AIVON ICO OVERVIEW

brainerdpaul (-2)(1)in #ico • 6 years ago

The global cryptocurrency market started 2018 with a bang, hitting a record high of $700 billion in market capitalization. All signs point toward an increasingly large cryptocurrency exchange market as new crypto traders continue to join exchanges. The influx of people into the cryptocurrency market has made an astronomical rise in the adoption of blockchain technology. Numerous supporters, investors from different field of professions and businesses around the world have embraced new technological innovation which has helped reshape the world. Basically the rise of cryptocurrency and subsequent attention brought to blockchain technology has prompted nearly every industry to evaluate the benefits of integrating the technology into their operations One firm at the forefront of this innovation is AIVON Network a new decentralized protocol that's created and made via the power of an AI system. Owners and innovators of the AIVON Network program put jointly research and hard work to solves many problems in video files meta data, the safety of content, and internet video file localization. The AIVON Network will apply AI to make sure the safety of data from violence, nudity, alcohol, adult, guns and offensive language to name a few. The AIVON Network will generate a confidence rate and turn it into a content graph for accurate demonstration and viewing by consumers.

AIVON believes that Internet and services on the Internet must be decentralized or else there is too much power in too few powerful hands. AIVON focuses on decentralizing and democratizing online video, giving power back to Internet users. The problem of having the power of the Internet in just a few hands is that there is little or no transparency and even if these few companies mean well, they are now so big that there are many ways to destabilize them. In 2017, both Google and Facebook faced major scandals of bad actors taking advantage of loopholes in the system. Google’s YouTube was compromised multiple times with users posting content that was malevolent creating brand and content safety controversies. Facebook faced both a fake news problem and a data breach by Cambridge Analytica. This is why AIVON is applying blockchain to content and the underlying metadata that powers content cataloging, indexing, search, discovery, trade and monetization and AIVON believes that this will be the backbone of a decentralized video open network and search engine that could act as a check and balance on FAANG and BAT

Specialized AI algorithms will be deployed on mining nodes, so that miners’ CPU and GPU resources can be used to scan media files, generate the enhanced metadata including time-coded tags, classification, categories, transcripts and translations, and an index of the video objects.

AIVON platform will use AI to define a confidence score for each of several content safety attributes, such as: nudity, adult, offensive language, hate speech, violence, guns, alcohol etc. These confidence scores will be combined into a vector called a ContentGraphTM which can be visualized as a bar graph.

AIVON uses a network of freelancers with skills in tagging, metadata management, transcribing and translation. AIVON will empower its community with tools which enable individuals to review, verify and correct the AI-derived metadata, including the categorizations, transcriptions and translations.

AIVON nodes will record their metadata in JSON format anchored to the Ethereum blockchain. Most of the metadata will not be stored directly in the blockchain, but linked to it using the EIDR identifier. This is because the size of the data can be quite large, especially when you include transcripts and translations. A ContentGraph can be visualized as a bar graph where content attributes are plotted along the horizontal axis and confidence scores plotted on the vertical axis. There will be attributes where the confidence is zero and the feature is not detected. The left-to-right ordering is reserved based on the schema, so that two or more ContentGraph patterns can be compared

AIVON believes the need for OVSE will be in high demand as video becomes harder to find and discover. While YouTube is viewed as a video search engine, it is really a video hosting platform and one can only find videos that users upload to YouTube, which is mostly user-generated and long tail content. Most premium content publishers typically do not upload their premium video content to YouTube, preferring to upload to their own video site or app.

AIVON ECOSYSTEM

Requesters

Requesters submit videos files to AIVON Network to obtain a normalized meta data of videos file.

Requesters also pay for the job in the resident token of AIVON Network (AVN).

CRP or Computing Resource Providers

Providers run AIVON Network decentralized public source AI tool that runs inside isolated DOCKER container and is backed on well-liked Deep Learning frame works like TensorFlow and Caffe; Convolutional Neural Network will be applied as it's the present up to date model architecture for picture classification tasks.

Providers share its PC's computing resource (CPU and GPU) to run AIVON Network AI tool to generate the improved metadata including Content Graph.

Providers earn AVN token in exchange for the given computing resource and jobs performed.

HE or Human Experts

Human Experts also give further meta data that can't be simply developed by AI

Human Experts perform easy micro tasks to authenticate that the productivity from AI.

Relevant outcomes can be fed into the Artificial Intelligence network to teach and enhance it.

Human specialists get token in exchange for finely performed tasks.

Validators

Validators stake a large amount of AIVON Network Token and earn the rights to perform the following jobs in accordance to an agreement: (i) Picking-up the chunks of video content jobs and distributing them to workers and providers. (ii) Validation of the outcomes submitted from workers and providers (iii) Analyzing and combining the outcomes to produce a solo coherent Content Graph for every video.

Validators mint fresh block-chain on AIVON Network plasma, earn a token for the task and assign rewards to contribute CSPs and is.

Validator might lose a part of the staked tokens if it's not performing the jobs in accordance to an agreement.

Validator decides the upcoming validator through pseudo random algorithm that's separately provable and bias-free.

Software Developers

IVS will be developing at least the following two apps: a. Open Source SE and related API b. Ad matching service and related API.

Developers play a main part in the AIVON Network ecosystem by developing apps that interact with AIVON Network or utilize Content Graph.

Developers earn access to a list of non-confidential videos files processed by AIVON Network, with their corresponding Content Graph.

Developers would be capable to utilize AIVON Network to make new apps which they'd charge using their tokens.

Token Sale and ICO Details

AIVON Block-chain protocol releases ERC 20 tokens or also known as AVO token to incentivize and reward their members or consumers. The said token will also be applied as a type of payments in the entire AIVON system. The said podium has an Initial Coin Offering token supply of 350,000,000 and a hard cap mass of $18,000,000 USD. AIVON accepts currencies in either ETH or USD. The cost of one AVO is equivalent to = $0.16 USD.

Token Details

Token Symbol : AVO

Private Sales Start Date : 1 August 2018

Whitelisting Date : 1 October 2018

Public Sales Date : November 2018 (TBC)

Initial issue size : 400,000,000 (400 million)

Maximum issue size : 1,000,000,000 (1 billion, after 10 years)

Token Price : 6.25 AIVON to 1 USD

(token price in Ether will be fixed 48 hours before start of the

sale)

Hardcap Target : USD18,000,000

Token Distribution

The public will be offered 35% through the token sale, and the team (including founders and early backers of the project) will get 20% with 7.5% going to advisors. 22.5% will be set aside as for community development initiatives, while 15% will be reserved for future use.

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