The computational expense of creating three-dimensional images that can be viewed by all is just one factor holding them back…
From ACM NewsSandrine Ceurstemont Commissioned by CACM Staff| June 1, 2023
An edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.
The app, which allows people to record their symptoms, was remarkably effective in predicting infections. The most reliable indicators, researchers found, were...The New York Times From ACM News | May 13, 2020
The effectiveness of many technologies being developed to cope with wildfires in Australia hinges on the ability to predict how fuel types like eucalyptus trees...The New York Times From ACM TechNews | April 22, 2020
The National Football League is using a startup's artificial intelligence technology to remotely scout prospective players during the coronavirus restrictions.
...The New York Times From ACM TechNews | April 20, 2020
More than 2 million Britons and 150,000 Israelis have completed health surveys to trace COVID-19 outbreaks and send resources where they can do the most good.
The New York Times From ACM TechNews | April 6, 2020
Data suggests that mass business closures and social-distancing edicts imposed to fight the coronavirus pandemic are helping reduce the numbers of fevers recorded...The New York Times From ACM TechNews | April 1, 2020
Analysts in Northeastern University's Network Science Institute are predictively modeling the coronavirus pandemic by incorporating social networks.
The New York Times From ACM TechNews | March 31, 2020
Trucking companies are equipping drivers with wearable monitors that check for signs of fatigue, and notify them when it’s time to pull over and rest.
The New York Times From ACM TechNews | February 7, 2020
Surgeons are utilizing artificial intelligence and new imaging methods to diagnose brain tumors faster than pathologists, and with similar accuracy.
The New York Times From ACM TechNews | January 10, 2020
A study found most commercial facial recognition algorithms are biased, and falsely identify African-American and Asian faces 10 to 100 times more frequently than...The New York Times From ACM TechNews | December 20, 2019