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An edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.


AI Can Diagnose COVID-19 Through Cellphone-Recorded Coughs ā€“ Even if You Don’t Have Symptoms
From ACM News

AI Can Diagnose COVID-19 Through Cellphone-Recorded Coughs ā€“ Even if You Don’t Have Symptoms

Results might provide a convenient screening tool for people who may not suspect they are infected.

Smarter Models, Smarter Choices
From ACM TechNews

Smarter Models, Smarter Choices

A new high-confidence approach to artificial intelligence-based models incorporates uncertainty, error, physical laws, expert knowledge, and missing data within...

With Deep Learning Algorithms, Standard CT Technology Produces Spectral Images
From ACM TechNews

With Deep Learning Algorithms, Standard CT Technology Produces Spectral Images

Engineers have developed a deep neural network that produces spectral images almost as well as dual-energy computed tomography imaging technology.

Brazil Launches AI Center
From ACM TechNews

Brazil Launches AI Center

Brazil's Artificial Intelligence Center officially launched earlier this month.

Google's Breast Cancer-Predicting AI Research Is Useless Without Transparency, Critics Say
From ACM TechNews

Google's Breast Cancer-Predicting AI Research Is Useless Without Transparency, Critics Say

Experts have taken issue with Google Health's artificial intelligence model for predicting breast cancer.

Activists Turn Facial Recognition Tools Against the Police
From ACM News

Activists Turn Facial Recognition Tools Against the Police

"We're now approaching the technological threshold where the little guys can do it to the big guys," one researcher said.

Driverless Cars Go Humble to Get Real
From ACM News

Driverless Cars Go Humble to Get Real

Recent developments point to promise for driverless car technology, if we stay realistic.

A Radical Technique Lets AI Learn with Practically No Data
From ACM TechNews

A Radical Technique Lets AI Learn with Practically No Data

Scientists at Canada's University of Waterloo suggest artificial intelligence models should be capable of “less than one”-shot learning.
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