Autonomous trucking company TuSimple Inc., which gained momentum with hundreds of millions of dollars in financing from Chinese investors and U.S. freight-hauling companies, has filed paperwork to go public and plans to join the U.S. stock market as early as next month, according to people familiar with the matter. The company, which has offices in San Diego and China, has filed confidentially for an IPO and plans to make that filing public in early March and will list its shares for trading a few weeks later, the people said. That schedule is subject to change and market conditions could alter TuSimple's plans. Morgan Stanley is the lead banker on the IPO, the people said. TuSimple said it raised $215 million in a 2019 financing round that valued it at $1.2 billion.
Self-driving car startup Cruise has received more than $2 billion in a new round of investment from Microsoft, General Motors, Honda, and institutional investors, according to a joint statement by Cruise, its owner GM, and Microsoft on Tuesday. The investment will bring the valuation of Cruise to $30 billion and make Microsoft an official partner. Per Tuesday's announcement: "To unlock the potential of cloud computing for self-driving vehicles, Cruise will leverage Azure, Microsoft's cloud and edge computing platform, to commercialize its unique autonomous vehicle solutions at scale. Microsoft, as Cruise's preferred cloud provider, will also tap into Cruise's deep industry expertise [emphasis mine] to enhance its customer-driven product innovation and serve transportation companies across the globe [emphasis mine] through continued investment in Azure." So, Cruise will get the much-needed funds to conduct research and (possibly discounted) access to Microsoft's cloud computing resources and move closer toward its goal of launching a purpose-built self-driving car.
Self-driving cars, lifelike robots, and autonomous delivery drones are the sexy, headline-grabbing face of the digital transformation that we see all around us today. None of these would be possible, though, without data – the oil of the fourth industrial revolution – and the analytic technology we've built to allow us to interpret and understand it. Big Data is a term that's come to be used to describe the technology and practice of working with data that's not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who've turned a vision into reality. The term Big Data itself may not be as ubiquitous as it was a few years ago, and that's purely because many of the concepts it embodies have been thoroughly embedded into the world around us.
For decades, artificial intelligence has been depicted as a sinister force in science fiction. Think of HAL-9000, the main antagonist in Arthur C. Clarke's Space Odyssey series. But while applications of AI and machine learning are indeed sophisticated and carry the potential to be dangerous, my own view is that over the course of this decade, the most frequent encounters people are going to have with these neural technologies will seem both ordinary and positive. But there is one important area of algorithmic use that will require real work. I am thinking here of areas in which prototypes already exist: AI-powered activities that are likely to become normal by the end of this decade: Conversational Commerce, Home Technical Support, and Autonomous Vehicles. However, a fourth one, Institutional Decision Making, has few satisfactory prototypes at this time and so will be harder to fix.
By removing the most common cause of traffic accidents – the human driver – autonomous vehicles are expected to reduce traffic accidents and fatalities. However, they may pose a completely different type of risk to drivers, passengers and pedestrians. Autonomous vehicles use artificial intelligence systems, which employ machine-learning techniques to collect, analyse and transfer data, in order to make decisions that in conventional cars are taken by humans. These systems, like all IT systems, are vulnerable to attacks that could compromise the proper functioning of the vehicle. A new report by ENISA and JRC sheds light on the cybersecurity risks linked to the uptake of AI in autonomous vehicles, and provides recommendations to mitigate them.
We're all familiar with Siri, Echo, Google Maps and Translate – as well as IBM – using artificial intelligence, or AI, to answer questions, find locations, help us make sense of foreign languages, and predict the weather respectively. But AI is getting smarter, which of course, is exactly what it's designed to do. "Deep learning" means the software gets better at guessing as time goes by. If you haven't taken a ride in a recent model by Tesla you might be a tad surprised. A large "dashboard screen" shows any and all relevant journey information and the entire car is connected to your phone ecosystem.
Motional did not say how many cars had participated in the Las Vegas tests, but said in its statement that "multiple" autonomous vehicles had been used on routes that included public roads and closed courses. During the tests, the vehicles sensed and responded to human-driven vehicles, cyclists and pedestrians, the company said. Some tests were completed with a safety operator in the car; others were completed without one.
Back in 2018, Elon Musk's SpaceX put the first car in space. A flurry of press releases suggest that the (surely simpler?) race to put cars -- and carmakers -- into the cloud is far from over. Last week, Volkswagen Group jumped into Microsoft's Azure cloud to "accelerate the development of automated driving." But the company is also a fan of Amazon Web Services (AWS) and previously announced a relationship with Azure back in 2018. Earlier this month, Ford picked Google as its preferred (but not only) cloud.
When Hyundai Motor Group's new chairman Chung Eui-sun took over last fall, he outlined a bold road map for a future where flying vehicles and robots make up as much business as typical gas-guzzling cars. A few months later, he would get a big opportunity to reshape the company along his stated design: a potential deal with Apple Inc. to build driverless cars. Investors cheered a promising union between Apple, the world's most valuable company, and a new Hyundai with Mr. Chung at the helm. Groomed his entire life to run the auto empire, Mr. Chung, the 50-year-old grandson of Hyundai's founder, has shirked convention, down to often changing the color on his company car--occasionally opting for gold or navy blue--instead of keeping the standard-issue black. He earned his M.B.A. in San Francisco during the 1990s dot-com boom and has become one of the auto industry's most outspoken technologists.
TL;DR: The Ultimate Artificial Intelligence Scientist Certification Bundle is on sale for £25.32 as of Feb. 15, saving you 95% on list price. Coders hold great power in today's job market. But you know who also does? Many of today's most exciting technologies have artificial intelligence to thank. Think personalised Netflix queues, self-driving cars, and this app that blurs out the faces of protestors.