Why Don’t We Have Artificial Wombs for Premature Infants?

Why Don’t We Have Artificial Wombs for Premature Infants?

A lamb which was prematurely born at the equivalent of 23 weeks' human gestation, after 28 days of support from an artificial womb.

(Photo credit: Patridge et al/Nature Communications)


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David Warmflash
David Warmflash is an astrobiologist and science writer. He received his M.D. from Tel Aviv University Sackler School of Medicine, and has done post doctoral work at Brandeis University, the University of Pennsylvania, and the NASA Johnson Space Center, where he was part of the NASA's first cohort of astrobiology training fellows. He has written numerous articles covering a range of science topics, from the search for extraterrestrial life and space exploration to the origins of life, genetics, neuroscience, biotechnology, and the history of science. David’s articles have appeared in various publications, including Wired UK, Discover, Scientific American, Genetic Literacy Project, and Cricket Media. Throughout 2018, he did a blog post series on the emergence of ancient science for Vision Learning, covering thinkers from history. Many of these ancient pioneers of science also make an appearance in David's new book, "Moon: An Illustrated History: From Ancient Myths to the Colonies of Tomorrow."
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Podcast: The Friday Five weekly roundup in health research

Researchers are making progress on a vaccine for Lyme disease, sex differences in cancer, new research on reducing your risk of dementia with leisure activities, and more in this week's Friday Five

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The Friday Five covers five stories in health research that you may have missed this week. There are plenty of controversies and troubling ethical issues in science – and we get into many of them in our online magazine – but this news roundup focuses on scientific creativity and progress to give you a therapeutic dose of inspiration headed into the weekend.

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Matt Fuchs

Matt Fuchs is the editor-in-chief of Leaps.org. He is also a contributing reporter to the Washington Post and has written for the New York Times, Time Magazine, WIRED and the Washington Post Magazine, among other outlets. Follow him on Twitter @fuchswriter.

Scientists Want to Make Robots with Genomes that Help Grow their Minds

Giving robots self-awareness as they move through space - and maybe even providing them with gene-like methods for storing rules of behavior - could be important steps toward creating more intelligent machines.

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One day in recent past, scientists at Columbia University’s Creative Machines Lab set up a robotic arm inside a circle of five streaming video cameras and let the robot watch itself move, turn and twist. For about three hours the robot did exactly that—it looked at itself this way and that, like toddlers exploring themselves in a room full of mirrors. By the time the robot stopped, its internal neural network finished learning the relationship between the robot’s motor actions and the volume it occupied in its environment. In other words, the robot built a spatial self-awareness, just like humans do. “We trained its deep neural network to understand how it moved in space,” says Boyuan Chen, one of the scientists who worked on it.

For decades robots have been doing helpful tasks that are too hard, too dangerous, or physically impossible for humans to carry out themselves. Robots are ultimately superior to humans in complex calculations, following rules to a tee and repeating the same steps perfectly. But even the biggest successes for human-robot collaborations—those in manufacturing and automotive industries—still require separating the two for safety reasons. Hardwired for a limited set of tasks, industrial robots don't have the intelligence to know where their robo-parts are in space, how fast they’re moving and when they can endanger a human.

Over the past decade or so, humans have begun to expect more from robots. Engineers have been building smarter versions that can avoid obstacles, follow voice commands, respond to human speech and make simple decisions. Some of them proved invaluable in many natural and man-made disasters like earthquakes, forest fires, nuclear accidents and chemical spills. These disaster recovery robots helped clean up dangerous chemicals, looked for survivors in crumbled buildings, and ventured into radioactive areas to assess damage.

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Lina Zeldovich
Lina Zeldovich has written about science, medicine and technology for Scientific American, Reader’s Digest, Mosaic Science and other publications. She’s an alumna of Columbia University School of Journalism and the author of the upcoming book, The Other Dark Matter: The Science and Business of Turning Waste into Wealth, from Chicago University Press. You can find her on http://linazeldovich.com/ and @linazeldovich.