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.
Security researchers warned Australia should not rely on any online voting system that lacks a thorough ballot-verification method, to ensure against fraudulent...Computerworld From ACM TechNews | October 18, 2019
Apple has partnered with the Royal National Institute of Blind People in the U.K. to expand its Everyone Can Code curriculum to visually impaired students.
Computerworld From ACM TechNews | January 25, 2019
An artificial intelligence system called Libratus has gained the upper hand against human poker players in the first week of a 20-day tournament in Pittsburgh.
...Computerworld From ACM TechNews | January 20, 2017
Four top professional poker players will challenge an artificial intelligence system in a 20-day Heads-Up No-Limit Texas Hold'em poker tournament billed as an "epic...Computerworld From ACM TechNews | January 6, 2017
University of Tokyo researchers have developed a thin-film electronic display that can be laminated onto a person's body without the wearer knowing it is there. ...Computerworld From ACM TechNews | April 21, 2016
As the Internet of Things continues to develop, weather systems will collect data from vehicles on the road and wirelessly transmit road condition and weather data...Computerworld From ACM TechNews | January 6, 2016
Facebook chief technology officer Mike Schroepfer says the volume of data Facebook serves to users' News Feeds is increasing about 50 percent annually.Computerworld From ACM TechNews | November 6, 2015
University of California, Berkeley professor Alberto Sangiovanni-Vincentelli predicts the world will be completely suffused with tiny sensors within 10 years. Computerworld From ACM TechNews | September 11, 2015
Researchers have developed a machine-learning algorithm that can predict days in advance how much power solar and wind plants will generate for the U.S. power grid...Computerworld From ACM TechNews | July 20, 2015