Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI

Artificial intelligence (AI) technology has the potential to boost productivity but increase wealth inequality and wipe out millions of jobs, a research report by the White House claimed on Tuesday. With an increasing number of industries set to be affected by automation technology in the coming years, jobs could be displaced — a fear that has been voiced by academics and business leaders. Auto companies are developing driverless cars, and factories are seeing an increased use of robotics.

Because AI is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of AI will be felt unevenly through the economy. Some tasks will be more easily automated than others, and some jobs will be affected more than others — both negatively and positively.

Researchers around the world have given varying estimates about the size of potential job losses. One recent estimate by Forrester suggests 6 percent of jobs in the next five years could be wiped out thanks to AI. The White House report cites a 2013 study from Oxford University suggesting that 47 percent of U.S. jobs are at risk because of AI. The report suggests that lower-skilled and less-educated workers could feel the heat the most. Overall, the White House report advocates a three-pronged approach to preparing for a future remade by AI that includes investing in AI for its benefits, training Americans for the jobs of the future and helping workers make the transition to new positions.

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A column on #transhumanism I did for Flaunt:

Are you ready for the future? A Transhumanist future in which everyone around you—friends, family, and neighbors—has dipped into the cybernetic punch bowl? This is a future of contact lenses that see in the dark, endoskeleton artificial limbs that lift a half-ton, and brain chip implants that read your thoughts and instantly communicate them to others. Sound crazy? Indeed, it does. Nevertheless, it’s coming soon. Very soon. In fact, much of the technology already exists. It’s being sold commercially at your local superstore or being tested in laboratories right now around the world.

We’ve all heard about driverless test cars on the roads and how doctors in France are replacing people’s hearts with permanent robotic ones, but did you know there’s already a multi-billion dollar market for brainwave-reading headsets? Using electroencephalography (EEG) sensors that pick up and monitor brain activity, NeuroSky’s MindWave can attach to Google Glass and allow you to take a picture and post it to Facebook and Twitter just by thinking about it. Other headsets allow you to play video games on your iPhone with only your thoughts as well. In fact, a few months ago, the first mind-to-mind communication took place. A researcher in India projected a thought to a colleague in France, and using their headsets, they understood each other. Telepathy went from science fiction to reality, just like that.

The history of cybernetics—sometimes used to describe robotic implants, prosthetics, and cyborg-like enhancements in the human being and its experience—has come a long way since scientists began throwing around the term in the 1950s. What a difference a generation or two makes. Today a thriving pro-cyborg medical industry is setting the stage for trillion-dollar markets that will remake the human experience. Five million people in America suffer from Alzheimer’s, but a new surgery that involves installing brain implants is showing promise in restoring people’s memory and improving lives. The use of medical and microchip implants, whether in the brain or not, are expected to surge in the coming years. NBC News recently reported that many Americans will likely have chip implants within a decade’s time. It’s truly a new age for humans.

Standing proud at the forefront of all this change is the fascinating biohacker culture, where extreme inventors and innovators are leading the way by sticking RFID tracking chips in their bodies, permanent wireless headphones near their eardrums, and magnets in their fingers.

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Even in the best case, automation leaves the first generation of workers it displaces in a lurch because they usually don’t have the skills to do new and more complex tasks, Mr. Acemoglu found in a paper published in May.

Robert Stilwell, 35, of Evansville, Ind., is one of them. He did not graduate from high school and worked in factories building parts for tools and cars, wrapping them up and loading them onto trucks. After he was laid off, he got a job as a convenience store cashier, which pays a lot less.

“I used to have a really good job, and I liked the people I worked with — until it got overtaken by a machine, and then I was let go,” he said.

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Smile Vector is a Twitter bot that can make any celebrity smile. It scrapes the web for pictures of faces, and then it morphs their expressions using a deep-learning-powered neural network. Its results aren’t perfect, but they’re created completely automatically, and it’s just a small hint of what’s to come as artificial intelligence opens a new world of image, audio, and video fakery. Imagine a version of Photoshop that can edit an image as easily as you can edit a Word document — will we ever trust our own eyes again?

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Even the robots are getting involved in science smile

It looks like the folks at CellAge are using robots to help them with their research and you can get one of these awesome “Marty” robots too when you support their project at Lifespan.io.

You can check out the campaign here at Lifespan.io:

https://www.lifespan.io/campaigns/cellage-targeting-senescent-cells-with-synthetic-biology/

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Waymo, the newly-minted Alphabet company that was previously Google’s self-driving car project, has a new addition to its vehicle fleet: 100 Chrysler Pacifica hybrid minivans, which were produced by Fiat Chrysler specifically for the purpose of making them fully autonomous using Waymo’s tech, onboard computer power, sensors and telematics. The 100 new cars will join Waymo’s other self-driving vehicles in active service on public roads for more testing starting early next year.

These vehicles were created through a close partnership between Waymo and FCA that actually saw engineering teams from both companies co-located at a Michigan engineering site, and testing of tech through the development process happened both in Chelsea, Michigan, and Yucca, Arizona on the FCA side, and at Waymo’s own test facilities in California.

While the Chrysler Pacificas used are based on the 2017 production model that consumers can buy, changes were made to the vehicles’ electrical, powertrain and structural systems, as well as to the vehicle chassis itself, in order to make them better suited for using Waymo’s tech. This results in a much tighter integration than if the Alphabet company had just purchased Chrysler vehicles off the line and done their own aftermarket modifications on stock vehicles. Still, from project outset to these being ready to enter service took only six months, according to FCA.

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From navigating turbulence, to sleeping midflight, to soaring without a sound, animals’ flight adaptations are helping scientists design better flying robots.

Airborne drones and the animals they mimic are featured in 18 new studies published online Dec. 15 in the journal Interface Focus. This special issue is intended “to inspire development of new aerial robots and to show the current status of animal flight studies,” said the issue’s editor, David Lentink, an assistant professor of mechanical engineering at Stanford University in California.

Though humans have been building flying machines since the 18th century, these new studies revealed that there is still much to be learned from looking closely at how birds, insects and bats take flight, keep themselves aloft and maneuver to safe landings. [Biomimicry: 7 Clever Technologies Inspired by Nature].

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According to recent studies, the Moon houses an abundance of precious minerals on its surface, and an estimated 6 billion tons of water ice at its poles. In particular, water can be broken down into oxygen and hydrogen to produce efficient rocket fuel. With a fuel station established in space, the world will witness a revolution in the space transportation system.

To achieve this, ispace is developing micro-robotic technology to provide a low-cost and frequent transportation service to and on the Moon, conduct lunar surface exploration to map, process and deliver resources to our customers in cislunar space.

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We all become accustomed to the tone and pattern of human speech at an early age, and any deviations from what we have come to accept as “normal” are immediately recognizable. That’s why it has been so difficult to develop text-to-speech (TTS) that sounds authentically human. Google’s DeepMind AI research arm has turned its machine learning model on the problem, and the resulting “WaveNet” platform has produced some amazing (and slightly creepy) results.

Google and other companies have made huge advances in making human speech understandable by machines, but making the reply sound realistic has proven more challenging. Most TTS systems are based on so-called concatenative technologies. This relies upon a database of speech fragments that are combined to form words. This tends to sound rather uneven and has odd inflections. There is also some work being done on parametric TTS, which uses a data model to generate words, but this sounds even less natural.

DeepMind is changing the way speech synthesis is handled by directly modeling the raw waveform of human speech. The very high-level approach of WaveNet means that it can conceivably generate any kind of speech or even music. Listen above for an example of WaveNet’s voice synthesis. There’s an almost uncanny valley quality to it.

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