Companies rely on real-world data to train artificial-intelligence models that can identify anomalies, make predictions and generate insights. But often, it isn’t enough.
To detect credit-card fraud, for example, researchers train AI models to look for specific patterns of known suspicious behavior, gleaned from troves of data. But unique, or rare, types of fraud are difficult to detect when there isn’t enough data to support the algorithm’s training.
To…
Kashechewan First Nation in northern Ontario is experiencing a “deepening state of emergency” as a result of surging COVID-19 cases in the community...
The virus that causes COVID-19 could have started spreading in China as early as October 2019, two months before the first case was identified in the central city of Wuhan, a new study...
April Ross and Alix Klineman won the first Olympic gold medal for the United States in women’s beach volleyball since 2012 on Friday,...
Greater than 100 Broncos previous and current had been among the many 500 who attended the ceremony Monday in Atlanta that honored Thomas, who...
