GraphGrail AI - 아이는 Blockchain을 충족
GraphGrail 아이는 - Blockchain가 DApps 시장과 자연 언어 이해 기술 위에 구축을위한 인공 지능 플랫폼입니다. GraphGrail AI는 모두 하나의 전체주기 솔루션입니다. 그것은 텍스트 분석, 청소, 언어 모델을 구축하는 시설, 기계 학습 및 신경 네트워크의 조정 및 플랫폼으로 돈을 벌 수있는 분산 응용 프로그램 시장을 테스트하기위한 우리의 AI 디자이너를 포함하여 필요한 모든 데이터 준비 작업을 제공합니다. 당신은 다른 서비스를 필요로하지 않습니다.
STO/ICO기본정보
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기본정보
| 플랫폼 | Ethereum |
|---|---|
| 타입 | 불분명 |
| 참가가능화폐 | Others |
| 유통량/발행량 | 50% |
| KYC | 불분명 |
| 제한 구역 | 불분명 |
| 웹사이트 | 홈페이지 |
| 백서 | 다운로드 |
개요
Dapps marketplace
Whether you are a data scientist or businessman, you can make your own linguistic applications, sell them and make money.
Artificial Intelligence
With GraphGrail's AI platform, by using Google Tensorflow and other tools, you can create and teach neural networks for complex classifications.
Smart contracts
GraphGrail AI is the "brains" of a smart contract - a cross-blockchain service that uses webAPIs, datasources and analysis to automate contract execution.
Not enough datasets
What is the key problem in data-science and text mining? There simply aren't enough datasets with seven figure sample sizes (from thousand to million samples) to teach neural networks in many industries, including banking, telecom, media and government agencies. Even if the business does have such datasets, using machine learning to gather, clean and make training and test sets is extremely difficult and time consuming even for skilled data scientists. Training such as this can take between 5 and 10 months for a normal sized dataset, and even though we use neural networks and Deep Learning frameworks to simplify the task, it is a one time solution - every step must be repeated over and over again to keep your linguistic models up to date. That's why business truly needs GraphGrail AI.
Smart contracts risks
Smart contracts, by their nature, are able to run algorithmic calculations and store and retrieve data. Oracles fill this void by watching the blockchain (Ethereum, EOS, Bitshares) for events and responding to them by publishing the results of a query back to the contract. In this way, contracts can interact with the off-chain world. This introduces obvious trust problems. Another complex problem is to prove that smart contract conditions are executed in real world. Smart contracts can easily check the amount of a bank account, but real-world conditions like weather changes, companies' buy-sell events, political or legal decisions, contract details and force majeur events are much more complex. This is where GraphGrail AI comes in.
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