1. Articles from The Verge


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    1. How to set up two-factor authentication on all your online accounts

      Just about any account you own on the internet is prone to being hacked — and one of the easiest ways to add an extra layer of security is to enable two-factor authentication. Also known as two-step verification or 2FA, the process gives web services a secondary access to the account owner (you!) in order to verify a login attempt. Typically, this involves phone number and / or an email address.

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    2. Salesforce created an algorithm that automatically summarizes text using machine learning

      This year, people are expected to spend more than half their day reading e-mail, articles, or posts on social media, and it’s only going to get worse. To help solve this problem, researchers at Salesforce have developed an algorithm that uses machine learning to produce “surprisingly coherent and accurate” summaries according to MIT Technology Review.

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    3. Machine learning's next trick is generating videos from photos

      Researchers from MIT attempting to solve this problem have come up with some very impressive results, using specially trained neural networks to turn images into videos and getting the computer to essentially predict what happens next. Their model has plenty of limitations — the videos are seconds long, tiny, and often nightmarish — but it’s still an impressive feat of machine imagination, and another step toward computers that understand the world a little more like humans.

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    4. Apple acquires health data startup Gliimpse

      Apple has quietly acquired health data startup Gliimpse, Fast Company reports. Founded in 2013, Gliimpse collates users’ personal health data from different platforms, turning information from labs, hospitals, and pharmacies into a single shareable report. This report can be used to provide doctors with a complete medical record, but Gliimpse also suggests that users donate it anonymously to a "national health graph," which would provide raw material to researchers seeking medical breakthroughs.

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    5. This startup uses machine learning and satellite imagery to predict crop yields

       Johnson's startup, Descartes Labs, relies on 4 petabytes of satellite imaging data and a machine learning algorithm to figure out how healthy the corn crop is from space. It analyzes satellite data of every single farm in the US on a daily basis (provided there is no cloud cover) and updates its corn yield prediction every two days. 

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    6. Google uses DeepMind AI to cut data center energy bills

      The amount of energy consumed by big data centers has always been a headache for tech companies. Keeping the servers cool as they crunch numbers is such a challenge that Facebook even built one of its facilities on the edge of the Arctic Circle. Well, Google has a different solution to this problem: putting its DeepMind artificial intelligence unit in charge and using AI to manage power usage in parts of its data centers. 

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    7. Samsung's big bet: put American software startups inside its most important hardware

      With GIC, Samsung is hoping to absorb some of the hacker agility found in Silicon Valley and New York. This year will be the crucial test for its ability to forge successful integrations between those worlds. Three startups it brought into the fold — SmartThings, LoopPay, and Pixie — will play critical roles across Samsung’s most important consumer categories: appliances, smartphones, and televisions.

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