Podcasts

Today we bring you the third episode in a new podcast series: COVID, Quickly. Every two weeks, Scientific American’s senior health editors Tanya Lewis and Josh Fischman catch you up on the essential developments in the pandemic: from vaccines to new variants and everything in between.

Here is our next installment of a new pop-up podcast miniseries that takes your ears into the deep sound of nature. Host Jacob Job, an ecologist and audiophile, brings you inches away from a multitude of creatures, great and small, amid the sonic grandeur of nature. You may not be easily able to access these places amid the pandemic, but after you take this acoustic journey, you will be longing to get back outside.

Strap on some headphones, find a quiet place and prepare to experience the what it feels like to listen to the forest from 150 feet off the ground in Sequoia National Park.

You can catch more episodes in the series here.

By collecting the larvae of the fast flyers, researchers have turned the insects into “biosentinels” that can track mercury pollution across the country. Berly McCoy reports. 

Today we launch a new pop-up podcast miniseries that takes your ears into the deep sound of nature. Host Jacob Job, an ecologist and audiophile, brings you inches away from a multitude of creatures, great and small, amid the sonic grandeur of nature. You may not be easily able to access these places amid the pandemic, but after you take this acoustic journey, you will be longing to get back outside.

Strap on some headphones, find a quiet place and prepare to experience the west side of Rocky Mountain National Park in Colorado.

You can catch more episodes in the series here.

Can you pick a lock with just a smartphone? New research shows that doing so is possible.

Today on the Science Talk podcast, Noam Slonim of IBM Research speaks to Scientific American about an impressive feat of computer engineering: an AI-powered autonomous system that can engage in complex debate with humans over issues ranging from subsidizing preschool and the merit of space exploration to the pros and cons of genetic engineering. 

In a new Nature paper, Slonim and his colleagues show that across 80 debate topics, Project Debater’s computational argument technology has performed very decently—with a human audience being the judge of that. “However, it is still somewhat inferior on average to the results obtained by expert human debaters,” Slonim says. 

In a 2019 San Francisco showcase, the system went head-to-head with expert debater Harish Natarajan. 

Beyond gaming, it’s rare to see humans and machines go against each other, let alone in an oratory competition.

Not unlike its human counterpart, the AI was given only 15 minutes to research the topic and prepare for the debate—rifling through thousands of gigabytes of information at record speed to form an opening statement and layer counterarguments that were later delivered through a robotic female voice, in fragments and with near perfect diction. 

It couldn’t best Natarajan in San Francisco, but in a different debate, the system—co-led by Slonim and fellow IBM researcher Ranit Aharonov—has managed to change the stance of nine people in a debate on the use of telemedicine, essentially swaying the debate to its side and rebutting the argument of its opponent.

In other words, in this realm, humans still prevail.

But how do you build the architecture for a complex system like this? Is the AI capable of recognizing meaning or larger contexts in a debate? Can a system descended from Project Debater one day intervene in real-life social media arguments to quell misinformation or stir a debate in one direction or another, for better or worse? We answer these questions and more in the podcast.

New research tries to tease out whether our closest animal relatives can be selfless

Today we bring you the second episode in a new podcast series: COVID, Quickly. Every two weeks, Scientific American’s senior health editors Tanya Lewis and Josh Fischman catch you up on the essential developments in the pandemic: from vaccines to new variants and everything in between.

Scientists studied three varieties of house mice and found that those who had lived alongside humans the longest were also the craftiest at solving food puzzles. Christopher Intagliata reports.

New research shows that when faced with an impossible task, the marsupials look to humans for help.

Today we begin a new podcast series: COVID, Quickly. Every two weeks, Scientific American’s senior health editors Tanya Lewis and Josh Fischman catch you up on the essential developments in the pandemic: from vaccines to new variants and everything in between.

You can call it the “revenge of the computer scientist.” An algorithm that made headlines for mastering the notoriously difficult Atari 2600 game Montezuma’s Revenge can now beat more games, achieving near perfect scores, and help robots explore real-world environments. Pakinam Amer reports.