Four Weekly Tech Newsletter – July 18

A round up of the latest tech stories, curated for you weekly, by Four.

Lead articles from July 18

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Scientists use Artificial Intelligence to detect gravitational waves

When gravitational waves were first detected in 2015 by the advanced Laser Interferometer Gravitational-Wave Observatory (LIGO), they sent a ripple through the scientific community, as they confirmed another of Einstein’s theories and marked the birth of gravitational wave astronomy. Five years later, numerous gravitational wave sources have been detected…

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AI can now convincingly mimic cybersecurity experts and medical researchers

If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation – flagged and unflagged – has been aimed at the general public. Imagine the possibility of misinformation – information that is false or misleading – in scientific and technical fields like cybersecurity, public safety and medicine.

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Four ways AI is helping us learn about the universe

Astronomy is all about data. The universe is getting bigger and so too is the amount of information we have about it. But some of the biggest challenges of the next generation of astronomy lie in just how we’re going to study all the data we’re collecting. To take on these challenges, astronomers are turning to machine learning and artificial intelligence (AI) to build new tools to rapidly search for the next big breakthroughs. Here are four ways AI is helping astronomers.

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Using AI to build more personal customer connections

Customers want more personal connections with brands. That’s what we’ve come to expect with many of the most respected brands today. Lululemon, Amazon and Starbucks, for example, are building their companies on the ability to forge emotional connections at scale. As more brands rely on digital channels like chatbots, messaging apps and email campaigns to build relationships, AI and ML are critical in being able to use the big sets of data amassed…