Fujitsu Develops New Deep Learning Technology to Analyze Time-Series Data with High Precision

KAWASAKI, Japan, Feb 16, 2016 – (JCN Newswire) – Fujitsu Laboratories Ltd. today announced that it has developed deep learning technology(1) that can analyze time-series data with a high degree of accuracy. Demonstrating promise for Internet-of-Things applications, time-series data can also be subject to severe volatility, making it difficult for people to discern patterns in the data.Deep learning technology, which is attracting attention as a breakthrough in the advance of artificial intelligence, has achieved extremely high recognition accuracy with images and speech, but the types of data to which it can be applied is still limited. In particular, it has been difficult to accurately and automatically classify volatile time-series data – such as that taken from IoT devices – of which people have difficulty discerning patterns.Now Fujitsu Laboratories has developed…


Link to Full Article: Fujitsu Develops New Deep Learning Technology to Analyze Time-Series Data with High Precision