Coronavirus Fear Leads to 800 Staff at Apple Supplier Staying Home

SK Hynix, which supplies Apple with RAM, told 800 of its staff to stay home. It happened after it emerged that one trainee had been in contact with someone who was infected with coronavirus, AppleInsider reported.

SK Hynix on Thursday said it had requested 800 of its workers to quarantine themselves to prevent the spread of the coronavirus as a preventative measure. The precaution was made after the discovery one trainee had met a patient in Daegu, a city in South Korea that is at the center of an outbreak of the virus. The trainee was tested alongside another with symptoms of pneumonia, Reuters reports, though while neither were found to have the virus under the first test, a second is being performed to make sure. The company has also closed its training center and hospital in Incheon.

More Details About Apple's Row With German App Store Manager Over 'Tell All' Book

I previously reported that Apple was attempting to stop the distribution of a book by a former German App Store manager, which purports to ‘tell-all’ about life at the company. Reuters offers more details about the row, and the legal arguments being made by both sides. The information largely comes courtesy of a letter by Ralph Oliver Graef, publisher Murmann’s lawyer.

“Apple is trying to obstruct the publication of a book that addresses its business practices, but is written very sympathetically,” Graef said. Murmann said a first print run of 4,000 copies was selling well and, rather than pulling the book, it was rushing out a second print run. “It’s No. 2 on the Amazon best-seller list in Germany – everyone is talking about it,” said Peter Felixberger, an executive at Murmann.

This Startup Wants to Build a “GitHub for Data”

A startup called Gretel wants to build a “GitHub for data” so developers can safely access sensitive data.

Often, developers don’t need full access to a bank of user data — they just need a portion or a sample to work with. In many cases, developers could suffice with data that looks like real user data.

This so-called “synthetic data” is essentially artificial data that looks and works just like regular sensitive user data. Gretel uses machine learning to categorize the data — like names, addresses and other customer identifiers — and classify as many labels to the data as possible. Once that data is labeled, it can be applied access policies. Then, the platform applies differential privacy — a technique used to anonymize vast amounts of data — so that it’s no longer tied to customer information.