Earlier than Sep-13-2017

Teamsters Chief Fears U.S. Self-Driving Trucks May Be Unsafe, Hit Jobs

U.S. News

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.

Driverless cars on public highways? Go for it, Trump administration says

Los Angeles Times

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.

US DOT outlines safe transition to self-driving cars


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.

Rolls-Royce unveils plans for an autonomous patrol ship


Patrol ships are necessary to protect coastlines and fleets, but they're far from ideal right now. Rolls-Royce might have a better way: it just unveiled plans for an autonomous patrol ship that would eliminate many of these headaches, and would even be relatively eco-friendly. It wouldn't have the ability to fight back if attacked, but it would use a "full electric" 1.5MW propulsion system that could help it stay undetected if it's tracking a submarine. Crewed ships would only need to enter the fray if it turns out to be a serious enemy who's undeterred by the mere presence of a scout.

Box, Cognizant CFOs: Early Days or Not, AI Presents Many Opportunities - Media & Entertainment Services Alliance


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.

Machine Learning: An Overview


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.

A Robot Designed To Help Kids With Autism Learn Social Cues


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?"

Python vs R – Who Is Really Ahead in Data Science, Machine Learning?


We examine Google Trends, job trends, and more and note that while Python has only a small advantage among current Data Science and Machine Learning related jobs, this advantage is likely to increase in the future.

Tailoring Conversations with Artificial Intelligence


As humans, we have an infinite capacity to adjust our conversations in real time based on others' turns in the conversation. Digital marketing needs to act this way, too, and technology like AI can help.

AI could help reduce bike accidents


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.