Lifeboat Foundation

By Jason Dorrier — SingularityHub

There’s something almost alchemical going on at the Wake Forest Institute for Regenerative Medicine. Scientists there have genetically transformed skin cells into heart cells and used them to 3D print mini-organs that beat just like your heart. Another darker organoid fused to a mini-heart mimics your liver.

The work, developed by Anthony Atala and his Wake Forest team for the “Body on a Chip” project, aims to simulate bodily systems by microfluidically linking up miniature organs—hearts, livers, blood vessels, and lungs—and testing new drug treatments and chemicals or studying the effects of viruses on them.

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By Jason Dorrier — SingularityHub

If you look closely enough, Earth has rings. NASA estimates there are some 500,000 pieces of space debris in orbit. Space junk, traveling up to ten times the speed of a bullet, endangers satellites and spacecraft—and it is very, very hard to remove. A team of scientists, however, think they have a way: Lasers.

A recent paper by Tokyo’s Riken institute proposes using a telescope on the International Space Station (ISS) to track small bits of space junk. A laser on the telescope would target and zap the junk, sending it crashing into the atmosphere, where it would vaporize—no longer a threat to humans or satellites. Read more

Can an emotional component to artificial intelligence be a benefit?

Robots with passion! Emotional artificial intelligence! These concepts have been in books and movies lately. A recent example of this is the movie Ex Machina. Now, I’m not an AI expert, and cannot speak to the technological challenges of developing an intelligent machine, let alone an emotional one. I do however, know a bit about problem solving, and that does relate to both intelligence and emotions. It is this emotional component of problem solving that leads me to speculate on the potential implications to humanity if powerful AI’s were to have human emotions.

Why the question about emotions? In a roundabout way, it has to do with how we observe and judge intelligence. The popular way to measure intelligence in a computer is the Turing test. If it can fool a person through conversation, into thinking that the computer is a person, then it has human level intelligence. But we know that the Turing test by itself is insufficient to be a true intelligence test. Sounding human during dialog is not the primary method we use to gauge intelligence in other people or in other species. Problem solving seems to be a reliable test of intelligence either through IQ tests that involve problem solving, or through direct real world problem solving.

As an example of problem solving, we judge how intelligent a rat is by how fast it can navigate a maze to get to food. Let’s look at this in regards to the first few steps in problem solving.

Continue reading “Robotic EQ” »

Adam Rothstein | Motherboard
“In the city of the future, trains would rocket across overhead rails, airplanes would dive from the sky to land on the roof, and skyscrapers would stretch their sinewed limbs into the heavens to feel the hot pulse of radio waves beating across the planet. This artistic, but unbridled enthusiasm was the last century’s first expression of wholesale tech optimism.” Read more

by Otto E. Rossler, Faculty of Mathematics and Science, University of Tübingen, 72076 Tübingen, Germany

When you are doing this picturing job, you will directly get close to Einstein’s heart. He only did not yet have this special sentinel available in 1907. Noether’s ultra-hard result of 1917 came 2 years in the wake of Einstein’s opus maximum that is being celebrated this year.

I need your kind help to improve on the following finding: “Noether’s Theorem + Einstein Equivalence Principle = c-global.” I have 5 steps to offer so far, the sixth would be your initiative.

Continue reading “Dear young Physicists: Please, picture a frictionless Wheel that is lowered reversibly in Gravity” »

Quoted: “I recall reading somewhere that “Ethereum is to Bitcoin as an iPhone is to a calculator”, which is a pretty good analogy. Bitcoin proved to us that it was possible to keep a tamper-proof system synchronised across the globe. There really is no reason the same system can’t be applied to other problems in the same way we apply normal computers to them.

Ethereum is a single computer spread out over the internet, processing the information we all feed it together. I guess you could call it a ‘shared consciousness’ if you wanted to.

In this computer, information cannot be suppressed. In this computer, ideas and trust rule. Work and reputation are visible and independently verifiable. Anyone can contribute and everyone is automatically safe. Collaboration will overcome privatisation as people work together to build an open network of ideas contributing to the betterment of us all. They are calling it internet 3.0. And though web 2.0 was a thing in some ways, I think we’ll look back at everything up until this point as the first internet. The internet we built by adapting old communication lines into new ways of communicating. The internet we built when we were still used to centralising responsibility for things.”

Read the article here > http://pospi.spadgos.com/2014/11/30/injustice-ethereum-and-t…naissance/

Kyle Vanhemert | WIRED
“Your computer isn’t a person, but as psychological studies have shown, you often can’t help but treat it like a one. “ Read more

By Vivek Wadhwa — SingularityHub

Ray Kurzweil made a startling prediction in 1999 that appears to be coming true: that by 2023 a $1,000 laptop would have the computing power and storage capacity of a human brain. He also predicted that Moore’s Law, which postulates that the processing capability of a computer doubles every 18 months, would apply for 60 years — until 2025 — giving way then to new paradigms of technological change.

Kurzweil, a renowned futurist and the director of engineering at Google, now says that the hardware needed to emulate the human brain may be ready even sooner than he predicted — in around 2020 — using technologies such as graphics processing units (GPUs), which are ideal for brain-software algorithms. He predicts that the complete brain software will take a little longer: until about 2029. Read more

Keith Kirkpatrick | Communications of the ACM
“‘There’s this whole realization that if news organizations are to attract an audience, it’s not going to be by spewing out the stuff that everyone else is spewing out,’ says David Herzog, a professor at the University of Missouri …‘It is about giving the audience information that is unique, in-depth, that allows them to explore the data, and also engage with the audience.’” Read more