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"A new online study in Scientific Reports finds that drivers of these vehicles are assigned most of the blame for crashes which, the team argues, they can't reasonably avoid. This work is important because, as Niek Beckers at Delft University of Technology and colleagues point out, public opinion on this matter could shape future vehicle design and also legislation."

"Everything around us will be altered by autonomous vehicles-our roads, our warehouses and even our definition of what a car can be. Say goodbye to four wheels and a running board; the cars of the future will barely resemble the vehicles choking our cities today."

""Self-driving vehicle technology will make America's roadways safer and less congested," Strickland said in a release. "The best path for this innovation is to have one clear set of federal standards, and the Coalition will work with policymakers to find the right solutions that will facilitate the deployment of self-driving vehicles.""

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"publicly announced that the company had "overestimated the arrival of autonomous vehicles" and that the vehicles, when they did arrive, their "applications will be narrow, what we call geo-fenced, because the problem is so complex.""

""Although manufacturers of new vehicles have built-in safeguards to prevent drivers from taking advantage of the new safety systems in vehicles, those systems are just that - supplemental safety systems," RCMP superintendent Gary Graham said in the statement. "They are not self-driving systems. They still come with the responsibility of driving.""

"The researchers suggest guidelines for efficient regulations, such that AVs can cooperate and significantly enhance traffic flow even when fewer than 5% of the vehicles on the road are autonomous, as seen in the accompanying image. In their article, the researchers describe how AVs should behave on a freeway in order to self-organize into groups that split the traffic flow into controllable clusters. It was observed that it takes less than two minutes to achieve self-organized high-speed, greener and safer traffic flow when starting from congested traffic."

"Green Light uses machine learning systems to comb through Maps data to calculate the amount of traffic congestion present at a given light, as well as the average wait times of vehicles stopped there. That information is then used to train AI models that can autonomously optimize the traffic timing at that intersection, reducing idle times as well as the amount of braking and accelerating vehicles have to do there. It's all part of Google's goal to help its partners collectively reduce their carbon emissions by a gigaton by 2030."

"More specifically: delivery robots. What you see here is DRU (Domino's Robotic Unit), an autonomous delivery vehicle built in collaboration with Australian technology startup Marathon Targets that Domino's says is the first of its kind. It's filled with thousands of dollars worth of military robotics tech, but its covert mission has been to deliver fresh pizza to the residents of Queensland."

""The ethics commission has done pioneering work and has developed the world's first guidelines for automated driving. We are now implementing these guidelines." The ethics rules address a classic thought experiment: the "trolley problem.""

"In fact the $60bn multinational has just been scooped by Nutonomy, a small MIT spin-out whose electric self-driving cabs have already started picking up real customers in a Singapore business park. Initially, riders will use Nutonomy's own app to summon hail a Mitsubishi i-Miev or a Renault Zoe, ramping up to a dozen vehicles in the coming months."

"Toyota's Lexus rolled out an update for some of its cars, including RX350, which broke the vehicles' navigation and entertainment systems leaving them stuck in a boot loop. Lexus confirmed that the software updates are routinely pushed out via satellite to cars and that a faulty application may be to blame."

"Hacking into software and then demanding a ransom to release it - what's known as ransomware - is not new. Finnish security expert Mikko Hypponen fully expects it to become a reality as self-driving or "autonomous" cars start to become more commonplace."

"The first known death caused by a self-driving car was disclosed by Tesla Motors on Thursday evening, a development that is sure to cause consumers to second-guess the trust they put in the booming autonomous vehicle industry. "

"Three Google employees have been injured in a crash involving one of the company's self-driving cars. Google revealed the accident happened on 1 July when its car was rear-ended while stationary on a public road in Mountain View, California. It is the first accident involving one of Google's fleet of self-driving vehicles to have resulted in injury."

"In theory, when the conventional financial system is experiencing turbulence, alternative currencies such as bitcoin should have their time to shine. The decentralised nature of the currency means that it's impossible for any central bank to impose controls on it, while the pseudonymity at its core could make it the perfect vehicle to get money into and out of the country while avoiding legal reprisals."

"Google's self-driving cars have driven over a million miles in autonomous mode. But when Google brought its testing program to Austin, Texas, one of the vehicles met its match: a cyclist doing a track stand - when a rider shifts very slightly forward and back to maintain balance while keeping feet on the pedals." This is very surprising that this self-driven car would detect a person not even moving and still keep stopped, it will be interesting to see if and how they fix this problem.

"Google reveals driverless car prototype First of 100 test vehicles is unveiled with no steering wheel or pedals, two seats and a top speed of 25mph"

"Affectiva is running a program that pays drivers to help train its emotion-recognition system. The company sends drivers a kit including cameras and other sensors to place within their vehicles. These record a person's facial expressions, gestures, and tone of voice on the road. That data is then labeled by trained specialists for a range of emotions, and fed into deep neural networks."

"MIT researcher's at CSAIL have developed a lane-changing algorithm for self-driving cars. the algorithm allows for aggressive lane changes much like the kind only real drivers would be capable of.   it works by computing 'buffer zones' around autonomous vehicles and reassessing them on the fly. MIT uses a mathematically efficient approach which calculates new buffer zones if the default buffer zones lead to performance that's far worse than a human's driver."