Lifeboat Foundation

This bike is basically a treadmill on wheels.

STOCKHOLM (GomSpace PR) — As part of a mission to demonstrate interlink communication on nanosatellite tandem formation flights and data retrieval, including surveillance of the Arctic area, the Danish nanosatellite specialist GomSpace launched two nanosatellites in February.

Twelve weeks later, GomSpace for the first time showed the possibility of live data capture from the two nanosatellites in space at a press conference held in Aalborg, Denmark. At the same time, the press conference marked the official transition to the so-called demonstration phase, following the mission’s test phase. The latter has thus been successfully completed, and the mission is now ready to carry out its scheduled tasks.

On February 2, 2018, GomSpace launched two nanosatellites mounted on the Chinese missile Long March 2D from a launch station in the Gobi Desert. The objective of the two nanosatellites, based on GomSpace’s 6U platform, is in part to monitor the Arctic area. It is an area where ice has melted significantly in recent years, meaning that the area sees more and more activity in the shape of aircraft and ships, researchers and tourists.

Continue reading “GomSpace Successfully Commissions GOMX-4 Nanosats” »

It can happen in a flash — airborne science, that is.

Two hundred microseconds, to be exact. With lasers shot from the belly of a King Air B200 aircraft.

That’s right, scientists are shooting lasers at atmospheric gases — not to zap them out of existence, but to measure them.

Continue reading “Taking the Pulse of Greenhouse Gases” »

The largest plane ever built – backed by Microsoft co-founder Paul Allen and his company Vulcan Aerospace – is set to take full flight for the first time within months.

Known as Stratolaunch, the huge aircraft is so big that it requires two cockpits and six jet engines to take off.

The aircraft also has a wingspan of 385 feet, over a hundred more than the average football pitch.

Continue reading “The world’s largest plane with a wingspan bigger than a football pitch is preparing to take off” »

Happy birthday to dr. aubrey de grey bigsmile

How many biologists does it take to make nontrivial progress on an unsolved mathematical problem for the first time in nearly 70 years? The answer is one, at least if the biologist is Dr. Aubrey de Grey, the pioneer of the repair approach to aging.

Yes, you read that right. Today, in occasion of Dr. de Grey’s birthday, we’ve decided to take a short break from biology and rejuvenation to tell our readers about the recent scientific achievement of one of the world’s most famous biogerontologists—unexpectedly, but pleasantly so, in the field of mathematics.

Continue reading “Happy birthday Aubrey de Grey” »

Like a miniaturized Moby Dick, the pure-white fish wiggles slowly over the reef, ducking under corals and ascending, then descending again, up and down and all around. Its insides, though, are not flesh, but electronics. And its flexible tail flicking back and forth is not made of muscle and scales, but elastomer.

The Soft Robotic Fish, aka SoFi, is a hypnotic machine, the likes of which the sea has never seen before. In a paper published today in Science Robotics, MIT researchers detail the evolution of the world’s strangest fish, and describe how it could be a potentially powerful tool for scientists to study ocean life.

Scientists designed SoFi to solve several problems that bedevil oceanic robotics. Problem one: communication. Underwater vehicles are typically tethered to a boat because radio waves don’t do well in water. What SoFi’s inventors have opted for instead is sound.

Processors with artificial intelligence will spread from today’s top-end phones to cars, PCs, security cameras, smart speakers and mainstream phones.

The nation’s insatiable desire to build its own hardware naturally extends to the world of robo-taxis.

Backstory: China has made no secret of wanting to design and produce huge numbers of its own chips. It’s already gunning to build the processors that power an impending wave of artificial-intelligence hardware.

The news: Bloomberg reports that domestic firms are also expected to build the chips that will be the brains behind the nation’s robotic cars. Startups like Horizon Robotics, founded by the former chief of Baidu’s Institute of Deep Learning, are scrambling to build low-power devices that process data from sensors dotted around cars.

Continue reading “China hopes to build the chips that will control millions of driverless cars” »

Since the Cambridge Analytica scandal erupted in March, Facebook has been attempting to make a moral stand for your privacy, distancing itself from the unscrupulous practices of the U.K. political consultancy. “Protecting people’s information is at the heart of everything we do,” wrote Paul Grewal, Facebook’s deputy general counsel, just a few weeks before founder and CEO Mark Zuckerberg hit Capitol Hill to make similar reassurances, telling lawmakers, “Across the board, we have a responsibility to not just build tools, but to make sure those tools are used for good.” But in reality, a confidential Facebook document reviewed by The Intercept shows that the two companies are far more similar than the social network would like you to believe.

The recent document, described as “confidential,” outlines a new advertising service that expands how the social network sells corporations’ access to its users and their lives: Instead of merely offering advertisers the ability to target people based on demographics and consumer preferences, Facebook instead offers the ability to target them based on how they will behave, what they will buy, and what they will think. These capabilities are the fruits of a self-improving, artificial intelligence-powered prediction engine, first unveiled by Facebook in 2016 and dubbed “FBLearner Flow.”

One slide in the document touts Facebook’s ability to “predict future behavior,” allowing companies to target people on the basis of decisions they haven’t even made yet. This would, potentially, give third parties the opportunity to alter a consumer’s anticipated course. Here, Facebook explains how it can comb through its entire user base of over 2 billion individuals and produce millions of people who are “at risk” of jumping ship from one brand to a competitor. These individuals could then be targeted aggressively with advertising that could pre-empt and change their decision entirely — something Facebook calls “improved marketing efficiency.” This isn’t Facebook showing you Chevy ads because you’ve been reading about Ford all week — old hat in the online marketing world — rather Facebook using facts of your life to predict that in the near future, you’re going to get sick of your car. Facebook’s name for this service: “loyalty prediction.”

Continue reading “Does Facebook Use AI To Predict Your Future Actions For Advertisers?” »