Scientists suggest crowdsourced assessments from groups of normal readers can virtually match those of professional fact-checkers in vetting news stories.
MIT News From ACM TechNews | September 9, 2021
Researchers contend Russia's use of North Korean IP addresses for a 2018 cyberattack underscored the need for a new cybersecurity strategy involving selective retaliation...MIT News From ACM TechNews | December 28, 2020
A platform developed by researchers at the Massachusetts Institute of Technology can quantify security risks for companies without requiring them to disclose sensitive...MIT News From ACM TechNews | September 10, 2020
Researchers have developed an automated artificial intelligence system for training and running certain types of neural networks, which has a small carbon footprint...MIT News From ACM TechNews | May 4, 2020
Massachusetts Institute of Technology engineers have created a system that perceives tiny fluctuations in ground shadows to ascertain whether an unseen object is...MIT News From ACM TechNews | October 28, 2019
Researchers suggest the vulnerability of compressed, or quantized, artificial intelligence models to adversarial attack could be remedied by adding a mathematical...MIT News From ACM TechNews | May 2, 2019
Massachusetts Institute of Technology researchers demonstrated that crowdsourced judgments about the quality of news sources can marginalize online misinformation...MIT News From ACM TechNews | January 31, 2019
A new machine learning technique can drastically reduce false positives in fraud-detecting technology that incorrectly flag credit card sales as suspicious.
MIT News From ACM TechNews | October 2, 2018
The new Veil system is designed to improve private browsing by guaranteeing that any data the browser loads into memory remains encrypted until it is displayed...MIT News From ACM TechNews | February 28, 2018