Satellites are best known for helping smartphones map driving routes or televisions deliver programs. But now, data from some of the thousands of satellites orbiting Earth are helping track things like crop conditions on rural farms, illegal deforestation, and increasingly, poverty in the hard-to-reach places around the globe. As much as that data has the potential to provide invaluable information to humanitarian organizations, watchdog groups, and policymakers, there is too much of it to sift through in order to draw insights that could influence important decisions. A team of researchers from Stanford University, however, says it has developed an efficient way. By creating a deep-learning algorithm that can recognize signs of poverty in satellite images – such as condition of roads – the team sorted through a million images to accurately identify economic conditions in five African countries, reported the scientists in the journal Science on Thursday.

A global hub of the machinery industry, Taiwan is stepping up efforts to develop innovative smart manufacturing technologies. From May 20-24 this year, about 30,000 visitors, including buyers from Asia, Europe and the U.S., flocked to the Commercial Exhibition Center in Taichung City, central Taiwan for the Automatic Machinery and Intelligent Manufacturing Exhibition. The trade show has been staged annually in Taichung for more than three decades, though this marked the first time that intelligent manufacturing was used in the title of the event. Organizer Commercial Times, one of the country's two major financial newspapers, opted to alter the name of the show to highlight the growing focus on this field in the nation's globally competitive machinery sector. "This is the 32nd edition of our machinery show in Taichung. But unlike previous events, this year's exhibition features intelligent machines to reflect the current trend in manufacturing systems development," Chen Kuo-wei (???), president of Commercial Times, said at the opening ceremony of the five-day event, which generated business deals totaling about NT 300 million (US 9.2 million).

During a half-hour interval on May 6, 2010, stock prices for some of the largest companies in the world dropped precipitously, some to just pennies a share. Then, just as suddenly and inexplicably, shares recovered to their pre-crash prices. This unprecedented event, burned into the memories of investors and regulators alike, is now known as the Flash Crash. Since that day, financial markets have seen flash crashes in US Treasury securities, foreign currencies, and exchange-traded funds (ETFs). Other puzzling, system-wide glitches are becoming more frequent as well.

Residents of Helsinki, Finland will soon be used to the sight of buses with no drivers roaming the city streets. One of the world's first autonomous bus pilot programs has begun in the Hernesaari district, and will run through mid-September. Finnish law does not require vehicles on the road to have a driver, making it the perfect place to get permission to test the Easymile EZ-10 electric mini-buses. "This is actually a really big deal right now," Harri Santamala, project manager at Metropolia University of Applied Sciences and the test project lead, told a local news outlet. SEE: When will we get driverless cars?

There is universal proverb that roughly translates into "Empty vessels make the most noise." Some ascribe it to Plato, but having come from Punjab (India), I can safely confirm that the Punjabi translation means exactly that, and Punjab has as much to do with Plato as chicken tikka masala has to do with French cuisine. One of my favourite version of this proverb comes from Polish, which translated into English means, "The cow which moos a lot gives little milk." This pretty much reflects a certain philosopher from Oxford who without having any foundation in principles of engineering, let alone (proper) machine learning, seems to think himself as the leading authority to warn the world against the perils of machine learning. And for the last few years has busied himself making outrageous, pseudoscientific and shamanic claims to sell his book.

The robots have won, thanks to the geniuses at this year's Clarifai x General Assembly Artificial Intelligence (A.I.) Hackathon! Last week, 150 developers gathered at General Assembly's swanky Flatiron office to build, hack, and make creative, robot apocalypse-inducing, A.I.-based smart apps. The theme of our A.I. hackathon was to build something to advance the robot apocalypse - in a tongue-in-cheek way, obviously. The winning hacks were incredibly creative and seriously devious, but everyone who participated went above and beyond any other event we've ever hosted. Eleven hours of coding with hackers from different backgrounds, schools, and industries really made this hackathon a success!

The Abe administration is stepping up efforts to improve the safety of drones as it tries to develop a delivery service using the unmanned vehicles in depopulated areas, such as remote islands, by 2018, a government source said. The cost of developing the new private-sector service is expected to be incorporated in the budget request for the fiscal year starting next April, the source said Monday. Prime Minister Shinzo Abe has pledged to draw up necessary measures for the drone delivery program within the next three years. The administration sees drone-related services as a pillar to support elderly people and to deliver relief goods in disaster areas. The government is also aiming to help private-sector companies so they can start a drone home delivery service in urban areas by 2020, when Tokyo will host the Olympics, the source said.

In a Public Policy Polling survey, quite a few Texans say they'll vote for Harambe for president in November. If you haven't looked at the Internet in a while, Harambe was a gorilla fatally shot by a zookeeper after a toddler fell into his pen, but he's more than that. He's a meme, and his candidacy in Texas represents the voice of the Internet insinuating its way into polling. Traditional polling methods aren't working the way they used to. Upstart analytics firms like Civis and conventional pollsters like PPP, Ipsos, and Pew Research Institute have all been hunting for new, more data-centric ways to uncover the will of the whole public, rather than just the tiny slice willing to answer a random call on their landline.

Aptonomy Inc. has developed drone technology that could make prison breaks, robberies or malicious intrusions of any kind impossible for mere mortals. Dubbing it a kind of "flying security guard," the company has built its systems on top of a drone often used by movie-makers, the DJI S-1000, a camera-carrying octocopter. To that skeleton, Aptonomy adds a new flight controller, and second computer to power day- and night-vision cameras, bright lights, and loudspeakers, among other things. And more importantly than the hardware features, Aptonomy has developed artificial intelligence and navigational systems that allow its drones to fly low and fast, avoiding obstacles in structure-dense environments, and detecting human activity or faces in the area, autonomously. A user can open up a browser, get onto the Aptonomy interface, click on a point on a map to send out a drone to a particular location, then watch that flight in real time, or review a recording of it later.

The rover that Nasa has been using to explore Mars in search of life has captured an incredible panorama of the planet that shows it looking a lot like Earth. The Curiosity Mars rover captured the vista on August 5, four years after the rover landed on Gale Crater. The view shows eroded mesas and buttes with a flat desert-like foreground, which looks eerily similar the southwestern US. Look familiar?: The buttes and mesas captured by Nasa's Curiosity rover on Mars look of similar shape and condition to parts of Earth, especially the southwestern US The surface seen in the footage is part of a geological layer called the Murray formation, which formed from lakebed mud deposits. Nasa said the dark mesa just left of Curiosity's robotic arm is about 50 feet high and 300 feet from the rover's position, theHuffington Post reported.