Fujitsu and France's Inria Develop New Time-Series AI Technology to Identify Causes of Data Anomalies
TOKYO, Jul 16, 2021 - (JCN Newswire) - Fujitsu Limited and Inria, the French national research institute for digital science and technology, today announced the development of a new AI technology that can identify factors contributing to anomalies in time series data.
|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 contribute to AI decision-making. This means that even experts find it difficult to notice what kind of changes in the data contributed to an anomaly detection making it difficult to take appropriate measures to prevent their occurrence.
Fujitsu and Inria, more specifically the Inria's DATASHAPE Project Team led by Frederic Chazal in France, have now successfully developed a new technology based on Topological Data Analysis (TDA)(1) that can identify the factors contributing to anomaly detections by AI for time series data and visualize the differences in AI decisions during normal and anomalous circumstances.
Fujitsu and Inria anticipate that this will contribute to the analysis of the causes of anomalies in time series data for various phenomena, clarifying the mechanism surrounding the occurrence of anomalies, as well as the discovery of new solutions to these.
This technology will be presented as one of just 3% of total submitted papers as a "Long Talk" presentation at the Thirty-eighth International Conference on Machine Learning (ICML), the leading international conference in the field of machine learning, which opens virtually from July 18th, 2021.
Newly Developed Technology
Fujitsu and Inria have developed an AI technology that can determine the cause of anomalies in time-series data, consisting of the following key features.
1) Using an analysis technology developed by Fujitsu that extract features that affect judgement from time-series data and detects anomalies (2), the characteristics that led to the anomalous judgment as well as the unrelated characteristics from the data that was judged to be anomalous by the AI are mapped onto a plane (TDA space).
2) The technology transforms the point data of the characteristic that is the cause closer to the point data group of the characteristic that is not the cause on the plane.
3) The time-series data is deformed based on the conversion of the characteristics of the point data, and the data judged to be normal is generated.
This allows the waveform of normal and anomalous time-series data to be compared and enables the user to visually investigate the cause of the anomaly.
The newly developed technology was applied to test the possibility of detecting symptoms of delirium (3) using actual electroencephalography (EEG) data (4) collected in strict accordance with ethical guidelines. Using the newly developed technology, it was confirmed that the characteristics of the brain wave of the time series data coincided with the "slowing" phenomenon (5) that at times accompanies the state of delirium. These results offer the potential to help medical professionals interpret the data to help determine the cause of these symptoms. This may one day contribute to important medical developments, including the ability to discover possible precursors to diseases that have been difficult to identify with conventional techniques, as well as the discovery of preventive treatments. The technology could also be applied to shed light on the mechanisms of diseases that are not yet well-understood.
Comments from Dr. Gen Shinozaki, ASSOCIATE PROFESSOR OF PSYCHIATRY AND BEHAVIORAL SCIENCES, Stanford University School of Medicine
Due to the nature of the random signals, it has proven difficult to use EEG data quantitatively and accurately to identify certain disorders. In recent years, advances in data processing technologies, such as AI, have made it possible to better understand the characteristic changes in subtle brain waves. These advances are important not only for diagnosing various disorders, but also for understanding the treatment response and the pathophysiological mechanism. The technology developed by Fujitsu and Inria has successfully captured the unique characteristics of brain waves in patients suffering from delirium. In addition to verifying this, we anticipate that further improvement and practical use of this technology will ultimately offer the potential to achieve accurate diagnosis, monitoring of treatment response and the elucidation of pathophysiology for other disorders.
Fujitsu and Inria plan to encourage the use of the jointly developed technology in field work and experiments at companies and research institutes, and proceed with verifying the technology.
(1) Topological Data Analysis (TDA):
A method for analyzing data in which data are arrayed in a cluster of points in space, and geometric data is extracted from the cluster.
(2) an analysis technology developed by Fujitsu that classifies time-series data by features and detects anomalies:
Fujitsu and France's Inria Jointly Develop Technology to Automatically Create Anomaly-Detecting AI Models (Press Release: 2020/3/16)
a syndrome, or group of symptoms, caused by a disturbance in the normal functioning of the brain.
(4) actual EEG data:
the newly developed technology was applied to the electroencephalographic data of approximately 600 patients, who consented to participate in research with Dr. Shinozaki, at the University of Iowa. Professor Shinozaki has been an Associate Professor at Stanford University since June 2021.
(5) slowing phenomenon:
a phenomenon that frequently occurs in the EEG data of patients suffering from delirium.
Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 126,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$34 billion) for the fiscal year ended March 31, 2021. For more information, please see www.fujitsu.com.
Inria is the French national research institute for digital science and technology. World-class research, technological innovation and entrepreneurial risk are its DNA. In 200 project teams, most of which are shared with major research universities, more than 3,500 researchers and engineers explore new paths, often in an interdisciplinary manner and in collaboration with industrial partners to meet ambitious challenges.
As a technological institute, Inria supports the diversity of innovation pathways: from open source software publishing to the creation of technological startups (Deeptech).
Source: Fujitsu Ltd
Sectors: Cloud & Enterprise, Artificial Intel [AI]
Copyright ©2021 JCN Newswire. All rights reserved. A division of Japan Corporate News Network.
Latest Press Release
More Latest Release >>
Hydrogen-powered Engine Corolla Takes on the Challenge of Transporting Imported Hydrogen at Super Taikyu Series 2021 Suzuka S-tai
Sep 20, 2021 09:03 JST
Honda Exhibits the World Premiere of All-new BF150, BF135 and BF115 Large-size Marine Outboard Engines at the Genoa International Boat Show 2021
Sep 16, 2021 19:08 JST
Applus+ IDIADA and MHI Group to Develop Testing and Verification System for Highly Automated Vehicles
Sep 16, 2021 14:52 JST
Honda: Takahisa Fujinami to End 26-Year Trial World Championship Career
Sep 15, 2021 19:30 JST
NEC Utilizes Digital Technologies to Create Healthcare and Life Science Business
Sep 15, 2021 09:59 JST
Eisai to Join The Global Environmental Initiative "RE100"
Sep 14, 2021 17:46 JST
Telefonica and NEC to Build Open RAN Live Pilots in 4 Global Markets as a Key Milestone Toward Mass Deployment
Sep 14, 2021 17:03 JST
Toyota to Launch All-New Corolla Cross
Sep 14, 2021 14:05 JST
Eisai to Present Abstracts on Oncology Products and Pipeline at ESMO Virtual Congress 2021
Sep 14, 2021 12:36 JST
Lucid and Cross Marketing Co. Ltd. partner on 'Global QiQUMO'
Sep 14, 2021 09:00 JST
Showa Denko Concludes Long-Term Contract to Supply SiC Epitaxial Wafers for ROHM Co., Ltd.
Sep 13, 2021 17:00 JST
AbbVie, Eisai, and EA Pharma Launch "Humira Support Tool Ordering Service for Patients"
Sep 13, 2021 16:37 JST
Epic Triumph for Rovanpera and the Toyota Yaris WRC in Greece
Sep 13, 2021 14:34 JST
Mitsubishi Heavy Industries and Osaka Gas Acquire Clean Energy Solution, Brighter Future Solar Project
Sep 13, 2021 13:04 JST
Hitachi Sets New Target to Contribute to a Net Zero Society
Sep 13, 2021 11:41 JST
Tech Leaders from The Philippines to Draw Insights From Use-Cases and Informative Keynotes at Trescon's World AI & RPA Show
Sep 11, 2021 09:00 JST
MHI Thermal Systems' Air Conditioners for the Australian Market Receive Highest Ratings Once Again
Sep 10, 2021 13:02 JST
Chevron Agrees on Framework to Join Hydrogen Joint Venture with Magnum Development and Mitsubishi Power
Sep 10, 2021 11:15 JST
Hitachi Elevator Philippines Receives 67 Elevators and Escalators Order for Its First Railway System Project
Sep 09, 2021 13:57 JST
Mitsubishi Corporation and Shell Sign MoU to Collaborate on Hydrogen Plans in Alberta
Sep 09, 2021 12:36 JST