10 things in tech you need to know today

Good morning! Here is the tech news you need to start your week.

1. The Wall Street Journal has reported that Intel warned Chinese companies like Lenovo and Alibaba before the US government about Spectre and Meltdown. This raised concerns as the Chinese government might have come across the information before the US.

2. Twitter announced that Russian bots retweeted Donald Trump’s account 469,537 times in the period leading up to the US election in 2016. Hillary Clinton’s tweets, by comparison, got 47,846 retweets.

3. Google Clips, the company’s screen-less camera that started selling online last Friday, sold out in about 24 hours. Google didn’t say when or if it will replenish the stock, and customers of the first batch will also have to wait until March for Clips cameras to ship.

4. A new Copyright Royalty Board ruling in the US will require streaming services like Spotify and Apple Music to give 15.1% of revenue to songwriters and music publishers over next five years. The number was previously 10.5%.

5. YouTube reportedly served ads containing Coinhive’s cryptocurrency-mining and CPU-draining JavaScript, likely using Google’s DoubleClick. Google has said that the ads have now been blocked.

6. Japanese cryptocurrency exchange Coincheck says it will repay all 260,000 users who lost money in a theft on Friday. The company said that about $US400 million (£283 million) worth of NEM coins were stolen.

7. Billionaire Saudi Prince Alwaleed bin Talal has been released after having been arrested last November amid a corruption crackdown. He is an investor in companies like Twitter and Lyft.

8. Russian Mail.ru has acquired ESforce, a Russian e-sports firm, for a reported $US100 million (£71 million). ESforce has 116 million active users.

9. Fitness-tracking app Strava has published a heat map that was analysed to track military bases and soldier jogging routes around the world. The map was first shared by the company in November 2017.

10. Google explained that it used a user experience-driven approach to build the machine learning algorithms of its Clips camera.The company hired professional photographers, and “taught” the algorithms to understand which moments would most likely be worth capturing.

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