Measurement has driven research groups to home in on the most popular datasets, but that may change as metrics shift to real-world quality.
Chris Edwards From Communications of the ACM | September 1, 2022
University of Washington researchers have disproved Google's claims it corrected gender biases for certain job terms in its image search.
University of Washington News From ACM TechNews | February 18, 2022
Google routinely restricts in-depth information until a majority of users have had the chance to apply the update, which will be rolled out in the near future. ...Forbes From ACM News | February 15, 2022
A focus on causality is promising to help researchers overcome shortcomings that have bedeviled more traditional approaches to artificial intelligence.
Marina Krakovsky From Communications of the ACM | February 1, 2022
Researchers at Germany's Martin Luther University Halle-Wittenberg and Russia's Ural Federal University found search engines often return inaccurate health information...Martin Luther University Halle-Wittenberg From ACM TechNews | November 9, 2021
Research by neuroscientists suggests the latest predictive language models' underlying mechanism functions similarly to the human brain's language-processing centers...MIT News From ACM TechNews | October 27, 2021
Key questions and challenges remain, including how to scale qubit devices while reducing noise and errors to the point where the devices become useful.
Samuel Greengard From Communications of the ACM | November 1, 2021
Pennsylvania State University scientists have designed a search engine that uses artificial intelligence to sift through millions of online documents.
Penn State News From ACM TechNews | October 18, 2021
In U.K. Parliament testimony, Google's chief Internet evangelist gave a frank explanation of why its systems can't always tell good information from bad.
Fast Company From ACM News | September 27, 2021