Science Friday Folgen

The deep sea is the largest habitat on Earth, but it’s also one of the least understood. As mining companies eye the mineral resources of the deep sea—from oil and gas, to metal deposits—marine biologists like London’s Natural History Museum’s Diva Amon are working to discover and describe as much of the deep sea as they can. Amon has been on dozens of expeditions to sea, where she’s helped characterize ecosystems and discover new species all over the world. And she says we still don’t know enough about deep sea ecology to know how to protect these species, the ones we’ve found and the ones we haven’t yet, from mining. But accessing the deep ocean is expensive; it can cost anywhere from $50,000 to $100,000 a day to run a research ship. So roboticists and artificial intelligence designers are developing underwater drones to map and sniff out the secrets of the deep with the help of sophisticated chemical sensors.  June 1 marks the start of the official “hurricane season” in the Atlantic, the time when powerful storms are most likely to spin their way out of the tropics. Each year, teams of forecasters try to anticipate the number and severity of storms to come. Some try to run climate models that simulate atmospheric behavior over multi-month timeframes, while other teams rely on statistics and comparisons with historic data for their estimates of the upcoming storm season. Michael Bell, co-author of Colorado State University’s seasonal hurricane forecast, says that after looking at factors including Atlantic sea surface temperatures, sea level pressures, vertical wind shear levels, and El Niño, their team is predicting 13 additional named storms during the 2018 Atlantic hurricane season (in addition to Alberto, which formed before the Atlantic hurricane season began). Of those storms, the forecast calls for six to become hurricanes and two to reach major hurricane strength. That’s in line with a separate forecast from NOAA’s Climate Prediction Center estimating between 10-16 named storms and 5-9 hurricanes.   Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

This year’s midterm elections have seen an upswing in the number of scientists running for office. There are approximately 60 candidates with STEM backgrounds in the races for federal offices, and 200 for state positions, according to 314 Action, an advocacy organization that helps scientists run for office. But why would a scientist want to leave the lab for the Hill? According to volcanologist and Congressional candidate Jess Phoenix, “Science by definition is political because the biggest funder of scientific research in our country is the government.” And Aruna Miller, who is a Maryland State Delegate for District 15 and a former civil engineer for the Department of Transportation, says that “Your job as an engineer isn’t only your profession. It is to be a citizen of your country…. You have to be engaged in our community.” By now, we all know about the microbes that live in our gut and digestive tract—different species of bacteria living together in the same environment. Now researchers are trying to learn more about what keeps these bacteria living together in harmony. Scientists suspect the secret “microbe whisperer” is actually a member of the immune system—a molecule called immunoglobulin A. That molecule keeps the gastrointestinal system free of pathogens and, researchers hope, might one day be used to combat diseases of the digestive tract. States like Wyoming and Montana are high risk for wildlife-vehicle collisions. These accidents result in expensive damages and sometimes even death for both wildlife and drivers. One group of scientists found an unlikely solution. You’ve probably driven by one before and not noticed it, but wildlife reflectors are poles on the side of the road. There have been a lot of studies on reflectors, but Riginos said the results are mixed and not very impressive. So Riginos and her team developed an experiment. They’d cover up some reflectors, leave others uncovered, and then compare the results. “We covered them with this cheap, easily available and durable material, which just happened to be white canvas bags,” Riginos said. And to their surprise—the bags turned out to be more effective than the reflectors. “We could actually see that in the white bags situation, that the deer were more likely to stop and wait for cars to pass before crossing the road, instead of just running headlong into the road,” said Riginos. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

Should autonomy be the holy grail of artificial intelligence? Computer scientist Justine Cassell has been working for decades on interdependence instead—AI that can hold conversations with us, teach us, and otherwise develop good rapport with us. She joined Ira live on stage at the Carnegie Library of Homestead Music Hall in Pittsburgh to introduce us to SARA, a virtual assistant that helped world leaders navigate the World Economic Forum last year. Cassell discusses the value of studying relationships in building a new generation of more trustworthy AI. Robot assistants talk to us from our phones. Home robots have faces and facial expressions. But many of the robots that might enter our lives will have no such analogs to help us trust and understand them. What’s a roboticist to do? Madeline Gannon, a Carnegie Mellon research fellow, artist, and roboticist for NVIDIA, trains industrial robots to use body language to communicate, while Henny Admoni, psychologist and assistant professor of robotics at Carnegie Mellon University, teaches assistive technology to anticipate the needs of its users.  The pop hits of the future might be written not by human musicians, but by machine-learning algorithms that have learned the rules of catchy music, and apply them to create never-before-heard melodies. Those tunes may not even require human hands to be heard, because a growing army of musical robots, from bagpipes to xylophones, can already play themselves—even improvise too. We talk with computer scientist Roger Dannenberg and artist-roboticist Eric Singer about the implications of computerized composition, and unveil a song created by AI. (We’ll let you judge whether it’s worthy of the top 40.) Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.