Lifeboat Foundation: Safeguarding Humanity
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Elon Musk unveils SpaceX’s future Mars vehicle and discusses the long-term technical challenges that need to be solved to support the creation of a permanent, self-sustaining human presence on Mars. The presentation focuses on potential architectures for sustaining humans on the Red Planet that industry, government and the scientific community can collaborate on in the years ahead.

Overview:
00:00. Why Mars and become a multi-planetary civilisation.

05:55. Early exploration missions.

09:15. Challenge 1: Full re-usability

11:17. Challenge 2: Refilling in orbit

12:31. Challenge 3: Mars propellant production.

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Translating from one language to another is hard, and creating a system that does it automatically is a major challenge, partly because there are just so many words, phrases and rules to deal with. Fortunately, neural networks eat big, complicated data sets for breakfast. Google has been working on a machine learning translation technique for years, and today is its official debut.

The Google Neural Machine Translation system, deployed today for Chinese-English queries, is a step up in complexity from existing methods. Here’s how things have evolved (in a nutshell).

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The world’s largest technology companies hold the keys to some of the largest databases on our planet. Much like goods and coins before it, data is becoming an important currency for the modern world. The data’s value is rooted in its applications to artificial intelligence. Whichever company owns the data, effectively owns AI. Right now that means companies like Facebook, Amazon, Alphabet, IBM and Microsoft have a ton of power.

In an act of self-governance, these five companies came together today to announce the launch the new Partnership on AI. The group is tasked with conducting research and promoting best practices. Practically, this means that the group of tech companies will come together frequently to discuss advancements in artificial intelligence. The group also opens up a formal structure for communication across company lines. It’s important to remember that on a day-to-day basis, these teams are in constant competition with each other to develop the best products and services powered by machine intelligence.

Financial support will be coming from the initial tech companies that are members of the group, but in the future, membership and involvement is expected to increase. User activists, nonprofits, ethicists and other stakeholders will be joining the discussion in the coming weeks.

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In Brief.

Tesla and SolarCity are working on making their cars capable of powering a household, and even the entire grid. Using vehicle-to-grid technology, Tesla may be on to something here, and its more than just saving on your electric bills.

Earlier this year, Elon Musk bought SolarCity for at least $2.6 billion, merging the solar engineering company with Tesla. Since then, both have been busy working on a few things. Perhaps the most interesting of these is the promise to cut down on your household electric bill.

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