Graph Grail is a platform that deals with linguistic analysis. In Graph Grails see the current linguistic analysis (with respect to data mining) too limited in scope for useful artificial neural networks, and real time information outside digital media (weather, legal / political decisions, annoyance at company status ...).
So how will Graph Graph fix current limited data mining? Graph Grail is developing AI that has the ability to handle data collection processing more efficiently and with more features then existing linguistic technology. The purpose of the AI Graph Grail is to create a linguistic processor that will prepare, clean, build models and learn. Grail AI graphics should make linguistics less labor intensive, meaning less proficient users should be able to achieve more accurate results, then with current linguistic / data mining functions. Decentralized apps (dapp) are running as well, where money can be made on top of the platform.
Graph Grail AI (GraphGrail) - the first platform for artificial intelligence for Blochein, built on natural language processing technology with a decentralized app market.
Our Mission: Creation of a powerful Artificial Intelligence, which will be open to the entire community, controlled and developed by developer companies from around the world.
We are developing a platform for analyzing large amounts of text data, solving the problem of knowledge mining and complex semantic classification based on machine learning, artificial neural networks and in-depth learning technology, prioritizing banking, biotechnology and medicine, security and
compliance with laws and regulations
The key element of the platform is the universal designer for complex classification in the sense of Ai's designer text.
In 2 years, our team conducts research and development (R & D) on natural language analysis (NLP), information search and artificial neural networks.
The result is a language model designer: it allows anyone
Users with a simple mouse click create models and trains
Artificial neural networks for various tasks. Various applications: from spamming models to text-style differentiation, from fake queries based on language attributes to test complex conditions in an intellectual blockbuster contract.
An important feature of this platform is to provide an entire working cycle with data: from collection, markup to final results. Heads of companies, autorun owners, developers,
Scientists will have rich APIs and APIs
the ability to create custom applets (applications) for integration into their services and applications. Thus, we allow other companies to make decisions about our services and apply them
in their business
Users from around the world without special knowledge will be able to earn revenue on the platform, create, improve, and choose language models. For this, the project uses GAI marker (Graphgrail + AI) based on the Etereum block system. In this case,
Models may vary: complex, predictive or better vorfloe classification to train neural networks.
GraphGrail Ai (http://graphgrail.com) develops artificial intelligence platforms in blockbusters and international QUANTOR platforms (https://quantor.co), expands the use of computer technology for investment and algorithmic commerce, achieves collaborative agreements and strategic partnerships,
As part of the partnership, the QUANTOR platform will be among the first to gain access to new services developed for its customers, including intellectual analysis of streaming text data that can be used on dashboards and consultants for financial products.
The GraphGrail Ai company, sent to ICO in the fall, will in turn test the marker business model and release new products to the financial analysis market.
Successful experience in the preparation and implementation of ICO GraphGrail Ai in the future can be used by the QUANTOR platform for self-employed work with ICO.
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Telegram: https://t.me/GraphGrailAi
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http://graphgrail.com