NEBULA AI - Decentralized AI Blockchain

Thе systems thаt сurrеntlу оffеr Artіfісіаl Intelligence соmрutіng ѕеrvісеѕ аrе mаkіng аn аttеmрt аt mаkіng іnnоvаtіvе steps in the computing wоrld. Hоwеvеr, оnе great impediment іѕ the fасt thаt their ѕеtuрѕ аrе lаrgеlу сеntrаlіzеd. which makes them ѕuѕсерtіblе tо gеоgrарhісаl-rеlаtеd rеѕtrісtіоnѕ, risk of shut dоwn duе to thе fасt thаt іf the singly-situated setup shuts down, every оthеr аdjоіnіng рlаtfоrm hаѕ tо follow ѕuіt.

Dеѕріtе thе various еffоrtѕ bеіng undеrtаkеn bу thеѕе соmраnіеѕ to рrеvеnt brеасh оf ѕесurіtу, thеіr platforms hоwеvеr аlwауѕ dо fail tо рrоvіdе ample ѕесurіtу аnd optimum privacy fоr uѕеrѕ dаtа. In саѕе of leaks wіthіn thе companies оr gоvеrnmеntаl ѕаnсtіоnѕ, thеrеѕ hardly аnу ѕоlіd defense mесhаnіѕm. Thе blосkсhаіn tесhnоlоgу uses vаrіоuѕ mеtісulоuѕ and even redundant mеthоdѕ and dаtаbаѕеѕ to ensure аnd verify information authenticity.

Maintaining a сеntrаlіzеd рlаtfоrm іѕ cost-implicative. This іѕ duе to the rеlіаnсе on labour fоrсе. A labour-intensive activity wоuld of course have dіrесt іmрlісаtіоn on the оvеrаll соѕt of setting uр and ѕubѕеԛuеntlу maintaining оf thе ѕуѕtеm.

With Nebula AI’s cutting-edge blockchain technology, you are able to focus on key business features. We provide you with on-chain payment, rental computing resources, decentralized service, etc.

Nebula AI is a decentralized blockchain integrated with Artificial Intelligence and sharing economies. Nebula AI is building a decentralized Artificial intelligence computing Blockchain (NBAI) that reduces the energy costs of traditional Proof of Work by converting GPU mining machines into AI computing services.

With the Nebula blockchain, developers can deploy their Artificial Intelligence applications easily on a blockchain platform. The integrated API/SDK and payment services allow the developers to earn revenue based on the AI smart contract.

Nebula AI also allows the GPU miners to contribute their GPU hash power to AI computing power which allow for a variety of AI applications. This invention allows Nebula AI to compete with the pricing of Amazon and Google cloud computing services. The decentralized Artificial intelligence computing Blockchain (NBAI) also reduces the energy costs of traditional Proof of Work by converting GPU mining machines into AI computing services.

The Mission

Using blockchain and Artificial Intelligence technologies to create new business networks with more trust and transparency. We leverage our proven methodologies and advanced technologies to drive game changing business outcomes and optimise organisational processes.

Nebula AI have ambitious goals which will enable them to set new standards. To achieve this goal, a strong Team is built with all the necessary skills, talents and long-time experience needed for the project. Most of the team members on Nebula AI have verified LinkedIn profiles. This is all good because the more transparency a company have in regard to their team, the more trustworthy they typically are.

NEBULA AI ECOSYSTEM

The NBAI ecosystem consists of two major components, the NBAI foundation and the NBAI system. The NBAI foundation supports the development, operation, and management of blockchain development platforms, AI joint labs, and engineer training centers. The NBAI system integrates the top-level applications such as DAI App, scientific research and application, university education, and the bottom-level of NBAI blockchain, Artificial Intelligence Mining Machine and Artificial Intelligence Data Center.

Developers provide users with DAI Apps, users pay for NBAI tokens or use Apps for free based on the rules set by the developers. Developers submit artificial intelligence tasks to NBAI and pay for NBAI tokens based on NBAI’s estimated costs. Thereafter, NBAI will open the tasks, and miners are free to receive and handle the tasks from NBAI. NBAI will obtain the corresponding NBAI token as a reward after completing the tasks. Clients and miners can trade NBAI tokens through the cross chain token exchange platforms, so as to achieve a complete set of value-added economic systems.

Another area where Nebula AI is also effective is in data storage and security. knowing that users’ data security cannot be 100% guaranteed, Nebula AI Foundation offers its services to companies by leveraging the AI and machine learning (ML) capabilities to unite human expertise and computer insights. And also to automate decision making, making faster decisions, gaining deeper insights and triggering smart actions based on new opportunities.

The use of Machine Learning algorithms, which analyze big, complex data, automate decision making and accurately predict outcomes that are beyond human capabilities. Advanced AI models that change the way our customers do business and helps them achieve better results, are also services Nebula AI renders.

Nebula AI also makes use of the Integrated IPFS Distributed Storage in terms of user's data security and storage. This storage is a protocol and eponymous network designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a distributed file system. The nodes in the IPFS network will form a distributed file system. The IPFS (Inter-Planetary File System) storage system to replace the traditional centralized cloud storage or local file storage, in order to achieve better distributed storage.

NBAI will has provided lasting solutions to the issues of Centralization and ensure no one company have full access to all your data without your Authority. This will be done perfectly by combined usage of IPFS, multiple private keys for access control and data verification which makes sure Data cannot be tampered with. This way you can be sure that your Data won’t be misused or even accessed by who shouldn’t have access to it.

High energy cost and consumption will be eradicated, Nebula AI will lease the GPU power from users by creating a generic connection pool, A distributed computing network with way less computing power. Programmers don't have to buy entire systems, rather they could share computing power on a huge network. Programmers will have the ability to progress Artificial intelligence and this allows the production of better Technology that everyone can use.

Nebula AI is a blockchain & AI enterprise service provider. Which have developed and implemented customized solutions that grow from proof to concept within a secure, fully scalable production network. With already developed several DAI Apps including Quant AI, a trading forecast tool, AI Sentiment Analysis, a natural language processing app which identifies and extracts subjective information from written text, and Biomed AI, a medical imaging evaluation tool, Nebula AI aims to to improve the status quo of the current centralized cloud computing ecosystem, and also intend to utilize the decentralization of blockchain technology to rent and distribute the computing power of artificial intelligence machines globally.

TECHNOLOGIES

QUANT AI

Quant AI is Nebula’s cutting-edge trading price prediction DAI App. Quant AI analyzes time series and trains deep learning models based on AI algorithm to forecast real-time trends.

BIOMEDICAL AI

Biomed AI is a medical imaging evaluation tool that offers a paradigm shift in streamlining of electronic medical records (EMRs). Biomed AI improves medical imaging practice, diagnosis of illness, treatment planning and results assessment. It identifies high risk patients earlier, facilitate disease prevention programs, optimizes worklist prioritization for urgent cases and manages population health programs to reduce cost of care.

AI SENTIMENT ANALYSIS

AI Sentiment Analysis is a natural language processing DAI App developed by Nebula AI. It helps users classify the polarity of a given text and extract the attitude of the writer. It is currently used as a price prediction model for trading, evaluation of consumer inclination, online conversations positioning and content inclinations.

TOKEN SALE AND ICO DETAILS: Use Value of Tokens

The NBAI token is used to purchase computing power. When the training data is relatively small, the number of tokens consumed is less, and when the training data is large, the token consumed increases accordingly. The number of NBAI tokens used depends on the training costs(time and computing power consumed for specific task) and the value of the current token.

THE NBAI TOKEN DETAILS