Lifeboat Foundation: Safeguarding Humanity
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In 1965, I. J. Good described for the first time the notion of “intelligence explosion”, as it relates to artificial intelligence (AI):

Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an “intelligence explosion,” and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.

Decades later, the concept of an “intelligence explosion” — leading to the sudden rise of “superintelligence” and the accidental end of the human race — has taken hold in the AI community. Famous business leaders are casting it as a major risk, greater than nuclear war or climate change. Average graduate students in machine learning are endorsing it. In a 2015 email survey targeting AI researchers, 29% of respondents answered that intelligence explosion was “likely” or “highly likely”. A further 21% considered it a serious possibility.

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In February, a group of 16 researchers from Harvard, MIT, and other institutions around the U.S. and Europe launched the nonprofit Academy for Health and Lifespan Research to promote future work, ease collaborations between scientists, and ensure that governments and corporations are making decisions based on the latest facts instead of rumor, speculation, or hype.

Research into extending humanity’s healthy lifespan has been progressing rapidly in recent years. In February, a group of aging and longevity scientists founded a nonprofit to foster the work and serve as a resource for governments and businesses looking to understand the potentially far-reaching implications of a population that lives significantly longer, healthier lives.

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Cognitive computing (CC) technology revolves around making computers adept at mimicking the processes of the human brain, which is basically making them more intelligent. Even though the phrase cognitive computing is used synonymously with AI, the term is closely associated with IBM’s cognitive computer system, Watson. IBM Watson is a supercomputer that leverages AI-based disruptive technologies like machine learning (ML), real-time analysis, natural language processing, etc. to augment decision making and deliver superior outcomes.

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So far, no one has commercialized nuclear fusion, but the race is on to be the first to figure it out. Whoever does will be able to bring power to the more than 1 billion who don’t have access to electricity, power cars and help companies operate businesses without having to create harmful emissions.

Jeff Bezos and others have sunk more than $127 million into General Fusion, a start-up trying to commercialize fusion energy. Microsoft is partnering with the company. The goal: to provide energy to 1 billion people that don’t have electricity.

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These days, it seems anyone wanting to launch rockets will inevitably be compared to Elon Musk and Jeff Bezos, especially if rocket launching isn’t the only business interest on the agenda. Musk has Tesla plus SpaceX, and Bezos has Amazon plus Blue Origin. Now, meet Mark Russell, a disciple of Bezos and rocket engineer who founded HyperSciences, a drilling company that uses aerospace technology to both quickly extract underground geothermal energy and put payloads into orbit at low cost.

The idea of leveraging Earth’s geothermal energy is not a new concept, but the expense and time required to reach the depth needed have been prohibitively expensive. That’s where HyperSciences comes in.

Russell and his team have developed a low-cost, multi-purpose projectile called the HyperDrone that can accelerate to velocities over five times the speed of sound and pulverize hard rock via their HyperDrill. This will enable tunneling speeds that are 5–10 times quicker than conventional methods, and more importantly, it opens up significant market viability in other industries that could benefit, namely when that acceleration is pointed skyward. NASA has already recognized this potential and is a current investor and major partner of HyperSciences.

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Artificial intelligence and its subset of disciplines—such as machine learning, natural language processing, and computer vision —are seemingly becoming integrated into our daily lives whether we like it or not. What was once sci-fi is now ubiquitous research and development in company and university labs around the world.

Similarly, the startups working on many of these AI technologies have seen their proverbial stock rise. More than 30 of these companies are now valued at over a billion dollars, according to data research firm CB Insights, which itself employs algorithms to provide insights into the tech business world.

Private companies with a billion-dollar valuation were so uncommon not that long ago that they were dubbed unicorns. Now there are 325 of these once-rare creatures, with a combined valuation north of a trillion dollars, as CB Insights maintains a running count of this exclusive Unicorn Club.

The subset of AI startups accounts for about 10 percent of the total membership, growing rapidly in just 4 years from 0 to 32. Last year, an unprecedented 17 AI startups broke the billion-dollar barrier, with 2018 also a record year for venture capital into private US AI companies at $9.3 billion, CB Insights reported.

AI startup investments graph cbinsights Peter Rejcek AI

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Join S-Booster 2019!

We will invite space-based business ideas from the Asia and Oceania regions!The Contest facilitates the realization of each business idea through open innovation with Japanese companies, and also provides financial support, business coaching and other assistances. Promoting Win-Win Business Cooperation Between Asia and Japan!

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