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๐Ÿ’ก Warp News Newsletter #61

๐Ÿ’ก Warp News Newsletter #61

The week's fact-based optimistic news.

Mathias Sundin
Mathias Sundin

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๐Ÿ† Who can spread the most fact-based optimism?

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Mathias Sundin
CEO of Warp News
Chairman of Warp Institute

Fact-based optimistic news of the week

โ˜„๏ธ Welcome to Earth, Ryugu dust!

Scientists from the Japanese state space agency JAXA have now opened the sample return capsule brought to Earth from the asteroid Ryugu. The sample was dropped off from the Hayabusa2 spacecraft 10 days ago as it flew past Earth, completing a sample-return mission lasting 6 years.

Read the whole article.

๐Ÿฅ— Denmark is building Europe's largest vertical cultivation.

The Danish company Nordic Harvest will build a 7,000 square meter vertical farm that will produce 1,000 tonnes of food a year.

Read the whole article.

๐Ÿ“ฃ Low-power microcircuits create an AI revolution.

AI will need huge amounts of computing power for its "deep learning". Power-efficient microcircuits play a key role, behind the veil.

Read the whole article.

๐Ÿ“ฑ Sweden breaks world record in 5G on trains.

It's possible to get transfer speeds of over one gigabit per second, even on a moving train, as shown in a test carried out by KTH.

Read the whole article.

๐Ÿ“ฒ 5G is almost here - so now the work begins with 6G.

Hologram and haptic interfaces are just some of the possibilities that 6G can give us in ten years when the next-generation mobile network is to be put into operation.

Read the whole article.

๐Ÿ’ง Hydration might be a key to happiness.

A new survey shows being properly hydrated might be a key to happiness.

Read the whole article.

โญ๏ธ 2020 Will End With "Hopeful" Christmas Star Sighting - First Time in 800 Years.

The โ€œChristmas starโ€ or โ€œStar of Bethlehemโ€ is the first celestial happening of its kind to occur in 800 years. Meaning the last people to witness it were living in the Middle Ages.

Read the whole article.

๐Ÿ’ก The method that makes AI โ€‹โ€‹learn more easily.

Nvidia researchers have found a way to teach an AI to recognize images that require only a fraction of the training images normally needed.

Read the whole article.

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