Neuromation

Neuromation

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Distributed Synthetic Data Platform for Deep Learning Applications. Unlocking computing capacity for wide Al adoption.
  • Market
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    Volume 24H
    24H (price)
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  • YoBit
    NTK/ETH 8 months ago
    $ 0.0019
    $ 0.5596
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  • YoBit
    NTK/BTC one year ago
    $ 0.0008
    $ 25.99
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  • YoBit
    NTK/RUR one year ago
    $ 0.0010
    $ 0.0069
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  • YoBit
    NTK/WAVES one year ago
    $ 0.0021
    $ 0.1454
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  • BCEX
    NTK/ETH one year ago
    $ 0.0370
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  • Tidex
    NTK/ETH 2 one year ago
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  • Tidex
    NTK/BTC 2 one year ago
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  • YoBit
    NTK/USD 2 one year ago
    $ 0.0184
    $ 4.90
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  • YoBit
    NTK/DOGE 2 one year ago
    $ 0.0313
    $ 7.91
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  • HitBTC
    NTK/BTC 3 one year ago
    $ 0.0144
    $ 0.0144
    1.13%
    -99.99%
  • HitBTC
    NTK/USD 3 one year ago
    $ 0.0152
    $ 45.60
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  • HitBTC
    NTK/ETH 3 one year ago
    $ 0.0127
    $ 7.37
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  • Idex
    NTK/ETH 3 one year ago
    $ 0.0088
    $ 70.38
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  • Cobinhood
    NTK/BTC 5 one year ago
    $ 0.0124
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  • Cobinhood
    NTK/ETH 5 one year ago
    $ 0.0193
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  • BiteBTC
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  • Mercatox
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  • TopBTC
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Jan 7, 2018
Feb 13, 2018
100% completed
$71 669 400
33% hard cap completed
Hard cap 60 000.00 ETH
past
Ico sale
Nov 28, 2017
Jan 1, 2018
100% completed
Raised funds - no Data
past
Pre-ico
Nov 25, 2017
Nov 27, 2017
100% completed
Raised funds - no Data
past
  • 1 NEUROMATION
    =
    0.001 ETH
Token Details
Ticker
NEUROMATION
Accepted Currencies
ETH
Company Details
Registered Country
Estonia
Additional Details
Platform
Ethereum
Categories
Platform, Cryptocurrency, Business services

About Neuromation

The Neuromation Platform will use distributed computing along with blockchain proof of work tokens to revolutionize AI model development.

The revolution is long overdue: deep learning employs artificial neural networks of extremely large capacitance and, therefore, requires highly accurate labeling. Collecting large datasets of images, text and sound is easy, but describing and annotating data to make it usable has traditionally been challenging and costly. Crowdsourcing was applied to the problem of dataset creation and labeling a few years ago, employing large numbers of humans to correct mistakes and improve accuracy. It proved slow, expensive and introduced human bias. Besides, there were tasks that humans simply could not do well, such as estimating distances between objects, quantifying lighting in a scene, accurately translating text, and so on.

We propose a solution whose accuracy is guaranteed by construction: synthesizing large datasets along with perfectly accurate labels. The benefits of synthetic data are manifold. It is fast to synthesize and render, perfectly accurate, tailored for the task at hand, and can be modified to improve the model and training itself. It is important to note that real data with accurate labels is still required for evaluating models trained on synthetic data, in order to guarantee acceptable performance at inference time. However, the amount of validation data required is orders of magnitude smaller than training data!

Features

The Neuromation Platform provides an exchange and an ecosystem where participants can either contribute or purchase the components of an AI model. The Neuromation Platform will combine technological and business elements to efficiently train large-scale Deep Learning Systems on synthetic data.
Platform user experience is divided into the following categories:
Synthetic Data Set Module
Machine Learning Module
User Module.

Technical Info

Technical details:  Platform backend technology is divided into the following components: Neuromation Node: 1. Node Analysis (Processing price floor - minimum amount in NeuroTokens accepted per computing unit. Node efficiency limit based on bandwidth / processing power /storage). 2. Distributed Data Generation Package 3. Distributed Learning Package 4.Node synchronization middleware Market Module: 1. Enables efficient matching of buying and selling orders for datasets, models, labeling services. 2. Enables liquidity in the system so that prices across the assets are conducive to scaling the system The source code:  The code of the product is not available. Proof of developer:  Public team

Neuromation Roadmap

  • Q4 2016

  • Team building
  • Pre-sale starts

  • Q1 2017

  • Seed round completed. Work started
  • The main sale starts

  • Read More
  • Q2 2017

  • Launch of R&D in Retail Lab test synthetic data hypothesis
  • ICO stops

  • 24 hours after secret cap is reached, or Jan 1st
  • Q3 2017

  • Proof of hypothesis on synthetic data is finished. Retail synthetic data generator proven. Model development complete (95% of accuracy reached.). Marketing and first sales to retail clients. ICO preparation.
  • Q4 2017

  • Neuromation ICO. Neuromation platform v1. Launched with 1,000 GPU capacity deployed. Medical devices Lab started.
  • Q1 2018

  • Active sales and marketing of Neuromation platform. Neuro Tokens are tradable on exchanges. Industrial automation Lab is started.
  • Q2 2018

  • Neuromation platform v2. Launched with 10,000 GPU capacity deployed.
  • Q3 2018

  • Neuro Token will migrate to its own blockchain. Neuromation platform v3. Launched with 100,000 GPU capacity deployed.

Neuromation Team

Verified 33%

Attention. There is a risk that unverified members are not actually members of the team

Maxim Prasolov
CEO
unverified
Fedor Savchenko
СTO
unverified
Sergey Nikolenko
Chief Research Officer
unverified

2 ICO

$90 669 400

Constantine Goltsev
Investor / Chairman
verified
Denis Popov
VP of Engineering
unverified
Esther Katz
VP Communication
verified

Advisors

Verified 67%

Attention. There is a risk that unverified members are not actually members of the team

Andrew Rabinovich
Adviser
verified

9 ICO

$111 607 207

David Orban
Adviser
verified
Yuri Kundin
ICO Compliance Advisor
unverified

Neuromation Interviews

David Orban
What is your opinion about the project?
Idea behind Neuromation is that instead of mining just for the sake of getting a key to get more Bitcoins or other cryptocurrencies, you mine by the virtue of solving an actual AI task, whether it’s training a deep neural network or creating synthetic data for training these neural networks, and at the end of the day you still get your cryptocurrency but the result of your computation is actually something useful that can be applied further down the chain for some practical application.
Esther Katz
What is your opinion about the project?
I joined Neuromation as VP Communications because I was fascinated by the vision of the project to democratize AI and make the technology accessible to small and medium-sized startups, enterprises, scientific projects. Wide industrial adoption of AI nowadays largely depends on the monopoly of major computational power providers, like Amazon. Neuromation will solve this issue, and here we have an example of real sharing economy on blockchain.

Neuromation Last News

$ 0.0017
Crypto Stats
Daily, %:
Weekly, %:
Monthly, %:
0.88%
Market Info
Market Cap:
$ 145.55 K
Volume 24h:
$ 0.0044
Circ. Supply:
85.805 M NTK
Ticker:
NTK
ICO profit
X 0.0014
ICO Price~$1.19

Neuromation Reviews

icoscoring.com
ICO review website

Primary clients for this platform is AI system developers. Real market size for this platform is not as huge. Researchers are already involved in another AI ecosystem. No information about current stage of platform development. Stages of platform development is connected with attracted money. All working examples was made in Russia, despite of the fact, that nominally company is based in Tallinn.

No first revenue from clients. The miner will receive reward in NeuroTokens, but this function is not developed yet. Neuromation Lab is crucially depends on the quality of the models and industrial solution, however, nowadays we could not predict that. Projects goal is not matched with the financial projections of the project. 55% of projected revenue based on unconfirmed assumptions.

At the first glimpse, company has a strong team. However, in fact, it seems, that all members of team work remotely. And also almost top managers are involved in other projects, which mean, that none of them is not fully dived into Neuromation. Further, is exact information about key team members.

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