Wednesday, October 13, 2021

A Blank Wall Can Show How Many People Are in a Room and What They're Doing

Trouble viewing? View in your browser.
View all Scientific American publications.
    
October 12, 2021

Dear Reader,

What can you learn from staring at a blank wall? If you're a human, not much. But a new algorithm can use footage of a wall to figure out how many people are moving around the room just out of sight—and what they're doing. 

Sophie Bushwick, Associate Editor, Technology
@sophiebushwick

Privacy

A Blank Wall Can Show How Many People Are in a Room and What They're Doing

The technique is the latest method to glean a surprising amount of surveillance from a meager source

By Sophie Bushwick

Mental Health

Facebook Whistleblower Testified That Company's Algorithms Are Dangerous: Here's Why

Frances Haugen confirmed the negative effects caused by attempts to maximize engagement
By Filippo Menczer,The Conversation US

Computing

The FDA Should Better Regulate Medical Algorithms

Most do not require the agency's approval, and those that do often don't require clinical trials

By Soleil Shah,Abdul El-Sayed

Nanotechnology

A Big Bet on Nanotechnology Has Paid Off

The National Nanotechnology Initiative promised a lot. It has delivered more

By Chad Mirkin

Quantum Physics

AI Designs Quantum Physics Experiments beyond What Any Human Has Conceived

Originally built to speed up calculations, a machine-learning system is now making shocking progress at the frontiers of experimental quantum physics

By Anil Ananthaswamy

Animals

Save the Right Whales by Cutting through the Wrong Noise

New noise-cutting tech could pinpoint North Atlantic right whales and other species

By Sam Jones

Computing

An Unsung Female Pioneer of Computer Simulation

A mid-20th-century computer experiment created a new field of science—and programmer Mary Tsingou Menzel is finally being given credit for her role in making it happen

By Virginia Grant

Exercise

Big Data, Questionable Benefits and My Girlfriend's Magic Ring

Wearable devices that track our health may do more harm than good

By John Horgan

Artificial Intelligence

What Is Machine Learning, and How Does It Work? Here's a Short Video Primer

Deep learning, neural networks, imitation games—what does any of this have to do with teaching computers to "learn"?

By Michael Tabb,Jeffery DelViscio,Andrea Gawrylewski
FROM THE STORE

QUOTE OF THE DAY

"It's very cool how Leo neatly solves some of the most difficult problems with bipedal robotics, including dynamic balancing and traversing large changes in height. And Leo can also do things that no biped (or human) can do, like actually fly short distances."

Evan Ackerman, IEEE Spectrum

ADVERTISEMENT

FROM THE ARCHIVE

Footstep Sensors Identify People by Gait

A supersensitive detector system can also glean clues about health

LATEST ISSUES

Questions?   Comments?

Send Us Your Feedback
Download the Scientific American App
Download on the App Store
Download on Google Play

To view this email as a web page, go here.

You received this email because you opted-in to receive email from Scientific American.

To ensure delivery please add news@email.scientificamerican.com to your address book.

Unsubscribe     Manage Email Preferences     Privacy Policy     Contact Us

Scientist Pankaj

Today in Science: The staggering success of vaccines

...