Lifeboat Foundation

“Dirk Ahlborn, chief executive officer of Hyperloop Transportation Technologies (HTT), announced on Thursday that HTT has reached an agreement with the Slovakian government to explore building a local Hyperloop system. A transport system capable of speeds of up to 760mph (1,223kph).

According to Ahlborn, the next steps will include identifying a route that could connect Bratislava, Slovakia’s capital, with Vienna and Budapest.”

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Mathematicians have discovered a surprising pattern in the expression of prime numbers, revealing a previously unknown “bias” to researchers.

Primes, as you’ll hopefully remember from fourth-grade math class, are numbers that can only be divided by one or themselves (e.g. 2, 3, 5, 7, 11, 13, 17, etc.). Their appearance in the roll call of all integers cannot be predicted, and no magical formula exists to know when a prime number will choose to suddenly make an appearance. It’s an open question as to whether or not a pattern even exists, or whether or not mathematicians will ever crack the code of primes, but most mathematicians agree that there’s a certain randomness to the distribution of prime numbers that appear back-to-back.

Or at least that’s what they thought. Recently, a pair of mathematicians decided to test this “randomness” assumption, and to their shock, they discovered that it doesn’t actually exist. As reported in New Scientist, researchers Kannan Soundararajan and Robert Lemke Oliver of Stanford University in California have detected unexpected biases in the distribution of consecutive primes.

Continue reading “Mathematicians Discovered Something Super Freaky About Prime Numbers” »

Or not.

It was hailed as the most significant test of machine intelligence since Deep Blue defeated Garry Kasparov in chess nearly 20 years ago. Google’s AlphaGo has won two of the first three games against grandmaster Lee Sedol in a Go tournament, showing the dramatic extent to which AI has improved over the years. That fateful day when machines finally become smarter than humans has never appeared closer—yet we seem no closer in grasping the implications of this epochal event.

Indeed, we’re clinging to some serious—and even dangerous—misconceptions about artificial intelligence. Late last year, SpaceX co-founder Elon Musk warned that AI could take over the world, sparking a flurry of commentary both in condemnation and support. For such a monumental future event, there’s a startling amount of disagreement about whether or not it’ll even happen, or what form it will take. This is particularly troubling when we consider the tremendous benefits to be had from AI, and the possible risks. Unlike any other human invention, AI has the potential to reshape humanity, but it could also destroy us.

Continue reading “Everything You Know About Artificial Intelligence is Wrong” »

We keep seeing cool aircraft designs. So why do modern aircraft look 50 years old?

This is what it’s like inside North Korea’s new science and technology center.

Microsoft founder optimistic about embryonic technology.

Researchers could be using cloud-based quantum computing power to solve big scientific conundrums within the next decade, Microsoft founder Bill Gates has predicted.

The Microsoft founder turned philanthropist was hopeful about the future of the embryonic technology during an Ask Me Anything interview on Reddit.

Continue reading “Quantum cloud computing could help solve global problems, says Bill Gates” »

Interesting — DNA Microchips to be released soon.

Researchers presented this incredible work at the national meeting and exposition of the American Chemical Society (ACS) in San Diego, California, on Sunday.

Adam T Woolley, professor of chemistry at Brigham Young University (BYU) said that they are planning to use DNA’s small size and base-pairing capabilities and ability to self-assemble, and direct it to make nanoscale structures that could be used for electronics.

Continue reading “Get ready for DNA-based computer chips!” »

There are at least 200 forms of cancer and many more subtypes. Cancer is caused by an accumulation of DNA errors, or mutations, that allows cells to proliferate in an uncontrolled manner. Each cancer subtype has its own unique signature of DNA mutations in its genome; identifying these mutations and understanding how they interact to drive the disease is the foundation for improving cancer prevention, early detection and treatment.

TCGA’s finalized tissue collection contains matched tumor and normal tissues from 11,000 patients, and allows for the comprehensive characterization of 33 cancer types and subtypes, including 10 rare cancers. The comprehensive data that have been generated by TCGA’s network approach are freely available and widely used by the cancer community through the TCGA Data Portal and the Cancer Genomics Hub (CGHub).

In 2012, Cycle Computing and a multinational biotechnology company partnered to leverage cloud computing to analyze TCGA data in a unique way. The firm had developed a new end-to-end solution to identify DNA mutations in the TCGA data that could act as markers and risk factors in cancer samples. This solution included the typical SNP and DNA variation workflow, as well as a custom gene fusion, chromosome aberration discovery pipeline.

Continue reading “Leveraging Cloud Computing to Analyze Cancer Genome Atlas Data in a Unique Way” »