Lifeboat Foundation

So much talk about AI and robots taking our jobs. Well, guess what, it’s already happening and the rate of change will only increase. I estimate that about 5% of jobs have been automated — both blue collar manufacturing jobs, as well as, this time, low-level white collar jobs — think back office, paralegals, etc. There’s a thing called RPA, or Robot Process Automation, which is hollowing out back office jobs at an alarming rate, using rules based algorithms and expert systems. This will rapidly change with the introduction of deep learning algorithms into these “robot automation” systems, making them intelligent, capable of making intuitive decisions and therefore replacing more highly skilled and creative jobs. So if we’re on an exponential curve, and we’ve managed to automate around 5% of jobs in the past six years, say, and the doubling is every two years, that means by 2030, almost all jobs will be automated. Remember, the exponential math means 1, 2, 4, 8, 16, 32, 64, 100%, with the doubling every two years.

We are definitely going to need a basic income to prevent people (doctors, lawyers, drivers, teachers, scientists, manufacturers, craftsmen) from going homeless once their jobs are automated away. This will need to be worked out at the government level — the sooner the better, because exponentials have a habit of creeping up on people and then surprising society with the intensity and rapidity of the disruptive change they bring. I’m confident that humanity can and will rise to the challenges ahead, and it is well to remember that economics is driven by technology, not the other way around. Education, as usual, is definitely the key to meeting these challenges head on and in a fully informed way. My only concern is when governments will actually start taking this situation seriously enough to start taking bold action. There certainly is no time like the present.

It wouldn’t be #MayTheFourth without some awesome Star Wars news.

Manned, long-term, deep space missions are an exciting prospect, but one that remains in the realm of distant possibilities–particularly because we don’t have all the technological innovations needed to make it happen.

One major consideration is the time it takes to reach the destination. Mars, which is at the top of various space programs’ go-to destinations for manned missions, is about six months if travel time away from Earth. If we wanted to explore even further, keep in mind that New Horizons, the fastest spacecraft to leave Earth, took nine and a half years to reach Pluto.

Science fiction conveniently sidesteps this challenge by putting the space explorers into deep sleep–a state of suspended animation. But slowing the human metabolism down while ensuring that a person will stay alive for extended periods is a lot easier said than done.

Continue reading “A Real Life ‘Hibernation Chamber’ is Being Made For Deep Space Travel” »

An international team of astronomers led by Leiden University has discovered what may be a “toddler” exoplanet. Orbiting a young binary star system called CS Cha about 538 light years from Earth in the constellation of Chameleon, the object may be less than two million years old and is still growing thanks to the dust disc that it inhabits.

Astronomical discoveries aren’t always eureka moments. Because telescopes are essentially gigantic cameras that spend their careers snapping pictures of the heavens, there’s always a huge library of images to be gone over years or even decades after they were taken.

Such is the case of the Leiden team who were studying CS Cha and its dust disc using the Spectro-Polarimetric High-contrast Exoplanet REsearch instrument (SPHERE) on the European Very Large Telescope in Chile. At only about two or three million years old, the T Tauri-type binary star system is very young and consists of two very small stars less than 30.6 AU (4.6 billion km, 2.8 billion miles) apart. These stars orbit a common center of gravity, and are surrounded by a disc of dust and gas about 55 AU across.

Google just demoed a 100% natural-sounding AI that scheduled an appointment with a live human on the phone who didn’t know she was talking to a machine.

The government of the Democratic Republic of Congo declared an outbreak of Ebola hemorrhagic fever, a rare and deadly disease, on Tuesday, the World Health Organization reported. The declaration came after laboratory results confirmed two cases of the disease in the province of Bikoro in the northwestern part of the country.

Ebola virus disease, which most commonly affects people and nonhuman primates (monkeys, gorillas and chimpanzees), is caused by one of five Ebola viruses. The virus is transmitted to people from wild animals and spreads in the human population through human-to-human transmission. The average case fatality rate is around 50%.

A government statement released Tuesday states that the Ministry of Health has “taken all necessary measures to respond promptly and effectively to this new epidemic of Ebola in the DRC’s national territory”.

A new model of stellar death shows our low-mass star has enough juice to produce a beautiful ring of gas and dust before winking out.

The US Department of Energy will fund the most sensitive search yet for theorized dark matter particles. It will sit over a mile underground, in a nickel mine near the Canadian city of Sudbury, according to a release.

The proposed Super Cryogenic Dark Matter Search at SNOLAB, or SuperCDMS SNOLAB, would be a detector held at near absolute zero that would be sensitive enough to detect the elusive dark matter with silicon and germanium atoms. It joins a long line of other experiments hunting for “weakly interacting massive particles,” or WIMPs, the most popular dark matter particle candidate.

Throughout the universe, there exist hints of unaccounted-for mass. Galaxies rotate too quickly at their edges, and the seemingly empty regions beside clusters of colliding galaxies warp the shape of space around them as if there were stuff there. The most popular solution to solve this mystery are WIMPs, particles that interact too weakly with regular matter to be detected by our telescopes or any other observing equipment.

Continue reading “The US Will Fund Another Super-Sensitive and Expensive Dark Matter Experiment” »

Take a listen to the recordings. That’s an AI doing that.

A long-standing goal of human-computer interaction has been to enable people to have a natural conversation with computers, as they would with each other. In recent years, we have witnessed a revolution in the ability of computers to understand and to generate natural speech, especially with the application of deep neural networks (e.g., Google voice search, WaveNet). Still, even with today’s state of the art systems, it is often frustrating having to talk to stilted computerized voices that don’t understand natural language. In particular, automated phone systems are still struggling to recognize simple words and commands. They don’t engage in a conversation flow and force the caller to adjust to the system instead of the system adjusting to the caller.

Today we announce Google Duplex, a new technology for conducting natural conversations to carry out “real world” tasks over the phone. The technology is directed towards completing specific tasks, such as scheduling certain types of appointments. For such tasks, the system makes the conversational experience as natural as possible, allowing people to speak normally, like they would to another person, without having to adapt to a machine.

Continue reading “Google Duplex: An AI System for Accomplishing Real World Tasks Over the Phone” »