Fujitsu and France's Inria Develop New Time-Series AI Technology to Identify Causes of Data Anomalies
Fujitsu and France's Inria Develop New Time-Series AI Technology to Identify Causes of Data Anomalies Fig. 1 TDA-based technology for identifying the causes detecting anomalies Fig. 2 EEG data of delirium state (blue line) and EEG data judged to be normal generated by this technology (red line) In recent years, various kinds of time-series data collected in fields including healthcare, social infrastructure, and manufacturing have been leveraged by AI to perform situational judgment and detect anomalies. In the case of time-series data, however, there are a wide range of factors that can cont...
Source: finanznachrichten.de