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"computer programs can accelerate discovery in the sciences faster than scientists can, if the computer is trained to behave like one"

"London-born Stanford student Joshua Browder created DoNotPay initially to help people appeal against fines for unpaid parking tickets. Dubbed "the world's first robot lawyer", Browder later programmed it to deal with a wider range of legal issues, such as claiming for delayed flights and trains and payment protection insurance (PPI)."

"A robot that can decide whether or not to inflict pain has been built by roboticist and artist Alexander Reben from the University of Berkeley, California. The basic machine is capable of pricking a finger but is programmed not to do so every time it can."

"In one survey, 76% of people agreed that a driverless car should sacrifice its passenger rather than plough into and kill 10 pedestrians. They agreed, too, that it was moral for AVs to be programmed in this way: it minimised deaths the cars caused. And the view held even when people were asked to imagine themselves or a family member travelling in the car."

"No, really, it's possible that Microsoft's Excel is the most dangerous software on the planet. Yes, more dangerous than rogue code running a nuclear power plant, than the Stuxnet that was deliberately sent off to sabotage Iran's nuclear program, worse, even, than whatever rent in the fabric of space time led to the invention of Lolcats. Really, that serious."

"* 1.8m users targeted by UK agency in six-month period alone * Optic Nerve program collected Yahoo webcam images in bulk * Yahoo: 'A whole new level of violation of our users' privacy'"

"But what will robot cars be programmed to do when there's lots of them on the roads, and they're networked with one another? We know what we as individuals would like. My car should take as its Prime Directive: "Prevent my passengers from coming to harm." But when the cars are networked, their Prime Directive well might be: "Minimize the amount of harm to humans overall." "

"After getting caught breaking its own laws with a mass surveillance program, the French government has introduced legislation that mirrors the NSA's rules, giving it the power to spy on all foreigners -- and any French people who happen to be swept up in the dragnet."

"XKEYSCORE is a secret NSA program that indexes data slurped up from covert fiber-taps, hacked systems, and smartphones, including "full take" data and metadata. "

"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.

"The agency has invested nearly $80 million to build a computer that could break "nearly every kind of encryption," according to a Washington Post report published online Thursday. Based on documents provided by former NSA contractor Edward Snowden, the Post reports the NSA is racing to build a "cryptologically useful quantum computer" research program called "Penetrating Hard Targets.""

"A newly released set of slides from the Snowden leaks reveals that the NSA is harvesting millions of facial images from the Web for use in facial recognition algorithms through a program called "Identity Intelligence." James Risen and Laura Poitras's NYT piece shows that the NSA is linking these facial images with other biometrics, identity data, and "behavioral" data including "travel, financial, behaviors, social network." "

"The NSA's AURORAGOLD program -- revealed in newly released Snowden docs -- used plundered internal emails to compromise nearly every mobile carrier in the world, and show that the agency had planned to introduce vulnerabilities into future improvements into mobile security. "

"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

"AI is already here. This isn't some future, theoretical technology we are working on. AI machines are already among us. Take for example Microsoft's recent security robot demonstration. Called the K5, these autonomous machines stand 5 feet tall, weigh 300 pounds, and are equipped with HD cameras, sensors, alarms, Wi-Fi and - you guessed it - artificial intelligence. These machines have been programmed to recognize if something is out of place, like an injured employee or a potential trespasser. And as technology improves, the K5 will become more capable of recognizing even smaller discrepancies than humans can."

"Rutgers University's new program also uses a "behavior observation tool," which monitors student browser activity throughout an active session. While this feature is intended to prevent students from using the Internet to cheat on exams, the power that this grants instructors is extremely invasive. If a student accidentally leaves a personal or embarrassing website in their browser during an online course, a ProctorTrack instructor might stumble upon their activity."

"Google stunned the world by defeating Go legend Lee Se-dol yesterday, and it wasn't a fluke - AlphaGo, the AI program developed by Google's DeepMind unit, has just won the second game of a five-game Go match being held in Seoul, South Korea. AlphaGo prevailed in a gripping battle that saw Lee resign after hanging on in the final period of byo-yomi ("second-reading" in Japanese) overtime, which gave him fewer than 60 seconds to carry out each move."

"To date, activity trackers have been used medically only to encourage or monitor patient activity, particularly in conjunction with weight loss programs.5, 6 To our knowledge, this is the first report to use the information in an activity tracker-smartphone system to assist in specific medical decisionmaking."

"A new artificial intelligence (AI) program recreated the periodic table of elements in just a few hours. It took nearly a century of trial and error for human scientists to organize the periodic table of elements, arguably one of the greatest scientific achievements in chemistry, into its current form."

"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."