This Short-Lived Political Party Embraced Socks With Sandals – JSTOR Daily

Policing womens fashion has always been a modern pastime, from making fun of Marie Antoinettes hair to pushing strict dress codes at school. But men arent always exempt from attempts to restrict clothing, writes Barbara Burman. Britain once had an entire political party devoted to reforming the way men dresseda party that had ties to the eugenics movement.

It was called the Mens Dress Reform Party (MDRP), and it came out of a broader call for health in 1929. At the time, the heavy suit reigned supreme. Members of the MDRP wanted liberation from dark, tightly-knit textiles, and they sought it in clothing that looked downright Elizabethan.

The Mens Dress Reform Party endorsed loose clothes, shorts or breeches, high socks, and sandals.

Mens dress is ugly, uncomfortable, dirty (because unwashable), unhealthy, wrote one supporter. The solution was to ditch pants, hats, closed-toe shoes, and ties. Instead, the MDRP endorsed loose clothes, shorts or breeches, high socks, and sandals. These relatively laid-back outfits, complete with open shirts and fabrics like silk and linen, were supposed to improve the health and streamline design.

But it didnt quite work. As new fabrics entered the market and tailored clothing became even more mass-produced, writes Burman, the MDRP failed to notice that men, too, followed fashion. The amateurish garments produced by party members couldnt hold a candle to mens clothing. Party members were repeatedly photographed in garments of their own design which appeared fussy or amateur in cut, writes Burman. The new outfits didnt project the masculine authority that was embodied in other clothes, she adds, or underscore consumption like more tailored garments.

MDRP members doubled down, creating new arguments for their clothes. It wasnt fair that women got to wear loose garments, they claimed. Why should men have fewer options? But there was an even more unpalatable argument for dress reform: eugenics. If superiority was based on race, then the chosen race must be as strong and healthy as possible. Clothing could make men healthier and more attractive, increasing the chance that the purer races reproduced and prospered.

Viewed through modern eyes, the garments beloved by mens dress reformers bear an unfortunate resemblance to the knee-socked, shorts-centered uniforms of the Hitler Youth. For Burman, its time to consider how philosophies of race like dress reform may have influenced design. Ultimately, she writes, the movement was doomed to fail because it never really found its voice. Instead, it adopted clothing that either looked juvenile or womanlyand its ambiguous vision of pedantic concern for hygiene and moments of flamboyance never really caught on. The party folded in 1940.

The movements legacy can still be seen today, though. Next time you see a guy rocking socks, Birkenstocks, and a drug rug, or extolling the virtues of sustainable fabrics, its worth thinking of the fashion fad that never really came to be.

By: Barbara Burman

Journal of Design History, Vol. 8, No. 4 (1995), pp. 275-290

Oxford University Press on behalf of Design History Society

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Ecosystem study unlocks the mystery of black cod survival – Alaska Public Radio Network

A juvenile black cod is tagged and released back into the ocean. (NOAA photo)

Over the past couple of decades black cod or sablefish has become one of Southeast Alaskas most commercially-important species. Longliners target them in deep waters off the continental shelf, during the same season as halibut.

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Although stocks are strong, biologists dont fully grasp black cod population ecology. A research partnership in Sitka hopes to change that.

Just about all commercially-utilized species in Alaska are studied intensively, and black cod are no different. There are fisheries surveys that go out and count and measure fish, and determine their age. And there are landings tons of black cod sampled by state biologists at the dock.

But in one very important way, black cod are different from, say, salmon. Jamal Moss is a research fisheries biologist with NOAAs Auke Bay Laboratories.

Black cod abundance doesnt seem to be related to the number of spawning adults out there, Moss said.

So what makes it a good year for black cod or, in Mosss words how do the stars align to increase the chances that young black cod will grow to maturity?

All signs point to that happening during their first year of life in the ocean, Moss said.

Moss is back in Sitka where hes teamed up with the Sitka Sound Science Center to survey the ecosystem that produces black cod. Its called the Gulf of Alaska Assessment.

Basically we go out there and measure the physical properties of the ocean. Temperature. We also look at phytoplankton the small plants that live in the ocean as well as zooplankton, larval marine fish, juvenile marine fish that are not larvae anymore, but are free swimming, and everything else we catch, Moss said. And that could range from jellyfish all the way up the line to salmon sharks and most recently, Pacific sunfish.

Sunfish? More on that in a moment. Moss believes that the missing piece to understanding black cod survival is somewhere in the ocean environment especially the kind of food, and the quality, that the juvenile fish need to survive.

As school children school children in Alaska anyway were taught all about the life cycle of salmon. And black cod, which are bottom dwellers, seem remote and mysterious by comparison. But it turns out that black cod have a fascinating beginning.

After they hatch the larvae rise to the surface and they actually spend most of their first year in shallow waters out in the ocean, but at shallow depths, lets say the top three or four fathoms and feed on plankton and other marine fish and critters, Moss said. And then they move closer to shore and typically rear in near-shore habitats before moving out into deeper water.

In Sitka, one of these black cod nurseries is St. John the Baptist Bay, near Salisbury Sound.

The objective of the assessment and its companion tagging study is better management of an important commercial species, but Moss said the bonus is a deeper knowledge of the changing ocean environment, and how it affects all species.

And the ocean is changing. Beginning in 2014 oceanographers detected a massive area of the Pacific Ocean that remained at higher-than-normal temperatures, and is just now dissipating. Nicknamed The Blob, the phenomenon was created by a rare combination of ocean conditions, rather than by climate change. Nevertheless, Mosss surveys during The Blob produced an atypical data set.

We had pomfret, which are a pelagic fish that are typically offshore. We saw those fish come inshore, Moss said. They were eating a lot of the juvenile rockfish Pacific Ocean perch in particular, in 14 and 15. We also saw Pacific sunfish 800-pound fish that we were bringing on deck at times in our trawls. They dont eat very high in the food chain they mostly eat jellies and other things but that was very interesting. And we saw more blue sharks come up into the waters.

All of which can affect the growth and survival of black cod. Moss said we need to understand what tradeoffs are happening in the ecosystem, and if they favor traditional commercial species, or other fish that are important ecologically, but maybe not commercially.

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As Indonesia’s Leuser Ecosystem faces multiple threats, local resistance grows – Mongabay.com

Indonesias Leuser Ecosystem one of the largest expanses of tropical rainforest in the world and an ecological hotspot celebrated as the last place on earth where orangutans, rhinos, tigers and elephants coexist in the wild faces mounting pressure from agriculture, industry and infrastructure expansion.

Earlier this month, the UNESCO World Heritage Committee voted unanimously to retain the Tropical Rainforest Heritage of Sumatra (THRS) on its List of World Heritage in Danger. This designation is reserved for sites facing serious and specific dangers such as large-scale public or private projects that threaten the future existence of the property. The THRS, a tract of globally significant rainforest that includes part of the Leuser Ecosystem as well as other forests on Indonesias main western island of Sumatra, was in 2004 recognized as a World Heritage site for its extraordinary biodiversity, but has been inscribed on the danger list since 2011.

Although the Leuser Ecosystem is recognized globally and at the national level for its ecological significance, the Aceh provincial governments 2013 land-use plan does not mention the ecosystem. Around 87 percent of the Leusers 2.6 million hectares (~10,000 square miles) falls within Aceh (with the rest in North Sumatra), and officials the semi-autonomous province argue they have the right to develop the area.

Encroachment and illegal settlement, illegal wildlife poaching, roading, industrial development including ongoing proposals for geothermal plants and hydropower dams are still taking place, said Panut Hadsiswoyo, director of the Sumatra-based Orangutan Information Center at a July 4 meeting of World Heritage Committee meeting in Poland.

Planned projects within the ecosystem are also facing challenges closer to home.

One such development is a hydroelectric power plant in Tampur, Gayo Lues Regency, part of the Leuser Ecosystem.

The planned 428-megawatt dam will be 173.5 meters (570 feet) high, with a reservoir capacity of 697.4 million cubic meters (24.6 billion cubic feet). The plans also call for 4,000 hectares (15.4 square miles) to be flooded, and the construction of a network of high-voltage transmission lines.

Although 4,000 hectares of the Leuser Ecosystem will end up under water and dozens of families will have to be relocated, the committee responsible for reviewing environmental impact assessments (EIAs) in Aceh has approved the project.

In a Dec. 28, 2016 hearing, the Aceh EIA Analysis Commission stated that hydroelectric development plans in the regencies of Aceh Tamiang, Langsa City, East Aceh and Gayo Lues were acceptable and environmentally suitable, provided the documents be revised to reflect the advice of members of the technical team and the EIA commission.

The Tampur Dam faces opposition by Gayo Lues residents organized into the Forum of Caretakers of the Forest and the Harimau River (FPHSH), Pining. In a statement, forum chairman Aman Jarum called for a halt to the destruction of the Leuser for any reason.

There are no guarantees that projects carried out by foreigners do not include destructive activities. For the people of Pining, the forests are a part of life, said Jarum, who has previously sued Indonesias interior ministry, and Acehs governor and parliament, for not including the Leuser Ecosystem in the Aceh land-use plan.

Opposition to the dam underscores that the Leuser is not just a critical spot for wildlife. It also serves as a life-support system for some 4 million people in Aceh and North Sumatra.

According to Jarum, the proposed dam site is rich in plant and animal life, as well as serving as a valuable source of river fish. The project threatens the traditional wisdom and way of life of the local people, he said. This area is vulnerable to disasters if the forest is destroyed.

Jarum also questioned to where iconic animals like the Critically Endangered Sumatran elephant and tiger would be relocated. This area is home to numerous protected animals, he said.

The Orangutan Information Centers Hadsiswoyo also emphasized that construction of a high-capacity hydroelectric power plant will have negative impacts on both the people and animals in the area.

The livelihoods of the people of Gayo Lues, East Aceh and Aceh Temiang have traditionally relied on fish from the river system which will be dammed, Hadsiswoyo said. People also gather non-timber forest products like rattan and honey in the Tampur area.

Tampur is a key wildlife habitat within the ecosystem, especially for orangutans, elephants and Sumatran tigers, Hadsiswoyo added. If wildlife habitat is damaged, conflict between humans and wildlife will increase.

In addition to Tampur, a 180-megawatt hydropower dam is planned for South Aceh Regency. This project, known as Kluet 1, is the product of Chinese-Indonesian consortium PT Trinusa Energy Indonesia, with a total investment of 5.6 trillion rupiah ($420 million).

As planned, the Kluet dam will affect 443.79 hectares of protected forest in the subdistricts of Meukek, Sawang, Samadua, Tapaktuan and Central Kluet. The Kluet 1 Dam will also affect another 19.34 hectares of land not zoned as protected forest.

PT Trinusa Energy Indonesia just recently received from the Aceh forestry service a recommendation for a permit to use protected forests, for geological surveys, said Muhammad Nur, Aceh director of the Indonesian Forum for the Environment (Walhi). The fact on the ground is that this company is cutting trees on the riverbank to set up a base camp and helicopter landing pad, as well as rock drilling.

The South Aceh regent also granted PT Trinusa Energy a land-use permit in February 2016. However, the land-use planning law for South Aceh was not approved by the local parliament until September 2016. This, Nur explained, means the South Aceh regent issued a permit for Kluet 1 before the relevant legislation existed.

The Orangutan Information Center has found an orangutan population in area where the dam is planned. If the Kluet hydropower plant is built, orangutan habit in this area will be disturbed, said Hadsiswoyo.

Aceh province does need energy, but not necessarily a giant power plant, Hadsiswoyo argued, pointing to other countries that have moved away from building large hydroelectric dams. Better to build micro-hydro in large numbers. In addition to not disturbing the environment, it also doesnt depend on one source. Aceh also has other energy sources, such as wind or solar power, he said.

Land cleared to grow corn in the Mount Leuser National Park. Photo by Junaidi Hanafiah/Mongabay-Indonesia.

The Singkil Swamp, one of the region's deepest and most intact peat swamps, also faces encroachment. Photo by Junaidi Hanfiah/Mongabay-Indonesia.

The Singkil Swamp, one of the region's deepest and most intact peat swamps, also faces encroachment. Photo by Junaidi Hanfiah/Mongabay-Indonesia.

Land cleared in the Alas River area of the Leuser Ecosystem. Photo by Junaidi Hanafiah/Mongabay-Indonesia.

Encroachment in the Alas River area. Photo by Junaidi Hanafiah/Mongabay-Indonesia.

Land cleared to grow oil palm within the Leuser Ecosystem. Photo by Junaidi Hanafiah/Mongabay-Indonesia.

Land cleared to grow oil palm within the Leuser Ecosystem. Photo by Junaidi Hanafiah/Mongabay-Indonesia.

A controversial plan to build a geothermal plant in the heart of the Leuser appears to be on hold for now. Aceh Governor Irwandi Yusuf said in March that he would revoke the proposal, which involved re-zoning a core area of Mount Leuser National Park to allow a Turkish company to drill for geothermal energy there. Green groups are, however, awaiting a more binding commitment to definitively quash this project and other such proposals that may arise in the future.

For now, plans to build roads through Mount Leuser National Park also appear to be on hold.

In the meantime, other forms of encroachment and destruction continue. Geographical Information System (GIS) monitoring by green group Forest, Nature and Environment of Aceh better known by its Indonesian acronym Haka shows that Leuser lost more than 22,000 hectares of forest cover between January 2015 and April 2017, including more than 1,800 hectares in the first four months of this year.

Efendi Isma, spokesperson for Aceh Forest Coalition (KPHA) said perpetrators of illegal activities in the park must face sanctions: Law enforcement actions must be taken against encroachers. Otherwise, the perpetrators are free to open up land for oil palm, maize, rubber and other purposes.

This story was reported by Mongabays Indonesia team and was first published on our Indonesian site in a series of articles on June 12, July 4 and July 8, 2017.

FEEDBACK: Use this form to send a message to the author of this post. If you want to post a public comment, you can do that at the bottom of the page.

Banner image: Sumatran elephants (Elephas maximus sumatrensis). Photo by Rhett A. Butler/Mongabay.

Correction: this article has been updated to correctly spell Panut Hadsiswoyos name.

Article published by Isabel Esterman on 2017-07-17.

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As Indonesia's Leuser Ecosystem faces multiple threats, local resistance grows - Mongabay.com

Ray Fisher Shares Closer Look at Cyborg Justice League Action Figure – Screen Rant

Ray Fisher offers a closer look at Victor Stone/Cyborgs new action figure fromJustice League. After a brief appearance in Batman v Superman, the actor is joining the hero set of the DC Extended Universe properly this year in the ensemble epic alongside Gal Gadot (Wonder Woman), Ben Affleck (Batman), Superman (Henry Cavill), Jason Momoa (Aquaman) and Ezra Miller (The Flash).

Cyborg is brought to life by his own father, Dr. Silas Stone (Joe Morton), who accidentally merged one of the mysterious (and dangerous) Mother Boxes with his son in an effort to save him. In the pages of the comic books, the character is mostly associated with the Teen Titans, but theDCEUs version establishes him as one of the founding members of the League.

Fisher has recently posted a closer look on his characters Justice League action figure on his official Twitteraccount hyping up fans anticipation for his characters big on-screen splash and look. BORGLIFE is back in the buildingand this time I brought backup! #BORGLIFE #ForThePeople, he has written in the caption.

DC fans have been quite divided on the aesthetics of Cyborg since his first appearance in Dawn of Justice and the subsequent trailers for Justice League. Some did not necessarilylike how Fisher was integrated with Cyborgs mechanical part drawing comparisons to the look of Michael BaysTransformers. Although to be fair, its best to reserve final judgment until we actually see how the character looks like moving and fighting on the film.

Following Fishers debut as Cyborg in Justice League, he is slated to go off on his first solo adventure. The original timeline set by Warner Bros. positions the film for an April 2020 rollout, but development for it has been rather quiet and slow begging the question if the official schedule still sticks. Further, a recent rumor points to the film studio possibly reshuffling their releases with brand new launch dates for 2020 without the supposed April launch for the Cyborg standalone.

Nevertheless, we can expect more official news in the near future once Warner Bros. finally releases details regarding the aforementioned film. Before that, though, you can catch Fisher and the rest of the Justice League cast later this week in Comi-Con International: San Diego where Warner Bros. and DCEU will host a panel of Saturday at Hall H.

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Hit the Beach! Stunning NASA Views Show US Shores from Space … – Space.com

Calling all beach bums! If you're hitting the sandy shore of a lake or ocean this summer, then NASA has the video for you, one that stars stunning views of U.S. beaches from space.

"Summer is beach season in the Northern Hemisphere. But even if you're a regular at your local swimming hole, you probably haven't seen too many beaches from this perspective," Kathryn Hansen of NASA's Earth Observatory wrote in a video description. "This video from NASA Earth Observatory shows the satellite and space-station view of various shorelines across the United States. No sunblock necessary." [In Photos: The Best US Beaches of 2017]

The beach tour from space begins in Hawaii (because of course it would) and then moves across the U.S. with stops in Southern California, Central California, Idaho and Utah, Wisconsin, Michigan, Massachusetts, Virginia and North Carolina before ending up in Florida.

Hansen, who produced the video for NASA, used satellite imagery and data from the Landsat Earth observation program along with photos by astronauts on the International Space Station to create the beach tour.

Editor's note: Space.com senior producerSteve Spaletacontributed to this report.

Email Tariq Malik at tmalik@space.com or follow him@tariqjmalikandGoogle+.Follow us@Spacedotcom,FacebookandGoogle+.

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Sewage spill in Oxnard prompts closure of several beaches in the area – FOX 11 Los Angeles

(FOX 11) - Beach goers in Oxnard may not be able to enjoy the sand and surf for the next few days.

The Ventura County Environmental Health Division was notified by the City of Oxnard of a sewage discharge. According to city staff, approximately 219,000 gallons of sewage was discharged through a line one mile out in the ocean.

The discharge was the result of a power outage at the treatment plant. The discharge ceased at approximately 3 PM on July 16, 2017.

The City of Oxnard staff posted warning signs at points along Ormond Beach and Port Hueneme Beach Park. The signs will remain in place on Ormond Beach until Wednesday, July 19, 2017 or until sample results meet ocean water quality standards.

The Environmental Health Division advises the public to avoid contact with water in the posted areas. Any items that may have come in contact with this water should also be avoided. If contact occurs, wash thoroughly with soap and water.

Any shellfish on or from this area may have also been exposed to this contamination and should not be eaten. All sports harvested shellfish are under quarantine and consumers should not eat certain types of seafood (recreationally harvested bivalve shellfish, such as mussels, clams or whole scallops, or the internal organs of lobster orrock crab) from the Ventura County coastline.

For further information regarding this incident, please contact the City of Oxnard at 805/488-3517.

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Sewage spill in Oxnard prompts closure of several beaches in the area - FOX 11 Los Angeles

Advisories lifted at two local beaches – The Keene Sentinel

Two of the six Monadnock Region beaches placed under environmental advisories last week have been reopened, according to the N.H. Department of Environmental Services' beach advisory database.

Advisories were removed at Wares Grove Town Beach in Chesterfield and Camping Beach in Greenfield Saturday. Both beaches were retested Friday, according to the N.H. Department of Environmental Services' database.

Between July 13 and 14, six local beaches were closed due to high levels of fecal bacteria: Wares Grove, Camping Beach and Picnic Beach in Greenfield, Island Pond Public Beach in Stoddard, Sunset Town Beach in Harrisville and East Washington Beach in Washington.

As of Monday afternoon, advisories had not yet been lifted for Picnic Beach, Sunset Town Beach, East Washington Beach or Island Pond Public Beach, according to the database.

Picnic Beach will be resampled Tuesday. Sunset Town Beach, East Washington Beach and Island Pond Beach will be resampled Wednesday.

New test results for each beach will be available the day after testing is completed.

According to the N.H. Department of Environmental Services website, fecal bacteria can be caused by birds frequently returning to an area looking for a food source, typically because they have been fed by humans. The website encourages beachgoers not to feed birds or other wildlife they may encounter.

When present in a body of water, fecal bacteria and other bacteria can cause swimmers to become ill, the website notes.

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Tortured-artist robot trawls beaches, scrawling poems in the sand – Digital Trends

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Tortured-artist robot trawls beaches, scrawling poems in the sand - Digital Trends

Seaweed stench fouls Long Island beaches – Fox5NY

Point Lookout, NY (Fox5NY) - The ocean is quick way to cool off on a hot and humid day like today - but along parts of Long Island's South Shore - slimy and smelly seaweed is spoiling it for some swimmers.

"It's wet and it's gross," said one swimmer.

Another one couldn't recall the last time it was this bad.

"I'm sinking down to my knees in it. It's bad I don't like it," said Rob Humphries who lives in Point Lookout.

Marine biologists say nitrogen coming from the Bay Park Sewage Treatment Plant fuels the growth of seaweed in the bay which then pushes into the ocean.

"The combination of the warm weather, the heavy nutrient loading from back in the bay and then the physical movement of the water and tides is accumulating large amounts on the beaches," said Marine Biologist Dr. Christopher Gobler with Stony Brook University.

Experts says dead seaweed that releases sulfide fumes can be dangerous because it causes irritation.

The Town of Hempstead says their beaches are cleaned twice a day. Meanwhile, Nassau County is working with the Bay Park Sewage Treatment Plant to remove nitrogen discharge altogether.

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LISA will fly and listen for black holes eating each other – SYFY WIRE (blog)

Today, some bittersweet spacecraft news: The LISA Pathfinder mission is shutting down. Thats always a bit sad, but in this case, in sum, its actually good news: Thats because it accomplished all its goals. And even better, it means that a bigger, beefier mission will take its place! That mission, called LISA, was recently approved by the European Space Agency to continue its planning phase, aiming for a launch in 2034.

Why am I happy about this? Because LISA is the Laser Interferometer Space Antenna, and it will use what is essentially Star Trek technology to detect merging black holes all across the Universe.

So,yeah. How awesome is that? And, for a while, I feared it would never get off the ground. It hasnt yet, but the odds are looking much better now.

OK, you probably want a modicum of background here. Ill be glad to help.

Maybe youve read reports about LIGO, the Laser Interferometer Gravitational-Wave Observatory, which recently detected black holes merging for the third time. I wrote about that eventand gave a lot of background a couple of years ago when LIGO bagged its first black hole coalescence.

In a nutshell, one of the predictions of Einsteins Theory of Relativity is that when matter is accelerated it creates ripples in the fabric of spacetime, much as shaking a bedsheet up and down causes ripples in the fabric. These ripples are stronger if the objects are very massive, very dense and accelerated very rapidly.

You dont get more massive, more dense and more accelerated things in this Universe than two black holes at the very moment they eat each other.

There are a few ways this can happen. Probably the most common is from black holes that form when massive stars explode. If those stars are orbiting each other in a binary system, then, eventually, after both stars blow up, you get two black holes orbiting each other. As they emit gravitational waves those Einsteinian spacetime ripples they spiral in toward one another. Over a long time (usually billions of years), as the distance between them closes, they orbit faster and faster. Then, finally, accelerating each other to very nearly the speed of light, they merge into a single bigger black hole, emitting a fierce, sharp blast of gravitational waves.

These ripples in spacetime then move across the Universe at the speed of light. When they wash over our planet, they physically compress and expand space itself. The effect is incredibly tiny by the time these waves reach us: A typical ruler would only shrink or expand by a tiny fraction of the size of a proton! But these effects can be measured because we are very clever apes, we humans.

LIGO was built to find these ripples, and after decades of trying, it works! It can now feel the Universe shake as black holes collide.

But LIGO, as amazing as it is, isnt nearly as sensitive as whats possible. Enter LISA.

LISA is similar to LIGO, but itll be in space. There are lots of advantages to this. For example, LIGO is so sensitive it has to worry about individual oxygen atoms hitting its mirrors, distorting the signal. In space theres no air, so thats an improvement.

Also, this stretching of spacetime is easier to measure if you have a longer baseline. If your detector is short it only stretches and contracts a little bit, but if its 10 times longer the effect is 10 times bigger. LIGO has mirrors spaced a few kilometers apart, making it highly sensitive. Because LISA is in space, its detectors can be much farther apart. In fact, the plan right now is for the components to be separated by about 2.5 million kilometers!

If you want to think of it as sound (which it isnt, but the analogy isnt bad), LIGO can hear the loudest black hole mergers. LISA will hear the whispers. In fact, it should also be able to detect mergers between neutron stars and even white dwarfs, which are far quieter than their denser black hole brethren.

So, how does it work? LISA is actually three disc-shaped spacecraft, launched together on one rocket. They each have an onboard propulsion system that will move them to their final separation of several million kilometers, forming an equilateral triangle in roughly the same orbit as Earth, but 20 or so million kilometers away from us.

Like LIGO, LISA will use lasers. Each spacecraft will have onboard two lasers, each of which will fire at one of the other two spacecraft. Using a technique called interferometry, the distances between the spacecraft can be measured with utter precision:

But theres a problem with this. The spacecraft need to be able to measure their relative positions with incredible accuracy, so that the teeny tiny effects of a passing gravitational wave can be measured. But there are lots of forces in space that would totally wash that out. Tides from the Earth, Moon, and Sun, cosmic rays, solar wind and more would all be far stronger, moving the spacecraft around and ruining the measurements.

To overcome this, inside each laser assembly is a small, exquisitely crafted cube made of gold and platinum (yes, seriously; theyre very stable and that makes them useful). Each cube, called a test mass, is about 4.5 or so centimeters on a side and has a mass of about 2 kilograms. They are totally disconnected from the LISA spacecraft, untouched by it in any way, allowed to float completely freely. The tolerance is extreme: No force on the cube is allowed more than about that exerted by the weight of a bacterium.

See what I mean by Star Trek technology?

In this way, the cubes are freely floating in orbits around the Sun, and the spacecraft keep position around them. Using extremely sensitive sensors, each spacecraft keeps itself precisely aligned with the cube inside it, measuring their exact location at all times.

The cubes act as benchmarks for the spacecraft around them. As long as the cubes are allowed to move freely, then a gravitational wave passing through them would change their relative separation, allowing it to be detected. The spacecraft act like shields, preventing outside forces from affecting them really, these forces affect the spacecraft, which then use incredibly low-thrust engines to maintain their strictly controlled positions. If theres a force on the spacecraft, say the solar wind, then the thrusters counteract that to make sure the spacecraft stays perfectly centered around the cubes. And I do mean weak: It would take a thousand of these thrusters to generate the same weight as a piece of paper in your hand!

I like to think of all this using an odd analogy: curling. Thats a sport played on an ice lane where a player throws a heavy mass (called a stone) and tries to place it in a target area downrange. Other players, called sweepers, have brooms and they rapidly sweep the ice ahead of the stone, decreasing the friction and making sure the stones trajectory is true.

For LISA, the test masses are the stone, and the sweepers are the spacecraft. They never touch the stone, but they make sure its path is true.

Now, if a gravitational wave passes through the LISA spacecraft, the pattern of light created by the laser changes, and this can be measured with ridiculous accuracy. Even though they will be separated from each other by a distance several times greater than the distance of the Moon from Earth, they will measure their relative positions to an accuracy of a few trillionths of a meter. Yes, trillionths. For those who love words as much as I do, a trillionth of a meter is a picometer. Feel free to work that into your next conversation.

And, again, this exemplifies the idea of how astonishingly advanced this tech is.

This brings us back to LISA Pathfinder. We know all this technology needed for LISA will work because the European Space Agency successfully tested it using Pathfinder. It launched in late 2015 and was equipped with lasers, cubes and other bits of tech LISA will utilize to measure the whisper from colliding hyperdense cosmic objects. It was amazingly successful and completed its mission on June 30. Today it will be shut down, having paved the way for LISA to continue.

Im glad this is happening. Many years ago, NASA was partnered with the European Space Agency to help build LISA. I actually worked a bit on the Education and Public Outreach for the mission, writing up descriptions of how it worked and what it would do. But shortsighted budgetary decisions meant NASA had to pull out of the development, which upset me greatly at the time.

However, over time and with a lot of cajoling by scientists, the U.S. has rejoined the mission as a senior partner, with the ESA leading the way. Im very glad to see this. Now that LIGO has shown we can detect gravitational waves, and LISA Pathfinder has shown the advanced technology is possible, LISA itself will open the floodgates of data. It took a huge effort for LIGO to allow us to dip our toes in the water. Hopefully LISA will let us dive in.

My thanks to NASALISAStudy Scientist Dr. Ira Thorpe for talking to me about how the spacecraft measure their distances and clearing up a misconception I had about the test masses!

See the article here:

LISA will fly and listen for black holes eating each other - SYFY WIRE (blog)

Science up your Instagram feed with this new astronomy account – the Irish News


the Irish News
Science up your Instagram feed with this new astronomy account
the Irish News
An ESO spokesman said: We invite you to follow ESO to revel in spectacular vistas of the universe, taken with some of the most powerful telescopes in the world, to learn about the astounding discoveries that astronomers make, and to view life at ESO's ...

and more »

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Science up your Instagram feed with this new astronomy account - the Irish News

The hunt is on for planets around some of our closest neighboring stars – Astronomy Magazine

The Pale Red Dot team is coasting off the success of their discovery last year of a planet in the Proxima Centauri system system by casting its net even wider as the Red Dots campaign.

Whereas Pale Red Dot focused just on Proxima Centauri, Red Dots is looking toward Barnards Star and Ross 154 as well. These three stars will be held up to intense scrutiny by the team in the hunt for planets or in the case of Proxima, additional planets.

Barnards Star has been a popular target since the 1963 announcement by Swarthmore College professor Peter van de Kamp of a Jupiter-mass planet around it. His observations ended up discredited, as the telescope he used at Sproul Observatory had a flaw that caused some stars to appear to wobble when they were doing no such thing.

We are inviting anyone willing to collaborate to observe the stars' brightnesses and to join our campaign, Mikko Tuomi, a European Southern Observatory astronomer and Red Dots scientist, said in an email. We have already 1,700 brightness observations of Ross 154 from 5 different observers and as many as 2,500 brightness observations of Barnard's star from as many as 9 observers (Barnard's star is on the northern sky, so more accessible for US and European observers) using as many independent telescopes helping us in studying the variability of these stars in detail.

And one of the observatories participating isnt an optical telescope at all. Its the radio telescope at the Arecibo Observatory in Puerto Rico.

Planets can be detected in the radio spectrum because they disturb known radio emissions of the star (e.g., pulsars) or emit their own radio emissions, Abel Mendez, director of the Planetary Habitability Laboratory at Arecibo, says.

Mendez says that no planets have been found by radio telescopes beyond a handful of pulsar planets, but the team is hopeful.

Big short-periods planets in elliptical orbits around red dwarf stars are probably easier to detect since they might produce more interactions with the star (e.g., tides) to alter their flare patterns or frequencies, he says.

The Red Dots team is logging its progress on its website. All three stars are less than 10 light-years away, so detecting planets around them could make our corner of the universe seem a little less lonely.

Excerpt from:

The hunt is on for planets around some of our closest neighboring stars - Astronomy Magazine

Planets like Earth may have had muddy origins – Astronomy Now Online

This artists conception shows how families of asteroids are created. Credit: NASA/JPL-Caltech

Scientists have long held the belief that planets including Earth were built from rocky asteroids, but new research challenges that view.

Published in Science Advances, a journal of the American Association for the Advancement of Science, the research suggests that many of the original planetary building blocks in our solar system may actually have started life, not as rocky asteroids, but as gigantic balls of warm mud.

Phil Bland, Curtin University planetary scientist, undertook the research to try and get a better insight into how smaller planets, the precursors to the larger terrestrial planets we know today, may have come about.

Planetary Science Institute Senior Scientist Bryan Travis is a co-author on the paper Giant Convecting Mud Balls of the Early Solar System that appears in Science Advances.

The assumption has been that hydrothermal alteration was occurring in certain classes of rocky asteroids with material properties similar to meteorites, Travis said. However, these bodies would have accreted as a high-porosity aggregate of igneous clasts and fine-grained primordial dust, with ice filling much of the pore space. Mud would have formed when the ice melted from heat released from decay of radioactive isotopes, and the resulting water mixed with fine-grained dust.

Travis used his Mars and Asteroids Global Hydrology Numerical Model (MAGHNUM) to carry out computer simulations, adapting MAGHNUM to be able to simulate movement of a distribution of rock grain sizes and flow of mud in carbonaceous chondrite asteroids.

The results showed that many of the first asteroids, those that delivered water and organic material to the terrestrial planets, may have started out as giant convecting mud balls and not as consolidated rock.

The findings could provide a new scientific approach for further research into the evolution of water and organic material in our solar system, and generate new approaches to how and where we continue our search for other habitable planets.

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Planets like Earth may have had muddy origins - Astronomy Now Online

‘Back to the Moon for Good’ at Emera Astronomy Center – Bangor Daily News

Thursday, July 20, 2017 2 p.m. to 3 p.m.

Location: Emera Astronomy Center, 167 Rangeley Road, Orono, Maine

For more information: 207-581-1341; astro.umaine.edu

ORONO Back to the Moon for Good will be shown 2-3 p.m. Thursday, July 20, Emera Astronomy Center, 167 Rangeley Road.

Immerse yourself in a race to return to the Moon 40 years after the historic Apollo landings. See how a competition among privately funded international teams is ushering in a new era of lunar exploration, and the new opportunities for exploration of our nearest neighbor in space. Learn about the Moons resources and discover what humanitys future on the Moon might hold. Narrated by Tim Allen.

The program includes a look at the night sky as viewed from Maine.

FMI: (207) 581-1341 or http://www.astro.umaine.edu

This post was contributed by a community member. Submit your news

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'Back to the Moon for Good' at Emera Astronomy Center - Bangor Daily News

2 Top Stocks for Artificial Intelligence Investors – Motley Fool

There are plenty of companies you could choose from if you wanted to benefit from the growing artificial intelligence (AI) market. I won't get into all of them, but it's safe to say that nearly all the big players in the tech sector -- like Apple, Microsoft, IBM, Intel, Facebook, and a slew of others -- believe AI could reach a market size of $59.8 billion by 2025.

But that's not helpful if you want to know which companies are making the biggest moves in the space, and which have the most potential to benefit. To help answer that, we need to take a closer look at NVIDIA Corporation (NASDAQ:NVDA) and Alphabet (NASDAQ:GOOG) (NASDAQ:GOOGL). These companies may differ in their approach to AI, but both deserve to be at the top of the list for AI investments. Here's why.

Image source: Getty Images.

NVIDIA is basically a tech investor's dream at the moment, mainly because its share price has gained more than 200% over the past 12 months. NVIDIA makes graphics processors that are used in computers for things like high-performance gaming, but the company has been taking its graphics processing unit (GPU) know-how and wisely applying it to AI businesses as well.

For example, the company has built a self-driving supercomputer, called Drive PX 2, that processes a massive amount of image information so that semi-autonomous cars can perceive the world around them. Audi, Toyota, Tesla, and others are already using the company's AI tech for their semi-autonomous vehicles, and NVIDIA believes its total addressable market for AI-powered self-driving cars is about $8 billion 2025.

In fact, NVIDIA believes that its total addressable market for all AI will be around $40 billion between 2020 and 2025. That includes everything from self-driving cars to AI cities and GPU-powered deep-learning data centers.

The company's data-center segment is a growing AI opportunity because more and more companies are looking to GPUs to power intense image processing on their servers. Goldman Sachs analyst Toshiya Hari thinks the company already holds nearly 90% of the market for chips used for computer-training tasks, a part of the machine-learning and AI markets.

One thing investors should know is that NVIDIA's "top AI stock" designation comes from the company's potential in the space, and not necessarily from its current revenues. In fiscal first-quarter 2018, the company brought in just 7% of its total revenues from the automotive market (which includes its Drive PX system) and about 21% from its data-center business. Meanwhile, GPU sales for gaming accounted for about 53% of revenue.

But the potential here for NVIDIA is too large to ignore. Graphics processing is an integral part of many AI learning systems, and NVIDIA's chips are some of the best in the business. With automakers already betting on the company's AI computer and tech companies looking to NVIDIA for their AI data centers, it's only a matter of time before the company's AI revenues follow its opportunities.

Like NVIDIA, Alphabet is pursuing AI in several different ways, but one of the most important is using it to serve up better ads to its users.

Alphabet's Google debuted its Smart Bidding learning system last year, which uses machine learning to better automate bids on AdWords and DoubleClick. Google said at the time that the system accounts for many more factors than a person or team could determine, in order to make ads more efficient. The importance of serving up the most relevant ads becomes clear when you consider that Google is expected to earn about 78% of all U.S. search ad revenue this year, and more than 80% by 2019, according to data from eMarketer.

But Google has been very persistent in expanding its AI footprint in other areas as well. According to Recode, the company has acquired at least 20 AI companies over the past few years. One of those is DeepMind, which Google plans to use to do things like cure diseases, and find new ways for companies to reduce energy consumption.

And, of course, the company is using its AI to build some of the most advanced driverless cars. Google spun out its self-driving car business into its own company, called Waymo, late last year, but it still falls under the broader umbrella of Alphabet companies. The opportunity for Alphabet here is in using AI-powered self-driving technology to earn revenues from self-driving car services, and in selling the technology to other companies to implement in their own vehicles. Waymo is already testing its technology with public riders in Phoenix, as part of a partnership with Fiat Chrysler.

Additionally, Google is using its AI to improve its voice assistant, called Google Assistant. Google Assistant now comes on newer versions of Android phones and in the company's smart home speaker, Google Home. Smart home speakers are expected to become a $13 billion market by 2024.

But Alphabet's biggest opportunity in AI remains in how it's used to sell more ads. Google's ad revenue accounted for 88% of Alphabet's total revenue in 2016, so it's very likely that the company will continue to apply its AI efforts to keep that trend going.

Remember that the artificial intelligence market is just getting started, which means that there's tons of time to reap the benefits, but it could also be a while before the market takes off. Investors looking to Alphabet and NVIDIA for AI gains will likely get them -- but should plan for the benefits to come over the next several years, as opposed to the next few quarters.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Teresa Kersten is an employee of LinkedIn and is a member of The Motley Fool's board of directors. LinkedIn is owned by Microsoft. Chris Neiger has no position in any stocks mentioned. The Motley Fool owns shares of and recommends Alphabet (A and C shares), Apple, Facebook, Nvidia, and Tesla. The Motley Fool recommends Intel. The Motley Fool has a disclosure policy.

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2 Top Stocks for Artificial Intelligence Investors - Motley Fool

Artificial Intelligence, Explained – Seeking Alpha

From personal assistants like Siri, to movie suggestions on Netflix, artificial intelligence (NYSE:AI) is rapidly becoming ubiquitous in everyday life. As this technology continues to advance in capability and prevalence, we sought to explore AI and several closely related subtopics: machine leaning, deep learning, and neural networks.

What are the Differences between Artificial Intelligence, Machine Learning, and Deep Learning?

While artificial intelligence (AI), machine learning (ML), and Deep Learning (NYSE:DL) are often used interchangeably, there are several key differences. One way to visualize the relationship is through a series of concentric circles. AI is the macro topic which encompasses the entire field of study, while ML is a subtopic within AI. DL is a further refinement of ML and represents the most cutting edge of AI applications that are being used today.1

At a basic level, artificial intelligence is the concept of machines accomplishing tasks which have historically required human intelligence.1 AI can be broken down into two distinct fields:

Applied AI: Machines designed to complete very specifics tasks like navigating a vehicle, trading stocks, or playing chess as IBMs Deep Blue demonstrated in 1996 when it defeated chess grand master Gerry Kasparov.

General AI: Machines designed to complete any task which would normally require human intervention. The broad nature of General AI requires machines to learn as they encounter new tasks or situations. This need for a learned approach is what gave rise to modern Machine Learning.2

Today, many firms at the cutting edge of AI are focusing on machine learning (ML). In simple terms, ML is the process of building machines which can access data, apply algorithms to this data, and then train themselves to deduce valuable insights based on these underlying datasets.

The key difference between ML and AI is that ML does not rely explicitly on the code of its creator. Rather, ML systems use computer code as a starting point and then gather data, information, and inputs which can be studied similar to how a student might study for an exam. It is this relationship with big data that makes ML and the Internet of Things(connecting regular objects to the internet so they can collect data or be controlled remotely) so closely intertwined.3

Currently, ML is typically used to recognize faces, voice commands, and objects, as well as to translate languages. It has been successfully implemented in chatbots, such as Siri (Apple), Cortana (Microsoft), and Alexa (Amazon). With the victory of Googles Deep Mind over the Go world champion in 2016, ML is now increasingly becoming accepted as a useful tool for decision making in the corporate world.4

Deep learning takes artificial intelligence a step further, by mimicking how the human brain works through the use of artificial neural networks. In an artificial neural network, each neuron is charged with providing a binary (yes/no) response to basic questions about a piece of data. By layering thousands (or millions) of these artificial neural networks, a Deep Learning machine is able to generate reliable outputs (recommendations or interactions) without changing the underlying coding.

Consider a very basic artificial neural network which is responsible for determining if a photo contains a banana or an apple. The network has three neurons which are responsible for answering:

The network would respond with no, yes, no for the photo of a banana and yes, no, yes for the photo of an apple. Using binary, the network would learn that a banana is 010 and an apple is 101. Extrapolate this concept across thousands of yes/no questions of exponential complexity and you have the bases of artificial neural networks and deep learning.5

Apart from being used in image and voice recognition algorithms, companies are implementing deep learning to predict customer preferences, detect fraud and spam, fight malware, conduct life-saving diagnoses, and recognize handwriting. In many ways, the possibilities for this technology are endless.

Whats Ahead?

Gartners recent study projects that by the end of this decade, the average person will have more conversations with a virtual assistant or bot than with his or her immediate family.6Such penetration of artificial intelligence into our everyday lives will depend on further advances in the technology to become smarter, more capable, and easier to interact with. While many expect this progress to occur from advances in machine learning and deep learning, there are new techniques to being introduced as well.

Its with this momentum in mind that we developed our Robotics and Artificial Intelligence ETF (NASDAQ:BOTZ). The fund seeks to invest in companies that can potentially benefit from increased adoption and utilization of robotics and artificial intelligence.

1. https://www.forbes.com/sites/bernardmarr/2016/12/06/what-is-the-difference-between-artificial-intelligence-and-machine-learning/#35aa37802742

2. https://www.leverege.com/blogpost/the-difference-between-artificial-intelligence-machine-learning-and-deep-learning

3. http://www.techrepublic.com/article/machine-learning-the-smart-persons-guide/

4. http://www.techrepublic.com/article/7-companies-that-used-machine-learning-to-solve-real-business-problems/

5. http://www.explainthatstuff.com/introduction-to-neural-networks.html

6. http://www.gartner.com/smarterwithgartner/gartner-predicts-a-virtual-world-of-exponential-change/

Investing involves risk, including the possible loss of principal. The investable universe of companies in which BOTZ may invest may be limited. The Fund invests in securities of companies engaged in Information Technology which can be affected by rapid product obsolescence, and intense industry competition. In addition to normal risks associated with investing, international investments may involve risk of capital loss from unfavorable fluctuation in currency values, from differences in generally accepted accounting principles or from social, economic or political instability in other nations. The fund is non-diversified which represents a heightened risk to investors.

Shares are bought and sold at market price (not NAV) and are not individually redeemed from the Fund. Brokerage commissions will reduce returns.

Carefully consider the Funds investment objectives, risk factors, charges and expenses before investing. This and additional information can be found in the Funds full or summary prospectus, which may be obtained by calling 1-888-GX-FUND-1 (1.888.493.8631), or by visiting globalxfunds.com. Read the prospectus carefully before investing.

Global X Management Company LLC serves as an advisor to Global X Funds. The Funds are distributed by SEI Investments Distribution Co. (SIDCO), which is not affiliated with Global X Management Company LLC. Global X Funds are not sponsored, endorsed, issued, sold or promoted by Solactive AG, FTSE, Standard & Poors, NASDAQ, Indxx, or MSCI nor do these companies make any representations regarding the advisability of investing in the Global X Funds. Neither SIDCO nor Global X is affiliated with Solactive AG, FTSE, Standard & Poors, NASDAQ, Indxx, or MSCI.

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Artificial Intelligence, Explained - Seeking Alpha

What an Artificial Intelligence Researcher Fears About AI – Government Technology

As an artificial intelligence researcher, I often come across the idea that many people are afraid of what AI might bring. Its perhaps unsurprising, given both history and the entertainment industry, that we might be afraid of a cybernetic takeover that forces us to live locked away, Matrix-like, as some sort of human battery.

And yet it is hard for me to look up from the evolutionary computer models I use to develop AI, to think about how the innocent virtual creatures on my screen might become the monsters of the future. Might I become the destroyer of worlds, as Oppenheimer lamented after spearheading the construction of the first nuclear bomb?

I would take the fame, I suppose, but perhaps the critics are right. Maybe I shouldnt avoid asking: As an AI expert, what do I fear about artificial intelligence?

Oper proprie, CC BY-SA

The HAL 9000 computer, dreamed up by science fiction author Arthur C. Clarke and brought to life by movie director Stanley Kubrick in 2001: A Space Odyssey, is a good example of a system that fails because of unintended consequences. In many complex systems the RMS Titanic, NASAs space shuttle, the Chernobyl nuclear power plant engineers layer many different components together. The designers may have known well how each element worked individually, but didnt know enough about how they all worked together.

That resulted in systems that could never be completely understood, and could fail in unpredictable ways. In each disaster sinking a ship, blowing up two shuttles and spreading radioactive contamination across Europe and Asia a set of relatively small failures combined together to create a catastrophe.

I can see how we could fall into the same trap in AI research. We look at the latest research from cognitive science, translate that into an algorithm and add it to an existing system. We try to engineer AI without understanding intelligence or cognition first.

Systems like IBMs Watson and Googles Alpha equip artificial neural networks with enormous computing power, and accomplish impressive feats. But if these machines make mistakes, they lose on Jeopardy! or dont defeat a Go master. These are not world-changing consequences; indeed, the worst that might happen to a regular person as a result is losing some money betting on their success.

But as AI designs get even more complex and computer processors even faster, their skills will improve. That will lead us to give them more responsibility, even as the risk of unintended consequences rises. We know that to err is human, so it is likely impossible for us to create a truly safe system.

Im not very concerned about unintended consequences in the types of AI I am developing, using an approach called neuroevolution. I create virtual environments and evolve digital creatures and their brains to solve increasingly complex tasks. The creatures performance is evaluated; those that perform the best are selected to reproduce, making the next generation. Over many generations these machine-creatures evolve cognitive abilities.

Right now we are taking baby steps to evolve machines that can do simple navigation tasks, make simple decisions, or remember a couple of bits. But soon we will evolve machines that can execute more complex tasks and have much better general intelligence. Ultimately we hope to create human-level intelligence.

Along the way, we will find and eliminate errors and problems through the process of evolution. With each generation, the machines get better at handling the errors that occurred in previous generations. That increases the chances that well find unintended consequences in simulation, which can be eliminated before they ever enter the real world.

Another possibility thats farther down the line is using evolution to influence the ethics of artificial intelligence systems. Its likely that human ethics and morals, such as trustworthiness and altruism, are a result of our evolution and factor in its continuation. We could set up our virtual environments to give evolutionary advantages to machines that demonstrate kindness, honesty and empathy. This might be a way to ensure that we develop more obedient servants or trustworthy companions and fewer ruthless killer robots.

While neuroevolution might reduce the likelihood of unintended consequences, it doesnt prevent misuse. But that is a moral question, not a scientific one. As a scientist, I must follow my obligation to the truth, reporting what I find in my experiments, whether I like the results or not. My focus is not on determining whether I like or approve of something; it matters only that I can unveil it.

Being a scientist doesnt absolve me of my humanity, though. I must, at some level, reconnect with my hopes and fears. As a moral and political being, I have to consider the potential implications of my work and its potential effects on society.

As researchers, and as a society, we have not yet come up with a clear idea of what we want AI to do or become. In part, of course, this is because we dont yet know what its capable of. But we do need to decide what the desired outcome of advanced AI is.

One big area people are paying attention to is employment. Robots are already doing physical work like welding car parts together. One day soon they may also do cognitive tasks we once thought were uniquely human. Self-driving cars could replace taxi drivers; self-flying planes could replace pilots.

Instead of getting medical aid in an emergency room staffed by potentially overtired doctors, patients could get an examination and diagnosis from an expert system with instant access to all medical knowledge ever collected and get surgery performed by a tireless robot with a perfectly steady hand. Legal advice could come from an all-knowing legal database; investment advice could come from a market-prediction system.

Perhaps one day, all human jobs will be done by machines. Even my own job could be done faster, by a large number of machines tirelessly researching how to make even smarter machines.

In our current society, automation pushes people out of jobs, making the people who own the machines richer and everyone else poorer. That is not a scientific issue; it is a political and socioeconomic problem that we as a society must solve. My research will not change that, though my political self together with the rest of humanity may be able to create circumstances in which AI becomes broadly beneficial instead of increasing the discrepancy between the one percent and the rest of us.

There is one last fear, embodied by HAL 9000, the Terminator and any number of other fictional superintelligences: If AI keeps improving until it surpasses human intelligence, will a superintelligence system (or more than one of them) find it no longer needs humans? How will we justify our existence in the face of a superintelligence that can do things humans could never do? Can we avoid being wiped off the face of the Earth by machines we helped create?

If this guy comes for you, how will you convince him to let you live? tenaciousme, CC BY

The key question in this scenario is: Why should a superintelligence keep us around?

I would argue that I am a good person who might have even helped to bring about the superintelligence itself. I would appeal to the compassion and empathy that the superintelligence has to keep me, a compassionate and empathetic person, alive. I would also argue that diversity has a value all in itself, and that the universe is so ridiculously large that humankinds existence in it probably doesnt matter at all.

But I do not speak for all humankind, and I find it hard to make a compelling argument for all of us. When I take a sharp look at us all together, there is a lot wrong: We hate each other. We wage war on each other. We do not distribute food, knowledge or medical aid equally. We pollute the planet. There are many good things in the world, but all the bad weakens our argument for being allowed to exist.

Fortunately, we need not justify our existence quite yet. We have some time somewhere between 50 and 250 years, depending on how fast AI develops. As a species we can come together and come up with a good answer for why a superintelligence shouldnt just wipe us out. But that will be hard: Saying we embrace diversity and actually doing it are two different things as are saying we want to save the planet and successfully doing so.

We all, individually and as a society, need to prepare for that nightmare scenario, using the time we have left to demonstrate why our creations should let us continue to exist. Or we can decide to believe that it will never happen, and stop worrying altogether. But regardless of the physical threats superintelligences may present, they also pose a political and economic danger. If we dont find a way to distribute our wealth better, we will have fueled capitalism with artificial intelligence laborers serving only very few who possess all the means of production.

Arend Hintze, Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University

This article was originally published on The Conversation. Read the original article.

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What an Artificial Intelligence Researcher Fears About AI - Government Technology

What Makes an Artificial Intelligence Racist and Sexist – Lifehacker

Artificial intelligence is infiltrating our daily lives, with applications that curate your phone pics, manage your email, and translate text from any language into another. Google, Facebook, Apple, and Microsoft are all heavily researching how to integrate AI into their major services. Soon youll likely interact with an AI (or its output) every time you pick up your phone. Should you trust it? Not always.

AI can analyze data more quickly and accurately than humans, but it can also inherit our biases. To learn, it needs massive quantities of data, and the easiest way to find that data is to feed it text from the internet. But the internet contains some extremely biased language. A Stanford study found that an internet-trained AI associated stereotypically white names with positive words like love, and black names with negative words like failure and cancer.

Luminoso Chief Science Officer Rob Speer oversees the open-source data set ConceptNet Numberbatch, which is used as a knowledge base for AI systems. He tested one of Numberbatchs data sources and found obvious problems with their word associations. When fed the analogy question Man is to woman as shopkeeper is to... the system filled in housewife. It similarly associated women with sewing and cosmetics.

While these associations might be appropriate for certain applications, they would cause problems in common AI tasks like evaluating job applicants. An AI doesnt know which associations are problematic, so it would have no problem ranking a womans rsum lower than an identical rsum from a man. Similarly, when Speer tried building a restaurant review algorithm, it rated Mexican food lower because it had learned to associate Mexican with negative words like illegal.

So Speer went in and de-biased ConceptNet. He identified inappropriate associations and adjusted them to zero, while maintaining appropriate associations like man/uncle and woman/aunt. He did the same with words related to race, ethnicity, and religion. To fight human bias, it took a human.

Numberbatch is the only semantic database with built-in de-biasing, Speer says in an email. Hes happy for this competitive advantage, but he hopes other knowledge bases will follow suit:

This is the threat of AI in the near term. Its not some sci-fi scenario where robots take over the world. Its AI-powered services making decisions we dont understand, where the decisions turn out to hurt certain groups of people.

The scariest thing about this bias is how invisibly it can take over. According to Speer, some people [will] go through life not knowing why they get fewer opportunities, fewer job offers, more interactions with the police or the TSA... Of course, he points out, racism and sexism are baked into society, and promising technological advances, even when explicitly meant to counteract them, often amplify them. Theres no such thing as an objective tool built on subjective data. So AI developers bear a huge responsibility to find the flaws in their AI and address them.

There should be more understanding of whats real and whats hype, Speer says. Its easy to overhype AI because most people dont have the right metaphors to understand it yet, and that stops people from being appropriately skeptical.

Theres no AI that works like the human brain, he says. To counter the hype, I hope we can stop talking about brains and start talking about whats actually going on: its mostly statistics, databases, and pattern recognition. Which shouldnt make it any less interesting.

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What Makes an Artificial Intelligence Racist and Sexist - Lifehacker

The World Needs Alabama: Aerospace Products Made Here Are in High Demand – Yellowhammer News

Alabamas aerospace sector is continuing its meteoric rise thanks to a 65 percent increase in exports last year. In 2016, Alabama aerospace companies exported $1.4 billion in products, which represents a 156 percent increase since 2011.

The aerospace industry as does the automotive industry values U.S.-made products because Federal Aviation Authority regulations ensure that they are airworthy. Not all countries have the quality that the U.S. and Alabama products do, Hilda Lockhart, director of the Office of International Trade at the Alabama Department of Commerce, told Made in Alabama.

Alabama has followed the general trend seen in the sector across the country in terms of its recent growth. According to the Aerospace Industries Association, the domestic sector broke records in 2016 with $146 billion in exports.

RELATED: Alabamas aerospace industry soars, becomes economic powerhouse for state

Lockhart told Made in Alabama that the state has benefited from the type of products that are rising in demand. There is a large demand for civil aircraft around the world. With the continued demand for parts, we should see the upward trend of our exports continue as well, she said.

Alabama has numerous aerospace-related manufacturing facilities across the state. The largest of these plants, The AirBus Brookley Aeroplex in Mobile, has drawn in several other aerospace sector investments since its opening in 2015.

The top market for Alabama aerospace exports last year was the United Arab Emirates. In 2016, UAE imports of Alabama aerospace products shot up 244 percent from the previous year. The other top foreign markets last year were France, Germany, Canada, and the United Kingdom. These countries primarily imported civilian aircraft, engines, and parts.

RELATED: BOOM: Alabama exports set new record in 2016

2016 was a record-breaking year for Alabama exports overall, with $20.6 billion worth of products shipped overseas. Last years total breaks the previous high of $19.6 billion set back in 2012. More than half of Alabamas monetary export total stems from the states transportation manufacturing sector. At nearly $10.7 billion, these automobiles, aircraft components, and boats climbed 15 percent in 2016.

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The World Needs Alabama: Aerospace Products Made Here Are in High Demand - Yellowhammer News