Lifeboat Foundation: Safeguarding Humanity
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Month: March 2018

Space has suddenly become big in New Zealand, but Rocket Lab is just one example of what is starting to look like exponential growth in commercial activity. Business consultant and self-confessed space junkie Kevin Jenkins looks into how things are shaping up.

One space narrative is about disappointment. The 1950s and 1960s were about possibilities, and landing on the Moon seemed to prove that the science fiction of the 20th century really was just history written before it happened. But the promise of space seemed to peter out. The Apollo moon programme came to look more like a peak or end-point, rather than the trial run for Mars some in the space programme had hoped it would be.

After Apollo, “space” seemed to shift back to being more of a popular culture theme. For example, the famous song, album and movie Space is the Place is by one of my favourite jazz weirdos, Sun Ra, who was adamant he came from Saturn. Space became a dominant meme in pop and rock music too, as well as a mainstay in novels and films.

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The pair of galaxies NGC 1531/2, engaged in a spirited waltz, is located about 70 million light-years away towards the southern constellation Eridanus (The River). The deformed foreground spiral galaxy laced with dust lanes NGC 1532 is so close to its companion — the background galaxy with a bright core just above the centre of NGC 1532 — that it gets distorted: one of its spiral arms is warped and plumes of dust and gas are visible above its disc. The cosmic dance leads to another dramatic effect: a whole new generation of massive stars were born in NGC 1532 because of the interaction. They are visible as the purple objects in the spiral arms.

This exquisite image was made using the 1.5-metre Danish telescope at the ESO La Silla Observatory, Chile. It is based on data obtained through three different filters: B, V and R. The field of view is 12 x 12 arcmin.

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On the Right Track

In the final analysis, while IBM clearly has more work to do, it’s on the right track. Its investments in cloud and AI are already paying off, while blockchain and quantum computing bets are looking promising.

Furthermore, while IBM’s progress overall is clearly a massive team effort, Big Blue’s execution is due in large part to Rometty’s six years of leadership.

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Biotech lobbyists and companies are trying to get the Trump administration to hand regulation of genetically edited animals over to the USDA, which has more lenient rules than the FDA, which currently regulates animals.

Low-fat pigs? Chickens with cancer-fighting eggs?

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The renowned physicist Dr. Richard Feynman once said: “What I cannot create, I do not understand. Know how to solve every problem that has been solved.”

An increasingly influential subfield of neuroscience has taken Feynman’s words to heart. To theoretical neuroscientists, the key to understanding how intelligence works is to recreate it inside a computer. Neuron by neuron, these whizzes hope to reconstruct the neural processes that lead to a thought, a memory, or a feeling.

With a digital brain in place, scientists can test out current theories of cognition or explore the parameters that lead to a malfunctioning mind. As philosopher Dr. Nick Bostrom at the University of Oxford argues, simulating the human mind is perhaps one of the most promising (if laborious) ways to recreate—and surpass—human-level ingenuity.

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Pharma and biotech companies spend billions of dollars each year to acquire genomic data. Scientists need large genomic datasets to identify causes of disease and develop cures. However, growth of the genomic data market is hindered by small data quantities, data fragmentation, lack of data standardization and slow data acquisition.

Nebula Genomics will leverage blockchain technology to eliminate the middleman and empower people to own their personal genomic data. This will effectively lower sequencing costs and enhance data privacy, resulting in growth of genomic data. Our open protocol will leverage the genomic data growth by enabling data buyers to efficiently aggregate standardized data from many individuals and genomic databanks.

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