#smithsonianmag

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Source: http://twitter.com/SmithsonianMag/status/907016012595437568

How Bullwinkle taught kids sophisticated political satire. https://t.co/S3CpB4Wb7R

— Smithsonian Magazine (@SmithsonianMag) September 10, 2017

[reduxpictures]

Photos by Louise Johns for a story about the delicate ecosystem of endangered salmon, seals, and sea lions in the Pacific Northwest - in Smithsonian Magazine, June 2025 issue.

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(SmithsonianMag)

[thisisnewsworthy]

Discarded Covid-19 Masks and Plastic Gloves Are Killing Wildlife

Article from SmithsonianMag.com. Illustration 2/100

Please clip mask bands before discarding in waste receptacles!

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Source: http://twitter.com/SmithsonianMag/status/1134663393208623104

The Royal Astronomical Society has rediscovered the oldest surviving eclipse footage, restoring the 120-year-old film and putting it online for the first time. https://t.co/P1U3HYbvFx

— Smithsonian Magazine (@SmithsonianMag) June 1, 2019

[night-lights-2019-blog]

Neuroscientists Have Converted Brain Waves Into Verbal Speech

The same technology that powers your chatty mobile assistant could one day provide a voice to those who have lost the ability to speak. As Renae Reints reports for Fortune, neuroscientists from Columbia University recently made a major advancement toward this futuristic goal, successfully translating brain waves into intelligible speech for the first time.

The team’s research, published in Scientific Reports, involves a somewhat unconventional approach. Rather than directly tracking thoughts to produce speech, the researchers recorded neurological patterns generated by test subjects listening to others speak. These brain waves were fed into a vocoder—an artificial intelligence algorithm that synthesizes speech—and then converted into comprehensible, albeit robotic-sounding, speech mirroring the phrases heard by participants.

“Our voices help connect us to our friends, family and the world around us, which is why losing the power of one’s voice due to injury or disease is so devastating,” study author Nima Mesgarani, an engineer in Columbia's neurobiology program, says in a statement. “With today’s study, we have a potential way to restore that power. We’ve shown that, with the right technology, these people’s thoughts could be decoded and understood by any listener.”

It’s worth noting, according to Gizmodo’s George Dvorsky, that scientists haven’t yet figured out how to directly translate internal thoughts, also known as imagined speech, into words. In this ideal scenario, individuals utilizing speech technology would simply envision what they wanted to say, then wait for an artificial voice system to verbalize these thoughts.

The late British physicist Stephen Hawking used a rudimentary version of speech synthesis technology to communicate with others. As Nina Godlewski writes for Newsweek, Hawking was diagnosed with amyotrophic lateral sclerosis (ALS) at age 21. The motor neuron disease eventually claimed his speech abilities, forcing him to use a hand-held clicker to trigger speech.

When Hawking lost the use of his hands, he switched to a system based on facial movements; Gizmodo’s Dvorsky further explains that the scientist used a cheek switch connected to his glasses to choose words spoken by a voice synthesizer.

An advanced iteration of this technology would omit the middle man, enabling users to produce speech without the help of a computer or movement-sensitive system.

Comparatively, Avery Thompson notes for Popular Mechanics, the Columbia team’s study focuses on translating “overheard speech.” Researchers recruited five epilepsy patients set to undergo brain surgery and asked them to listen to an array of spoken words—for example, a recording of someone counting from zero to nine—while hooked up to neural monitoring devices.

The brain waves captured by these tools were put into the vocoder, which synthesized speech with the help of a neural network trained, in the words of Futurism’s Kristin Houser, to “clean up” output and render the sounds intelligible.

Next, the scientists asked 11 other participants to listen to the AI-enabled speech. Significantly, study co-author Mesgarani points out in the Columbia statement, these individuals were able to “understand and repeat” the sounds around 75 percent of the time—“well and beyond” the rates seen in any previous experiments. (You can judge the recordings for yourself here.)

In an interview with Gizmodo’s Dvorsky, Mesgarani says he and his colleagues hope to synthesize more complex phrases in the near future. The researchers also want to record brain signals generated by test subjects who are thinking or imagining the act of speaking rather than simply listening to others speak. Finally, Mesgarani adds in the statement, the team aims to one day transform the technology into an implant capable of translating a wearer’s thoughts directly into words.

Potential limitations of the new research include its small sample size and, according to Newcastle University neuroscientist Andrew Jackson, who was not involved in the study, the fact that neural networks would need to be introduced to a vast number of brain signals from every new participant in order to synthesize speech beyond the numbers zero through nine.

“It will be interesting in future to see how well decoders trained for one person generalize to other individuals,” Jackson tells Gizmodo. “It’s a bit like early speech recognition systems that needed to be individually trained by the user, as opposed to today’s technology, such as Siri and Alexa, that can make sense of anyone’s voice, again using neural networks. Only time will tell whether these technologies could one day do the same for brain signals.”

Read more: https://www.smithsonianmag.com/smart-news/neuroscientists-have-converted-brain-waves-verbal-speech-180971385/#QUM1y94dRVegrd4Q.99

Read more: https://www.smithsonianmag.com/smart-news/neuroscientists-have-converted-brain-waves-verbal-speech-180971385/#QUM1y94dRVegrd4Q.99

[night-lights-2019-blog]

Ancient Earth

Earth looked very different long ago. Search for addresses across 750 million years of Earth's history.

Some 240 million years ago, the patch of land that would one day become the National Mall was part of an enormous supercontinent known as Pangea. Encompassing nearly all of Earth’s extant land mass, Pangea bore little resemblance to our contemporary planet. Thanks to a recently released interactive map, however, interested parties can now superimpose the political boundaries of today onto the geographic formations of yesteryear—at least dating back to 750 million years ago.

The results are intriguing: During the Early Triassic Epoch, the National Mall in Washington, D.C., for example, was wedged almost directly adjacent to Mauritania, yet to be separated from the Northwest African country by the vast waters of the Atlantic Ocean.

Ancient Earth, the tool behind this millennia-spanning visualization, is the brainchild of Ian Webster, curator of the world’s largest digital dinosaur database. As Michael D’estries reports for Mother Nature Network, Webster drew on data from the PALEOMAP Project—spearheaded by paleogeographer Christopher Scotese, the initiative tracks the evolving “distribution of land and sea” over the past 1,100 million years—to build the map.

Users can input a specific address or more generalized region, such as a state or country, and then choose a date ranging from zero to 750 million years ago. Currently, the map offers 26 timeline options, traveling back from the present to the Cryogenian Period at intervals of 15 to 150 million years.

According to Gizmodo’s George Dvorsky, Ancient Earth includes an array of helpful navigational features, including toggle display options related to globe rotation, lighting and cloud coverage. Brief descriptions of chosen time periods pop up on the bottom left side of the screen, while a dropdown menu at the top right allows users to jump to specific milestones in history, from the arrival of Earth’s first multicellular organisms some 600 million years ago to early hominids’ relatively belated emergence around 20 million years ago.

To switch from one time period to another, you can either manually choose from a dropdown menu or use your keyboard’s left and right arrow keys. Start at the very beginning of the map’s timeline, Michele Debczak advises for Mental Floss, and you’ll see the planet evolve from “unrecognizable blobs of land” to the massive supercontinent of Pangea and, finally, the seven continents we inhabit today.

Fast Company’s Jesus Diaz outlines several insights revealed by Ancient Earth: 750 million years ago, for instance, Midtown Manhattan was situated at the center of a giant icy landmass. As the description on the side of the map explains, “Glaciers may have covered the entire planet during the [Cryogenian Period], the greatest ice age known on Earth.” Flash forward to 500 million years ago, Debczak adds, and New York City pops up as a tiny island in the southern hemisphere, while London, still part of Pangea, appears almost directly adjacent to the South Pole.

“I'm amazed that geologists collected enough data to actually plot my home 750 [million] years ago, so I thought you all would enjoy it too,” Webster writes in a comment on Hacker News.

He is quick to point out, however, that the visualizations should be considered approximate despite the fact that plate tectonic models return precise results.

“Obviously we will never be able to prove correctness,” Webster concludes. “In my tests I found that model results can vary significantly. I chose this particular model because it is widely cited and covers the greatest length of time.”

Read more: https://www.smithsonianmag.com/smart-news/map-lets-you-plug-your-address-see-how-neighborhood-has-changed-over-past-750-million-years-180971507/#kjB678E6zUY1myuT.99

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Source: http://twitter.com/SmithsonianMag/status/1076136015029567488

We heard your feedback, and we asked the writer to expand on his thinking and to provide the fuller picture of the legacy of the Triangle Shirtwaist Factory fire. The article has been updated in multiple places and the headline has been updated as well.https://t.co/HVIesI7HbC

— Smithsonian Magazine (@SmithsonianMag) December 21, 2018