WASHINGTON (Reuters) - The head of the 1.4-million member International Brotherhood of Teamsters union is mounting an aggressive effort to convince Congress to reject new rules to speed the deployment of self-driving trucks, warning they could lead to the loss of hundreds of thousands of jobs and reduce road safety.
Under those guidelines, automakers and technology companies will be asked to voluntarily submit safety assessments to the U.S. Department of Transportation, but they don't have to do it. Last week, the House of Representatives passed a bill that eventually would let automakers each put as many as even if some features don't meet current safety standards set by the National Highway Traffic Safety Administration. The new standards replace guidelines published by the Obama administration in September 2016 that asked automakers to voluntarily submit reports on a 15-point "safety assessment." The new "Vision for Safety" advises state officials to remain technology-neutral and not favor traditional automakers over technology companies; to remove regulatory barriers that keep driverless cars off the roads; and to make the federal Transportation Department's voluntary recommendations into law.
Odds are that we'll see autonomous cars on the road sooner rather than later, thanks to this bill and new voluntary guidance The US Department of Transportation and the National Highway Traffic Safety Administration (NHTSA). The governmental agencies released new guidelines on Tuesday that provide federal guidance for automated driving systems to both individual states and businesses. "The safe deployment of automated vehicle technologies means we can look forward to a future with fewer traffic fatalities and increased mobility for all Americans." Called "A Vision for Safety 2.0," the voluntary guidelines build on the previous policy by focusing on the next three levels of automated driving systems (ADSs): conditional assistance, high assistance, and fully automated systems.
Box and Cognizant see abundant opportunities in artificial intelligence (AI), but it's still early days for the technology, according to comments made by both companies' CFOs at the Deutsche Bank Technology Conference in Las Vegas Sept. 12. The "next wave" of that is "really going to be around all things" AI and ML, Smith told the conference. I think it's still pretty early and although all of these partners are making some pretty major investments, certainly from an image recognition standpoint" Google is "leading the pack there," while "Microsoft is doing some pretty impressive things from a video recognition standpoint." Although AI and automation "are not new terms, the evolution [of them] is fairly new" and how clients are thinking about them for their businesses is "still quite early days," Cognizant CFO Karen McLoughlin told the conference earlier in the day.
Using machine learning, Hoffman and the team at Google are working on designing ways for Blossom to act during different videos to help autistic kids learn key social cues. As robots become increasingly common in our offices, public spaces, and homes, designers have added everything from friendly faces to fur to make the devices more approachable. "In the end, we love warm, organic materials, things made of wood and natural materials like wool or fabric," Hoffman says. "Why aren't social robots also made from these materials?"
Articles are shared online daily, software vendors and service providers have begun to offer Machine Learning as-a-service, thereby making it easier to integrate ML into your existing software products (no PhD required!). Unsupervised machine learning is the machine learning task of inferring a function to describe hidden structure from "unlabeled" data (a classification or categorization is not included in the observations). One example of this may be the machine attempts to organize data to describe its structure, thereby making it easier for humans to organize, and consequently derive meaning. Machine learning is behind all of this, it uses YOUR historical big data and other data sets such as similar consumers' past behavior to drive consumer recommendations.
When I found out a company called Tome Software was going to start a trial that uses AI to reduce bike accidents, I took note. The company will start by testing real cyclists using Trek bikes at the University of Michigan's TechLab at Mcity. It plans to focus on what Jake Sigal, the CEO for Tome Software, told me is the most common type of accident -- a car hitting a bike from the side or behind. For me, it's an interesting project because it means reducing bike accidents by warning both the cars and those on bikes in the most dangerous intersections.
Apple's iOS 11 update will support Business Chat, a chat capability on Apple iMessage for companies such as retailers to use to communicate more directly with their customers, Apple announced at its Worldwide Developers Conference on Friday. During the live-streamed announcement, the company demonstrated how consumers could use Business Chat either from Apple's Safari browser, Siri virtual assistant or other Apple applications to talk via text message directly with a business that supports the feature. The Vibes Mobile Consumer Report, for example, found that relatively few customers actually have engaged with chatbots, and companies like mode.ai have told Retail Dive that early-generation chatbots have lacked the artificial intelligence and rich feature set that would make them truly useful to customers, something Facebook's Chat Extensions was in part designed to address. Nuance is one of the Apple partners that will help bring Business Chat to retailers.The capability can be used through Nuance's Nina AI-based virtual assistant and the Nuance Digital Customer Engagement Platform.