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"Software is writing news stories with increasing frequency. In a recent example, an LA Times writer-bot wrote and posted a snippet about an earthquake three minutes after the event. The LA Times claims they were first to publish anything on the quake, and outside the USGS, they probably were."

"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"

""The technology is also useful in cases where the driver loses consciousness and has let go of the steering wheel. If such an event occurs, the car will independently pull over. Temporary control of the car is the second wave of driver perception-enhancement - while we are still on the first wave, which culminates with the car's ability to break on its own in case of emergency. Therefore, the next phase is automated driving, the instant you let go of the wheel.""

"Other solutions exist but they sometimes provide minimal time to react - sensors installed on the exterior of the car can tell the driver when to break only when he's a few seconds away from crashing- a distance which most of the time is enough to reduce the impact of the crash but not to prevent it."

"An Israeli company is trying to prove that augmented reality is not only the premise of video games, it can also save lives. iOnRoad is a new mobile application, developed by Picitup, that is "helping smartphone users make smarter driving decisions" by using a phone's camera and GPS."

"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

"The two titans leading the pack are Google and Microsoft. The first battle? A new domain in artificial intelligence called "Deep Learning.""

"The 120-centimetre-tall android already works as a shop assistant at SoftBank mobile phone outlets in Tokyo - a move its chief executive, Masayoshi Son, described as a "baby step on our dream to make a robot that can understand a person's feelings, and then autonomously take action"."

"What do you think? Will robotic super-intelligence lead us towards salvation or poverty?"

"No arguments there, but the term, which stands for "artificial intelligence", has a more storied history than Spielberg and Kubrick's 2001 film. The concept of artificial intelligence goes back to the birth of computing: in 1950, just 14 years after defining the concept of a general-purpose computer, Alan Turing asked "Can machines think?""

"There's a Cambrian explosion in robotics, with species of all sizes, shapes and modes of mobility crawling out of the muck of the lab and onto the terra firma of the marketplace, about to enter your home and your shopping experience."

"Prof Stephen Hawking, one of Britain's pre-eminent scientists, has said that efforts to create thinking machines pose a threat to our very existence. He told the BBC:"The development of full artificial intelligence could spell the end of the human race.""

"But you might not end up reassured. Though it promises robot carers for an ageing population, it also forecasts huge numbers of jobs being wiped out: up to 35% of all workers in the UK and 47% of those in the US, including white-collar jobs, seeing their livelihoods taken away by machines."

"The really significant thing about AlphaGo is that it (and its creators) cannot explain its moves. And yet it plays a very difficult game expertly. So it's displaying a capability eerily similar to what we call intuition - "knowledge obtained without conscious reasoning". Up to now, we have regarded that as an exclusively human prerogative. It's what Newton was on about when he wrote "Hypotheses non fingo" in the second edition of his Principia: "I don't make hypotheses," he's saying, "I just know.""

"One of Google's self-driving cars crashed into a bus in California last month. There were no injuries. It is not the first time one of Google's famed self-driving cars has been involved in a crash, but it may be the first time it has caused one. "

"Lyft announced Monday that it has partnered with automotive giant General Motors to create a network of self-driving cars that will one day in the distant (or not-too-distant future) be able to pick up and drop off passengers at the touch of a button on our phones - and likely put many of its drivers out of work."

"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."

"And that means that there's now a financial incentive for going after just about anything. While the payoff of going after businesses' networks used to depend on the long play-working deep into the network, finding and packaging data, smuggling it back out-ransomware attacks don't require that level of sophistication today. It's now much easier to convert hacks into cash."

"FOLLOW US Twitter / Facebook / RSS Machine learning image classifiers use context clues to help understand the contents of a room, for example, if they manage to identify a dining-room table with a high degree of confidence, that can help resolve ambiguity about other objects nearby, identifying them as chairs. The downside of this powerful approach is that it means machine learning classifiers can be confounded by confusing, out-of-context elements in a scene, as is demonstrated in The Elephant in the Room, a paper from a trio of Toronto-based computer science academics."