Friday, August 3, 2018

LIOS PLATORM: BLOCKCHAIN & AI BASED LINGUISTIC TECH BY SYSTRAN

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INTRODUCTION

For the last 5 decades, SYSTRAN has been the market leader in language-translation products and solutions, covering all types of platforms, from desktop, web service, to enterprise server. In addition, SYSTRAN has achieved remarkable business results in the field of artificial intelligence based on deep learning and machine learning technologies. 

OpenNMT is an open source project for the language intelligence development that Harvard University’s Natural Language Processing (NLP) group and SYSTRAN have launched since 2016. OpenNMT has made prominent technological achievements active user contributions and R&D activities by a large number of developers and experts worldwide and has been ranked 26 out of 8,800 projects in the field of artificial intelligence. 

The Language service market and AI market size is estimated to be worth over USD 100 billion by 2023. The industry of artificial intelligence-based translation and language processing technologies has high growth potential and the market is also rapidly expanding. On the other hand, there are various problems to be resolved such as management of copyrights and IP ownership, fair distribution of profits and technology monopolies. 
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To address the raised issues, SYSTRAN is initiating the Linguistic Intelligence Open Source (LIOS) platform, a combination of OpenNMT and the blockchain technology. For more about LIOS, let's find out in this brief review.

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ABOUT LIOS

The LIOS Platform consists of a multi blockchain-based marketplace, SaaS and OpenNMT, and offers digital contents trade, application development, and enhanced artificial intelligence-based language technologies. These elements combine to form a hyper-connected network which creates synergy. 

The LIOS Platform targets Hyper Translation and Hyper-Connected Network Ecosystem which principally make use of blockchain and artificial intelligence-based language technologies. By offering a virtuous cycle that shares related technologies, rapid and inexpensive supply of products and services and fair distribution of profit in a transparent manner, the LIOS ecosystem will have sustainability and high scalability. 

The transaction model in the LIOS Platform is diverse. There will be data transactions for translation and translation engines, application transactions that follow technical translation engine fixes, and service transactions that these two models combine in various ways. The locklock-based pricing function and value distribution function in the LIOS Platform system will implement the actual model.

Hyper-Translation is not only a guaranteed copyrights, content creation and distribution in the blockchain database, also includes a reproduction of value and process of exchange in the market of the subsystem which is built into ecosystem. It can be categorized largely as "creation and assignment of copyrights in copyrighted materials / distribution of copyrighted materials / purchase of copyrighted materials / development and registration of applications / purchase of applications / development and registration of services / use of services / payment of platform fees. 

Each type exchanges actual values with overlays and repetitions, and it is a Hyper-Translation that is designed as a translation process for all processes between people, people to systems, or systems to a LIOS coin (LIO) system operating as the default medium in the Hyper-Translation process.

The LIOS project is a new paradigm of hyper-connected networks that evolve by participants. To implement the project, Systran proceed with LIO Token Generation Event (TGE). 

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LIOS TOKEN (LIO) ICO

Token info

Token: LIO
Platform: Ethereum
Type: ERC20
Total Token Issuance: 8,000,000,000 LIO
Country: USA

Investment info

Tokens for Sale: 4,800,000,000 (60%)
Price in ICO: 1 LIO = $0.05 USD
Min. investment: 0.1 ETH
Accepting: ETH
Soft cap: 50,000,000 USD
Hard cap: 200,000,000 USD

Token Distribution



For more information about LIOS Platform you can visit the links below:

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