The news archive provides access to past news stories from Communications of the ACM and other sources by date.
Delivery robot manufacturer Starship Technologies recently expanded its robot-based food delivery services to two additional campuses.
A study of 2020 data by the Information Technology and Innovation Foundation confirmed the U.S. leads the world in the development and use of artificial intelligence.
A team of scientists used the Oak Ridge National Laboratory's Summit supercomputer to measure quark interactions in hadrons.
Estonia's i-Voting online voting system was used to cast more than 40% of ballots in its March 2019 parliamentary elections.
University of Massachusetts Amherst Distinguished Professor Prashant Shenoy has been named founding chair of the new ACM Special Interest Group on Energy (SIGENERGY).
Tim Cook says there will be consequences to having 'rampant disinformation and conspiracy theories juiced by algorithms'.
The company says its new system is a leap ahead from previous technology.
Researchers formulated a new artificial intelligence method for reasoning about uncertainty.
Researchers at The University of Texas MD Anderson Cancer Center have developed a computational tool that can reliably distinguish between cancerous and normal cells in tumor samples.
Scientists have decrypted the biomechanical function of the labial mask of dragonfly larvae, leading to a bio-inspired robot modeled after the same operating principle.
Artificial intelligence makes it hard to tell when decision-making is biased.
Charlie Blackwell-Thompson is the first woman to serve as launch director for the U.S. space agency.
Requiring that app makers list the data they collect reveals a lot about what some apps do with our information (ahem, WhatsApp) but creates confusion about others.
Lambda allows users to define new functions written in Excel's own formula language.
A technology developed at Australia's University of New South Wales Sydney enables three-dimensional printers to print bone-like structures, complete with living cells.
A team of researchers has developed an artificial intelligence chess engine that is trained to play like, rather than beat, humans.
A synthesizing compiler for homomorphic encryption can translate a plain-text unencrypted codebase into encrypted code on the fly.
Rensselaer Polytechnic Institute researchers have determined that artificial intelligence can help assess news stories accurately, but only when a story is first emerging.
China continues to be the biggest market for industrial robots, even though the market’s growth had been slowing prior to the pandemic, due to the U.S.-China trade war.
Cybersecurity analysts are in great demand thanks to the surge in remote work due to the pandemic; hiring more women can help narrow the talent gap.
Companies inspired by the cryptocurrency are creating social networks, storing online content and hosting websites without any central authority.
In a survey of information technology leaders, 41% of respondents expect artificial intelligence to take over their roles by 2030.
Nanoengineers have developed a new machine learning method that uses low-quality data to predict material properties with greater accuracy than existing models.
India's Ministry of Electronics and Information Technology said it is collaborating with Amazon Web Services to develop a Quantum Computing Applications Lab.
An ecosystem is emerging for ‘digital human’ development.
Ethical-source leaders are trying to find more support for their open-source approach by creating the Organization for Ethical Source.
Finnish and Danish researchers have developed an algorithm that boosts diversity of exposure on social networks, while still ensuring widely shared content.
Scientists have developed a validation protocol for simulations of the atomic structure of an interface between a solid metallic oxide and liquid water.
Researchers have uncovered seven vulnerabilities that affect Dnsmasq, a domain name system forwarding client for *NIX-based operating systems.
Computer scientists are using generative adversarial networks to train robots about objects.