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"The model takes a two-pronged approach. First, it focuses on trends present in the region, looking at geostatistics and historical data from Prodes, the annual government monitoring system for deforestation in the Amazon. Understanding what has happened can help make predictions more precise. When already deforested areas are recent, this indicates gangs are operating in the area, so there's a higher risk that nearby forest will soon be wiped out. Second, it looks at variables that put the brakes on deforestation - land protected by Indigenous and quilombola (descendent of rebel slaves) communities, and areas with bodies of water, or other terrain that doesn't lend itself to agricultural expansion, for instance - and variables that make deforestation more likely, including higher population density, the presence of settlements and rural properties, and higher density of road infrastructure, both legal and illegal."

"ne of the creepiest - and most useful - Google inventions has been its ability to predict traffic jams by using anonymised ping-backs from mobile phones to tell how fast everyone is moving."

"KFC has teamed up with Baidu - the search engine company often referred to as "China's Google" - to develop facial-recognition technology that can be used to predict customer's orders."

"The possibility of digitally interacting with someone from beyond the grave is no longer the stuff of science fiction. The technology to create convincing digital surrogates of the dead is here, and it's rapidly evolving, with researchers predicting its mainstream viability within a decade. But what about the ethics of bereavement-and the privacy of the deceased? Speaking with a loved one evokes a powerful emotional response. The ability to do so in the wake of their death will inevitably affect the human process of grieving in ways we're only beginning to explore."

"The study found that when a person's gait-speed dropped by 5cm/second within a week, this was a sign that they were at increased risk of a fall - in fact, 86% had a fall within three weeks when such a drop in walking speed was observed. By contrast, the elderly residents who had no change in walking speed had a background probability of falling of 19.5%."

"The response on Twitter was predictably splenetic. Suárez's supporters claimed the images were manipulated, their argument promoted by a rather well-done diptych which did the rounds. The left-hand image - which had been photoshopped to remove the marks - purported to be the "real" unaltered version, while the right hand side - Gentile's original image - was labelled the fake."

"On the surface of it, the incident is entirely trivial: in a thoughtless moment, a police officer on a surveillance helicopter decides to tweet a photo of a celebrity he's spotted (in this case Michael McIntyre), briefly adding the Metropolitan police to the ranks of London paparazzi. The Met's snap had a few features a standard press photo lacks, though, including an exact timestamp, location data, and a vantage point from an expensive and taxpayer-funded aerial spot. Online reaction to the photograph was predictably bad - why are police invading the privacy of someone who's doing nothing wrong? - and was followed by questioning whether the photo breached the Data Protection Act, which it may well have done."

A new blog shows the pages of a book that was bought in 1972, depicting the year 2010. Now that we are in that year, it is interesting to see what predictions were correct.

Apparently all games (and who knows what else) for computers will only be available by downloads by the year 2011. If this is a good thing, we shall have to find out in a year's time.

""Many predicted at the outset that Google would simply agree to most requests for removal to save time and money," said Barron. "That hasn't happened - 60% of removal requests have been rejected. Every single request is considered by our teams and there is no automation. If their judgment is challenged by the publisher we will reconsider and, if a mistake has been made, we will reinstate." "

"Going from small data analytics to Big Data analytics or to predictive and prescriptive analytics is trickier. Expanding in both dimensions is human capital intensive, requiring talented data scientists. A McKinsey report (2011) estimates that by 2018, there will be a shortage of 140,000 to 190,000 workers with "deep analytical" experience and a further 1.5 million data-literate managers in the US. Technology giants such as Google, Facebook and Amazon, and large investment banks and top hedge funds can afford such employees, however even now the competition is fierce, as is evidenced by the ongoing talent war in Silicon Valley. The data scientist is indeed a sexy job in the 21st century."

"With all the information together, they created a prediction model which can guess with 80% accuracy whether or not that user will go on to be banned from just their first five posts. "

Much of current science deals with even more complicated systems, and similarly lacks exact solutions. Such models have to be "computational" - describing how a system changes from one instant to the next. But there is no way to determine the exact state at some time in the future other than by "simulating" its evolution in this way. Weather forecasting is a familiar example; until the advent of computers in the 1950s, it was impossible to predict future weather faster than it actually happened.

"Big data and artificial intelligence are some of today's most popular buzzwords. Both are promised to help deliver insights that were previously too complex for computer systems to calculate. With examples ranging from personalised recommendation systems to automatic facial analyses, user-generated data is now analysed by algorithms to identify patterns and predict outcomes. And the common view is that these developments will have a positive impact on society."

"The Future of Jobs Report arrives as the rising tide of automation is expected to displace millions of American workers in the long term and as corporations, educational institutions and elected officials grapple with a global technological shift that may leave many people behind. The report, published Monday, envisions massive changes in the worldwide workforce as businesses expand the use of artificial intelligence and automation in their operations. Machines account for 29 percent of the total hours worked in major industries, compared with 71 percent performed by people. By 2022, however, the report predicts that 42 percent of task hours will be performed by machines and 58 percent by people"

"The system used historical data, including arrest records and electronic police reports, to forecast crime and help shape public safety strategies, according to company and city government materials. At no point did those materials suggest any effort to clean or amend the data to address the violations revealed by the DOJ. In all likelihood, the corrupted data was fed directly into the system, reinforcing the department's discriminatory practices."

"But researchers have approximately zero clues as to why it's so good at it, and it doesn't help that the AI essentially taught itself to make these predictions. According to one researcher involved in the project, "We can build these models, but we don't know how they work.""

""If they are not happy, and not eating well, in some cases you can predict whether the pig is sick," said Jackson He, chief executive officer of Yingzi Technology, a small firm based in the southern city of Guangzhou that has introduced its vision of a "future pig farm" with facial and voice recognition technologies. China's biggest tech firms want to pamper pigs, too. Alibaba, the e-commerce giant, and JD.com, its rival, are using cameras to track pigs' faces. Alibaba also uses voice-recognition software to monitor their coughs."

"If mediocre malware can power some of the largest DDoS attacks ever, and considering the sad state of security of the Internet of Things in general, we should probably brace for more cyberattacks powered by our easy-to-hack "smart" Internet of Things, as many, including ourselves, had predicted months ago."