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. And states are being advised to use a light regulatory hand. At a driverless-car test track in Ann Arbor, Mich., Transportation Secretary Elaine Chao painted a near future of greater safety, fewer deaths, higher productivity and more time spent with loved ones as robots increasingly take over the tasks of driving and commuters are freed for other activities. She unveiled a document titled "Vision for Safety 2.0" and delivered a speech that was strong on vision and light on regulation. "More than 35,000 people perish every year in vehicle crashes," she said -- 94% of those through driver error.

US DOT outlines safe transition to self-driving cars


US legislation for self-driving cars first made its way to the House of Representatives this past July. The bipartisan SELF DRIVE Act passed the House vote on September the 6th, and will now need to go through the Senate. 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. There are driver assist systems already in place that can help you swerve before you even realize you need to, of course.

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. You need big, bulky vessels, and the human crews are either faced with the tedium of an uneventful trip (if they're lucky) or threats that a lone ship is ill-equipped to face. 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. The ship will use a combination of artificial intelligence and sensors to get around instead of a crew, with modular systems letting it change roles between missions (for example, a drone launching pad). This should not only let it operate for long stretches (up to 100 days) without subjecting humans to risk or sheer boredom, but allows for a smaller design that's cheaper to run.

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. AI and machine learning (ML) are "certainly a couple of categories that we're pretty excited about" on both a medium- and long-term basis, Box CFO Dylan Smith said. Box has teamed with Google, IBM and Microsoft on various initiatives. The "next wave" of that is "really going to be around all things" AI and ML, Smith told the conference. He added: "We're always looking for ways -- to the extent that it makes sense for our customers and for our economics -- to leverage these public cloud providers for more and more capabilities over time." Asked which company that Box partners with has the most advanced AI and ML story, he said: "It's hard to say.

Machine Learning: An Overview


Unless you're quite out of touch with digital trends, you'd struggle to not have heard of the phrase Machine Learning (ML). 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!). But what exactly is Machine Learning? Simply put, machine learning is a type of artificial intelligence, or AI. Software applications are traditionally programmed by a human.

A Robot Designed To Help Kids With Autism Learn Social Cues


Hoffman, an assistant professor at Cornell University who studies human-robot interaction, partnered with Google to develop the robot to watch YouTube clips alongside children with autism. These children often have trouble understanding how to react emotionally to social situations. 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. The project is still in its infancy, and the team hasn't shared many details. But the idea is a touchstone in Hoffman's 14-year quest to build softer, gentler robots–ones we might even pass down to our children and grandchildren one day.

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.

AI could help reduce bike accidents


I started biking on a regular basis last summer. On almost every business trip, I've arranged to use a bike as a way to stay in shape or to commute around a city. And I've taken countless bike-camping trips, most of them in my home state of Minnesota. Last year, during a visit to the Mountain View area in California, I witnessed a bike accident for the first time. It didn't look overly serious -- but then again, getting hit by a car when you're on a bike is always serious, even if you can jump up and brush yourself off.