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Fujitsu develops AI technology to find characteristics in high dimensional data

New Delhi, Tue, 14 Jul 2020 NI Wire

World’s first AI technology for analyzing data and discovering characteristics in high dimensional developed by Fujitsu. Fujitsu develops AI technology which is said to be the world’s first AI technology for discovering features and characteristics in high dimensional data.

For those unaware, Fujitsu Limited is a Japanese company that is well known to develop high end technology gadgetry and services. It is headquartered in Tokyo and is the fourth largest IT service provider in the world.

Now, the company has declared that it has invented the world’s first Artificial Intelligence technology for the purpose of accurately catching and utilizing essential features like probability and dissemination of high dimensional information and data.

As per Akira Nakagawa who is the Associate Fellow at Fujitsu Laboratories, the innovation is a pivotal advancement when it comes to Artificial Intelligence towards the path of probability and data dispersion. As stated by her, the company feels that this innovation will prove to be of utmost importance when it comes to execution enhancements for AI.

Nakagawa also said that the company cannot wait to share this knowledge that will change the artificial technology as we know it.

This technology has been of great help to Fujitsu because it unifies data learning and image compression technology over which the company has proficiency. The AI innovation is planned for advancing the handling of high-dimensional information with deep learning technology for picking up exactness in extraction of data.

It has been said that high dimensional data incorporates ingress over pictures and data through various networks of communication. Thus, engagement in high dimensional data can be very perplexing. Thus, this is where deep learning comes into action as it significantly shrinks the number of dimensions but in this process makes the result somewhat erroneous. In this manner, it gets pivotal to tackle these issues and precisely gain the probability and distribution of high-dimensional data in the AI stratum.

Sources also state that these points were discussed by the company at International Conference on Machine Learning 2020.

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