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NASA opens research to public: Why that's a big deal

August 25, 2016

NASA announced last Tuesday that they would be releasing hundreds of peer-reviewed, scholarly articles on NASA-funded research projects online. The articles are entirely free to access for any member of the public. The new service is a big deal for the space agency, which has been gathering scientific information on a huge variety of topics since it was established in 1958.

Behold the new mega innovation company

August 24, 2016

Today’s tech companies can no longer rely on breakthroughs, robust patent portfolios, or one dominant revenue stream. These companies must own the future. They must capture our imagination, earn our trust, and somehow keep our attention on them. And they must be very large and broad. Those that succeed will soon be worth trillions of dollars, and we won’t know what they actually do anymore.

The problem with weed out classes

August 23, 2016

Intro Bio is one of many “weed-out classes” STEM majors wade through before obtaining the much-coveted, much-glorified Bachelor of Science. Though not a technical term, students christen courses “weed-outs” due to their ability to “weed out” those who may not have what it takes, so to speak, to pursue a particular subject.

US Woman Sentenced in Scheme to Provide Military Equipment to China

August 23, 2016

Before Wenxia Man was arrested for attempting to broker the $50 million sale of military equipment to the Chinese government, she knew the risks. In conversations with an undercover federal agent posing as a dealer, the California woman admitted she knew smuggling three jet engines and a drone out of the U.S. would be illegal, according to federal court documents.

Will Smart Machines Be Less Biased Than Humans?

August 23, 2016

There is no question that, by their very nature, artificial intelligence (AI) systems are more complex than traditional software systems where the parameters were built in and largely understandable. It was relatively clear how the older rules-based expert systems made decisions. In contrast, machine learning allows AI systems to continually adjust and improve based on experience.

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