedes-Benz, but it's the one that could potentially have the most impact in terms of giving Nvidia reach and influence across the industry. This is the kind of strategic tie-up that lets both partners do what they do best – Nvidia can focus on developing the core AI supercomputing tech, and Bosch can provide relationships and sales operations that offer true scale and reach. Nvidia's deep learning model does not depend on specific rules being coded for each individual situation; instead, it provides the systems with a number of examples from human behavior, and then the AI can determine on its own what to do in specific scenarios.