Seven Must-Read Stories (Week Ending June 18, 2016)
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
June 10, 2016
- Basic Income: A Sellout of the American Dream
Schemes for giving everyone a guaranteed income are gaining momentum in Silicon Valley and throughout Western Europe. It’s a great idea, until you look closely. - Ultrasound Opens the Brain to Promising Drugs
The brain’s built-in protection system also prevents potentially lifesaving drugs from getting in, but maybe not for much longer. - Wind and Solar Will Be the Cheapest Way to Generate Power by 2040
Unfortunately, that’s not enough to win the climate-change battle. - Apple Rolls Out Privacy-Sensitive Artificial Intelligence
Software that analyzes friends’ faces or knows what’s in your photos must be restricted because of privacy concerns, says Apple. - A Chinese Rival Beats Uber at Its Own Game
Jean Liu explains how her ride-hailing company Didi Chuxing is besting Uber in China and why data is its biggest asset. - Why Startups Are Struggling
Even amid the venture capital boom of the past few years, entrepreneurs are finding it harder to build big, enduring companies. What does this mean for the future of innovation? - Can a Social-Media Algorithm Predict a Terror Attack?
Researchers unpacked how terrorists use social media, then built an algorithm that could help us predict future events.
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How Facebook and Google fund global misinformation
The tech giants are paying millions of dollars to the operators of clickbait pages, bankrolling the deterioration of information ecosystems around the world.
Can Afghanistan’s underground “sneakernet” survive the Taliban?
A once-thriving network of merchants selling digital content to people without internet connections is struggling under Taliban rule.
NASA wants to use the sun to power future deep space missions
Solar energy can make space travel more fuel-efficient.
DeepMind’s AI predicts almost exactly when and where it’s going to rain
The firm worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems.
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