|
| Friday, 25 October 2019, 12:28 HKT/SGT | |
| |  | |
Source: Fujitsu Ltd | |
|
|
|
|
| Accurate annotation of changing data to automate AI accuracy estimation and restoration |
KAWASAKI, Japan, Oct 25, 2019 - (JCN Newswire) - Fujitsu Laboratories, Ltd., has announced the development of the world's first "High Durability Learning" technology that estimates the accuracy of AI and automatically restores AI models. In a business context, AI models often struggle to maintain accuracy over the course of operations due to frequent changes in input data caused by shifts in social conditions and market trends. The newly developed technology makes it possible to automatically estimate the accuracy of the AI model during operations while preventing deterioration of its accuracy.
 | | Figure 1. Challenges in AI Operations (Examples of credit risk assessment in the financial sector) |
 | | Figure 2. Automatically annotation of input data with High Durability Learning |
This technology enables AI models to be maintained with high accuracy over a long period and enables stable AI operations in various circumstances. This technology will be offered as part of Fujitsu's Human Centric AI Zinrai, a comprehensive portfolio that encompasses Fujitsu's wide range of AI technologies and techniques.
Development Background
As AI models built from training data find additional uses in business, shifts in social conditions, market trends, and the environment can lead to changes in input data from the time when the model was initially trained. This causes deterioration of the accuracy of an AI model. When evaluating corporate credit risk in the financial sector using an AI model trained with corporate financial data, for instance, the accuracy of credit risk estimates will gradually deteriorate. This is because the tendencies of input data into the system will change over time after the model was initially trained due to broader trends in the economy. This makes it essential to periodically check the accuracy of AI models being used for business. If deterioration of the accuracy is confirmed, the AI model must be retrained using the latest data to restore the accuracy of its predictions.
Issues
Measuring the accuracy of the AI model requires the latest input data (Example: Financial Data) and the labeled data set (Example: Credit Risk). Preparing the labeled data is costly and labor-intensive, and it sometimes requires experts to annotate correct labels to large amounts of data. It is also difficult to determine when AI models should be retrained and it may be difficult to detect even if accuracy decreases significantly until its deterioration has actually been confirmed (Figure 1).
About the Newly Developed Technology
Fujitsu has developed a "High Durability Learning" technology that can estimate the accuracy of an AI model at any time during its operation and automatically restore it when deterioration of its accuracy is detected. The features of the developed technology are as follows.
1. Estimation of AI model's accuracy during operation
Correct labels can be automatically annotated to input data during operations by visually charting the distribution of training data used to train an AI model and the distribution of input data during operations, as well as by grasping tendencies of changes in data from the time of training to the time the model is used (Figure 2). This makes it possible to estimate the accuracy of the AI model at that point in time by comparing the estimated results of the original AI model against the input data with the automatically configured correct labels.
2. Controlling reductions inaccuracy by automatically restoring the AI model
Based on the correct labels given to the input data, the decision boundary of the AI model can be adjusted according to trends of the input data, so that the AI model can automatically adapt to the new input data. As a result, it is possible to effectively prevent decreases of the accuracy of AI model without performing retraining.
Effects
Using financial data from 3,800 companies, Fujitsu has verified our assessment of credit risk in the financial sector. This technology has made it possible to estimate the accuracy of AI model within a 3% error margin. We also confirmed that this technology can maintain the accuracy of AI at 89%, which was at 69% with the conventional technology. The new technology can maintain the accuracy of AI model over a long period, delivering reliable and stable operations for users. Fujitsu anticipates that its High Durability Learning technology will ultimately improve the efficiency of AI models not only in the financial sector but in various other businesses, as well, including for product classification in the retail sector and character recognition in the distribution and logistics sector.
Future Plans
Fujitsu aims to incorporate this technology into its goal-oriented "Design the Trusted Future by Data x AI" processes and framework, as well as for machine learning technologies in its Zinrai portfolio, and aiming to deliver practical use cases by the end of FY 2020.
About Fujitsu Laboratories
Founded in 1968 as a wholly-owned subsidiary of Fujitsu Limited, Fujitsu Laboratories Ltd. is one of the premier research centers in the world. With a global network of laboratories in Japan, China, the United States and Europe, the organization conducts a wide range of basic and applied research in the areas of Next-generation Services, Computer Servers, Networks, Electronic Devices, and Advanced Materials. For more information, please see http://www.fujitsu.com/jp/group/labs/en/.
Contact:
Fujitsu Laboratories Ltd.
Artificial Intelligence Laboratory
E-mail: highdurabilitylearning@ml.labs.fujitsu.com
Fujitsu Limited
Public and Investor Relations
Tel: +81-3-3215-5259
URL: www.fujitsu.com/global/news/contacts/
Topic: Press release summary
Source: Fujitsu Ltd
Sectors: Artificial Intel [AI]
http://www.acnnewswire.com
From the Asia Corporate News Network
Copyright © 2024 ACN Newswire. All rights reserved. A division of Asia Corporate News Network.
|
|
|
|
|
|
|
| Fujitsu Ltd |
| Apr 23, 2024 09:25 HKT/SGT |
|
Fujitsu SX Survey reveals key success factors for sustainability |
| Apr 22, 2024 15:09 HKT/SGT |
|
Fujitsu and METRON collaborate to drive ESG success: slashing energy costs, boosting productivity with new manufacturing industry solutions |
| Apr 19, 2024 09:17 HKT/SGT |
|
Fujitsu develops technology to convert corporate digital identity credentials, enabling participation of non-European companies in European data spaces |
| Apr 18, 2024 10:14 HKT/SGT |
|
Fujitsu and Oracle collaborate to deliver sovereign cloud and AI capabilities in Japan |
| Apr 11, 2024 14:10 HKT/SGT |
|
DOCOMO, NTT, NEC and Fujitsu Develop Top-level Sub-terahertz 6G Device Capable of Ultra-high-speed 100 Gbps Transmission |
| Apr 9, 2024 09:39 HKT/SGT |
|
Fujitsu AI transforms manufacturing lines with new quality control system for REHAU |
| Apr 1, 2024 15:17 HKT/SGT |
|
Fujitsu signs MoU with Mitsubishi UFJ Financial Group, Inc. to drive nature positive actions |
| Mar 29, 2024 09:28 HKT/SGT |
|
Fujitsu Selected as CDP Supplier Engagement Leader |
| Mar 26, 2024 09:24 HKT/SGT |
|
Fujitsu Tech Leverages AI and Underwater Drone Data for 'Ocean Digital Twin' |
| Mar 19, 2024 09:34 HKT/SGT |
|
Fujitsu Limited announces recruitment plans |
| More news >> |
 |
|
|
|
