Augmented Reality’s A-ha Moment

komorebi

Design project by Leslie Nooteboom is a lamp that can project artificial natural lighting onto walls, created with high-rise apartment spaces in mind:

komorebi is sunlight filtering through leaves, creating a dance of light and shadows where filtered sunrays hit a surface. It is the reflections on pavements underneath centuries-old trees on a sunny day, and moving, framed lightboxes through windows of homes onto walls. However, these days buildings are taller than they have ever been, creating a place to live for as many people as possible on the tiniest piece of land possible. Homes become a place of isolation from the outside – windows are absent or so tiny that even the idea of nature disappears, and lighting has become so artificial that there is no sense of day, time or place anymore.

komorebi lets you curate natural lighting experiences indoors.

In a time where indoor sunlight is becoming more scarce, the need for technological nature is increasing. With an ever growing global population and urbanisation levels reaching huge rates, fewer living spaces are able to receive direct sunlight. There are attempts at solving this issue, however these are very static. Intensity and colour seem to be the only way in which their light is dynamic.

You can find out more at Creative Applications here or the project page here

Cassies Take a Tour of Agility Robotics

Meet Cassie, a sleek bi-pedal robot made by Agility Robotics

Two Cassies decide to take a walking tour of our office. No CG: 100% actual robots.

More Here

Harry Potter and the Neural Network fan fiction

Or, what happens if you train a neural network on the titles and plot summaries of over 100,000 works of Harry Potter fan fiction.

In the decades since the Harry Potter books were published, fans have written literally hundreds of thousands of Harry Potter stories of their own, and shared them online. Can a neural network join in on the fun?

In a way, everything a recurrent neural network writes is fan fiction. A recurrent neural network looks at an example dataset (such as the complete Sherlock Holmes stories) and teaches itself the patterns and conventions that it sees. So, if it’s given Sherlock Holmes stories, it will become obsessed with Holmes and Watson, and if it’s given knock-knock jokes, it will spend all day telling awful knock-knock jokes of its own.

Thanks to an idea by a couple of readers, some heroic work by @b8horpet in scraping (with permission) hundreds of thousands of Harry Potter fan fiction titles and summaries from AO3, and a flexible new recurrent neural network implementation by Chen Liang, the neural network’s latest obsession is Harry Potter.

The Perfect Party by iamisaac Draco has been left alone, and Ginny confused must learn and who has his best friend. They were breathed by a love that didn’t become his grounds and the flowers begin.

This is a typical example of the neural network’s fan fiction - romantic pairings of two or more Harry Potter characters (called “ships” in fan fiction-speak). In this case, it even has chosen a plausible author: iamisaac is a real and fairly prolific fan fiction author whose works do tend to be of the “romantic” variety. 

The Garden by perverse_idyll for lexigilite Ron and Hermione move after a man party. What did her best things go and has to deal with people she loves? How many imperfect love really belonges them and needs to be a person? Or will they learn and more than the war? Mirror Thing by Queen_Elexhan “Are you there for a relationship? I was a sad future for your love.”  Harry and Ginny find out the meaning is.

Shatters by Kis [archived by TheHexFiles_archivist ] Based on the Spot Are It Falls Into A Heir by NextrangeOnTheThree Draco and Hermione share a whole indescribbening.

Again, “perverse_idyll” and “TheHexFiles_archivist” are fairly active authors. (Hi, if you’re reading! The neural network seems to like your writing, and is writing fan fiction of your fan fiction!) Those familiar with Harry Potter fan fiction will not be surprised to learn that the neural network really likes to generate ships; pretty much every combination of characters is represented (some of the more unusual combinations being “The Snow/Voldemort”, “The Ministry/Draco Malfoy”, and “Voldemort/Random Quidditch Child”).

By turning down the neural network’s creativity setting to near-zero, we arrive at its vision of what the quintessential Harry Potter fan fiction would be like - and we also learn its favorite ship:

Persuading by theladyblack Harry and Draco are still a second chance at the end of the war.  Will they be able to do with the fairy tale of the first time they were a strange stranger to the street of the war and the war is over?

It turns out the neural network is obsessed with Harry/Draco, although in a pinch, Sirius/Remus will also do.

The neural network also seems to really like stories about Professor Snape trying to do rather ordinary things:

New Moon Boys by Dungoonke for Loki_Kukaka Severus Snape comes back to a night’s politics.

In the Reason Is Blinders by LittleRoma Severus has been through his lost remote.

In The Alteri Silence by Forest_of_Holly for roscreens41 Snape receives life after plants to do by work over whether they get into. Just Hell.

A Second Chance by DarkCorgi Snape had a second thing, and that is better than anything for for the rest of his life.

Mirror by orphan_account Severus Snape tries to get a lot of dragons and that was to be more than he didn’t expect to continue. He has always been a bit of an old and a baby to stay the way he’d been the brother at Hogwarts and he keeps the chance of meeting… Deception by FlyingEyes Snape is a British Robes of interesting things and worrys like a little fun and sees the pretty battle for a while.

Another thing that happened, which is pretty much my favorite thing ever, is that the neural network apparently encountered some fan fiction stories that were not in English. As a result, it learned to do this from time to time:

The Secretary Of the World  Challenge inspired by GoF and la mating resigns de la mill colors per mereple beruit carteur la pelete el wert rardo completing and herillo intus den una a des rush sentines kelta an transoles… 

Between by Cheyangel13 A series of fivers are unexpectedly depressed and controlled by the bed, with least more from una perfemale erpensa de the maesse akai suidadium dela vida call de la los se terriuus do form en sou dies de fasurard il resisted de for dogs la sementu sein prong colors itu dee adte se sige natard…

The neural network has also learned to employ capital letters:

Les finds love by violet_quill for starstruck1986 Severus Snape wanted him to be more and she likes Draco.  The person he wants an energy to him.  WHALIDE NO GEATIRE SOURR INSPE AHARMANABLISH ALL SOME TO VERY THE RERIDE!!!!!!!

secret Quidditch by snapsleert Collapse and find the second worst and very different. See Gain and Descent motivate surprising death. Unbusing one of the months: should make more bumo.choooshots. HUGULATED

And the neural network occasionally uses content warnings, although it seems to have a rather fuzzy idea about what to warn its readers about:

Better With The Broom Complicate by Margyn_Black Tonks gets more than the best girl of creation. (Rated Maturisle, mark, a violence, contract) (slash] part of themes) ferret.

Art for the Sun a Scary by disillusionist9 A collection of warnings: characters and situations of silence.

Some of the neural network’s stories, though, are just plain weird.

Harry Potter and the Painful Eyes by dark_pook A Birthday drabble about the problems and a woman who shows up a lot less than she checks at Hogwarts in the destiny to the infamous adventure of control of the Art of The Good Boy Kings With Hermione. Harry and the Blue Special Delicious by apolavia_scg An unexpected potions messaged in the world their lives are to find friendship following the day of different pagers. James and Lily come to the summer before the war.

The Perfect Cow by alafaye Severus and Hermione start a horcruxes

Art: Let Draco roll the light of the moon, and means. by Dangelanne What happens after the war. Not drawn to Draco Malfoy jumpers. Originally written in 2008.

Birds of a Saturday by SasuNarufan13 Harry Potter is drunk and discovers he is an alternate universe.

Holly theody by yesIpxdishoftlyGrinli What would be dangerous! Side Voldemort Jones does all lord off the sunshine show.

Lily Evans and the Ravenclaw of a Christmas Surprise by ci Severus angst the truth of a frighten situation for the wink.

Persuasion by Samanthian The Sorting Hat is fighting in one of the houses.

lily’s family by sharkle Harry woke up in searching after a werewolf Sherlock’s picnic. He is furious.

As a bonus, I leave you with some fairly-plausible screennames the neural network invented, which appear not to be taken (yet):

desire_at_the_malfoy SeverelyAshed fishlingthelovely thedarklyblue phantombeers captainingthetrain siriusly_harry DarkVoldember ChildOfAtSperble all_frogs BelladonnaLeek Sneaking_UnicornWitch bluemelooppiesweatled

10 Minutes of Imaginary Japanese Anime Face

Video from Yingtao Tian presents anime characters generated using GAN Neural Networks:

You can create your own using the webtoy MakeGirlsMoe here

2047 Apologue

Collaboration between WHITEvoid, Kinetic Lights and director Zhang Yimou incorporates a mechanical array of arrangeable lamps to provide context to a dance performance:

Chinese director Zhang Yimou who is best known for his movies “Raise the Red Lantern”, “Hero” and “The Great Wall” but also for directing the opening and closing ceremonies of the Beijing Olympics returns to the theater stage with his concept perfomance “2047 APOLOGUE”.  

Zhang Yimou has unveiled his latest work at the National Center for the Performing Arts in Beijing. Based on Peking Opera “Sanchakou,” “2047 Apologue” is breaking the form of traditional stage plays, combining Chinese folk art with the latest technology. The show aims to mirror reality, commenting on how science and technology are a huge part of life in the 21st century. The show consists of 8 parts, each combining a traditional chinese craft, music or dance style with modern high tech such as lasers, robots, drones and kinetics.

WHITEvoid was commissioned to create, program and direct the kinetic display for the last part of the show called “Weaving Machine”. The 9 minute performance features 640 motorized LED spheres, an anchient chinese weaving machine and a modern dancer. German motor winch producer KINETIC LIGHTS provided the vertical hoist systems for the LED spheres and control software. Russian RADUGADESIGN animated a complementing video backdrop and CPG Concepts from Hong Kong provided the dance choreography for british dancer Rose Alice.

Link

“Free your mind”.

From Microscopic to Multicellular: Six Stories of Life that We See from Space

Life. It’s the one thing that, so far, makes Earth unique among the thousands of other planets we’ve discovered. Since the fall of 1997, NASA satellites have continuously and globally observed all plant life at the surface of the land and ocean. During the week of Nov. 13-17, we are sharing stories and videos about how this view of life from space is furthering knowledge of our home planet and the search for life on other worlds.

Earth is the only planet with life, as far as we know. From bacteria in the crevices of the deepest oceans to monkeys swinging between trees, Earth hosts life in all different sizes, shapes and colors. Scientists often study Earth from the ground, but some also look to our satellites to understand how life waxes and wanes on our planet.

Over the years, scientists have used this aerial view to study changes in animal habitats, track disease outbreaks, monitor forests and even help discover a new species. While this list is far from comprehensive, these visual stories of bacteria, plants, land animals, sea creatures and birds show what a view from space can reveal.

1. Monitoring the single-celled powerhouses of the sea

Known as the grass of the ocean, phytoplankton are one of the most abundant types of life in the ocean. Usually single-celled, these plant-like organisms are the base of the marine food chain. They are also responsible for the only long-term transfer of carbon dioxide from Earth’s atmosphere to the ocean. 

Even small changes in phytoplankton populations can affect carbon dioxide concentrations in the atmosphere, which could ultimately affect Earth’s global surface temperatures. Scientists have been observing global phytoplankton populations continuously since 1997 starting with the Sea-Viewing Wide Field-of View Sensor (SeaWiFS). They continue to study the small life-forms by satellite, ships and aircrafts.

2. Predicting cholera bacteria outbreaks

Found on the surface of zooplankton and in contaminated water, the bacteria that cause the infectious disease cholera — Vibrio cholerae — affect millions of people every year with severe diarrhea, sometimes leading to death. While our satellite sensors can’t detect the actual bacteria, scientists use various satellite data to look for the environmental conditions that the bacteria thrive in. 

Specifically, microbiologist Rita Colwell at the University of Maryland, College Park, and West Virginia University hydrologist Antar Jutla studied data showing air and ocean temperature, salinity, precipitation, and chlorophyllconcentrations, the latter a marker for zooplankton. Anticipating where the bacteria will bloom helps researchers to mitigate outbreaks.

Recently, Colwell and Jutla have been able to estimate cholera risk after major events, such as severe storms, by looking at satellite precipitation data, air temperature, and population maps. The two maps above show the team’s predicted cholera risk in Haiti two weeks after Hurricane Matthew hit over October 1-2, 2016 and the actual reported cholera cases in October 2016.

3. Viewing life on land

From helping preserve forests for chimpanzees to predicting deer population patterns, scientists use our satellites to study wildlife across the world. Satellites can also see the impacts of perhaps the most relatable animal to us: humans. Every day, we impact our planet in many ways including driving cars, constructing buildings and farming – all of which we can see with satellites.

Our Black Marble image provides a unique view of human activity. Looking at trends in our lights at night, scientists can study how cities develop over time, how lighting and activity changes during certain seasons and holidays, and even aid emergency responders during power outages caused by natural disasters.

4. Tracking bird populations

Scientists use our satellite data to study birds in a variety of ways, from understanding their migratory patterns, to spotting potential nests, to tracking populations. In a rather creative application, scientists used satellite imagery to track Antarctica’s emperor penguin populations by looking for their guano – or excrement.

Counting emperor penguins from the ground perspective is challenging because they breed in some of the most remote and cold places in the world, and in colonies too large to easily count manually. With their black and white coats, emperor penguins are also difficult to count from an aerial view as they sometimes blend in with shadows on the ice. Instead, Phil Trathan and his colleagues at the British Antarctic Survey looked through Landsat imagery for brown stains on the sea ice. By looking for penguin droppings, Trathan said his team identified 54 emperor penguin colonies along the Antarctic coast.

5. Parsing out plant life

Just as we see plants grow and wilt on the ground, satellites observe the changes from space. Flourishing vegetation can indicate a lively ecosystem while changes in greenery can sometimes reveal natural disasters, droughts or even agricultural practices. While satellites can observe plant life in our backyards, scientists can also use them to provide a global picture. 

Using data from satellites including SeaWiFS, and instruments including the NASA/NOAA Visible Infrared Imaging Radiometer Suite and the Moderate Resolution Imaging Spectroradiometer, scientists have the most complete view of global biology to date, covering all of the plant life on land and at the surface of the ocean.

6. Studying life under the sea

Our satellites have helped scientists study creatures living in the oceans whether it’s finding suitable waters for oysters or protecting the endangered blue whale. Scientists also use the data to learn more about one of the most vulnerable ecosystems on the planet – coral reefs.

They may look like rocks or plants on the seafloor, but corals are very much living animals. Receiving sustenance from photosynthetic plankton living within their calcium carbonate structures, coral reefs provide food and shelter for many kinds of marine life, protect shorelines from storms and waves, serve as a source for potential medicines, and operate as some of the most diverse ecosystems on the planet.

However, coral reefs are vulnerable to the warming of the ocean and human activity. Our satellites measure the surface temperature of ocean waters. These measurements have revealed rising water temperatures surrounding coral reef systems around the world, which causes a phenomenon known as “coral bleaching.” To add to the satellite data, scientists use measurements gathered by scuba divers as well as instruments flown on planes.

During the week of Nov. 13-17, check out our stories and videos about how this view of life from space is furthering knowledge of our home planet and the search for life on other worlds. Follow at www.nasa.gov/Earth.

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com.

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Elephant-octopus-inspired robotics

Festo’s BionicMotionRobot takes inspiration from the delicate precision movements of an elephant’s trunk and an octopus’ tentacles to create what is undoubtedly the least adorable robot we’ve featured on the MW blog.