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""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."

"Now, the number of combinations of these columns grows exponentially with the number of columns. So if you have many, many columns-and we do in modern databases-you'll get up into millions and millions of attributes for each person. Now, if I start allowing myself to look at all of the combinations of these features-if you live in Beijing, and you ride bike to work, and you work in a certain job, and are a certain age-what's the probability you will have a certain disease or you will like my advertisement? Now I'm getting combinations of millions of attributes, and the number of such combinations is exponential; it gets to be the size of the number of atoms in the universe."

"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. "

"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."

"The Bank of England has previously highlighted the impact of trading algorithms. "Some markets appear to have become more fragile, as evidenced by episodes of short-term volatility and illiquidity over the past couple of years," Threadneedle Street said last December, warning of a move towards "fast, electronic trading." "

"Facebook announced late Friday that it had eliminated jobs in its trending module, the part of its news division where staff curated popular news for Facebook users. Over the weekend, the fully automated Facebook trending module pushed out a false story about Fox News host Megyn Kelly, a controversial piece about a comedian's four-letter word attack on rightwing pundit Ann Coulter"

"Facebook is mired in a series of controversies about the curation of its news feed, from its broadcasting live killings, to editing out an iconic photo of the Vietnam war, to accusations of political bias. It recently tried to smooth the process out by firing its human editors … only to find the news feed degenerated into a mass of fake and controversial news stories."

"However, there is some concern about how accurate these new procedures will be. Apparently the facial recognition technology doesn't recognize all people will the same accuracy. White women and black people aren't as easily recognized as white men, meaning there could be some mismatching of identities. Some are also concerned that this is crossing the line in terms of passenger privacy."

"People have made the anecdotal observation that their Apple products become much slower right before the release of a new model. Now, a Harvard University study has done what any person with Google Trends could do, and pointed out that Google searches for "iPhone slow" spiked multiple times, just before the release of a new iPhone each time."

"The software reportedly could set off a "Uighur alarm" when it pinpointed someone from the minority group. Uighurs are a largely Muslim group, and have been subjected to extensive persecution by the hands of the Chinese government."

"Recent studies concluded that the smoothness of a tablet screen leads to an alteration of handwriting features, whereby the impact on graphomotor execution varies according to the level of the writer's handwriting skills"