[ANN]Hessian Network| AIRDROP | Encrypted & Decentralized Intelligence Platform

[lenjp]

https://hessiannetwork.github.io/images/810.jpeg

Hessian Network - Collaborative Intelligence platform and data economy

Hessian ¹: A Hessian Matrix is a matrix that holds second partial derivatives of a scalar function or field ,used extensively in deep learning an machine learning

Xenon Milestone is complete we have published the first linear model trained on encrypted data
Github Repo :  https://github.com/hessiannetwork/milestone-poc-alpha
With this milestone reached we have decided to start our initial offering to the community :
The project won't need millions to start running,so we bootstrapped it ourselves to be able to commit to it and deliver before deadlines,we decided to rely as well on community donations , the next milestone is Helium and will be achieved on 21 december .

Donations Address (ETH) : 0xF9AD13D763f9d347D4C3FeF85b8DAB718A511537

Fees to add token to exchanges :
Mercatox.com : 0.5 BTC
Coinexchange : 1 BTC
Etherdelta:Free
Tidex:? (Contacting them soon)
IDEX:Free

We will try and cover these expenses and in donations are welcome to jump start the process .

The airdrop will run for 3 rounds
The non air-dropped token will be burnt .
The distribution :
- 6 % for bounties & project expanses
- 5 % for developers
- 80% for investors
- 5% to be held by the oracle smart contract .

Airdrop Form : is on Twitter & Telegram group

Whitepapers :
- 1st Whitepaper : A P2P Model for federated deep learning and distributed gradient updates  Helium Milestone
- 2nd Whitepaper : A Decentralized Application for data science competitions -Jan 2017
- 3rd Whitepaper : Latensor a encrypted deep learning library with dynamic operations on encrypted data . -Feb 2017

 In today's world the amount of data generated by companies,people is about 2,500,000 Terabytes source but only 0.5 % is analyzed that means there's an huge amount of data that goes lost,sold,or left without being touched that 95% of insights companies are loosing everyday .

• Kaggle is a platform that links companies with data scientist , companies submit data and offer a prize to whoever solves the problem they put ,the prize pool is small and most big companies in finance for example don't want to submit it because it's expensive to collect and analyze and offering it to the public is to them offering an edge to others in other industries like healthcare the data itself is sensitive thus they can't profit from the insights a user from China for example can provide .
• Numerai is a hedge fund that offers encrypted data to data scientist and when the hedge fund makes money payouts goes to the top 100 .
• Hessian Network is a new platform that aims to fuse the two and offer an amazing alternative to both .

Why ? : To answer this question we need to discuss the privacy ethics of data sharing ,in some industries (Healthcare,Military,Finance,Tech,Commerce...) data contains sensitive information and only the team that works on it can perform analysis and find some insight that helps solve a problem for example patients data is very sensitive and only a data scientist working at a company X can work on it and the crowd is always better .To solve this problem Hessian Network proposes homomorphic encryption ,an encryption that has a very special property structure preservation that means you can encrypt two numbers perfom any math on them (addition,multiplication ...) and the decrypted result is correct this way one user from anywhere can use a Neural Network or a Machine Learning Algorithm to either provide predictions or classify a sample and help the data provider .
This kind of encryption will permit companies and anyone to share his / it's data in a privacy preserving way and the users can choose to collaborate or compete extract valuable insight and get paid for it .

How  ? : Hessian Tokens are ERC20 tokens they're used to unify first streamline payments and unify the operations under one currency that can be exchanged and withdrawal anytime anywhere at the same time it will be able to offer a larger prize pool thus more payouts to contributors .

And ? : Since this project is an open organization one where anyone can contribute and we welcome you to contribute any way you can or want .

This project seeks to provide a trustless platform that aims to be a decentralized application where data is encrypted,safe users are anonymous and payouts are immediate and secured the blockchain structure provides the primitives to build a truly open competition that aims to help the world & companies & people alike .

More details soon

Meanwhile if you have any questions or want to join the community  :
Follow us on twitter : https://twitter.com/hessiannetwork
Join us on telegram :  https://t.me/hessiannetwork
Visit our temporary website : https://hessiannetwork.github.io

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[MustCoins]

Please fix the airdrop link.

[petushka]

encrypted data! I haven't read the whitepaper yet, but I'm already interested!

[MoneroMooo]

you can reach from this link. hopefully successful and lucrative investment. good luck.

https://docs.google.com/forms/d/e/1FAIpQLSfxWVUHUMV6NF098AJ7WAxLULiFjAqf5eu_FLgQPuGqSBueOw/viewform

[fromcoins]

Hessian Network - Collaborative Intelligence platform and data economy

Hessian ¹: A Hessian Matrix is a matrix that holds second partial derivatives of a scalar function or field ,used extensively in deep learning an machine learning

Xenon Milestone is complete we have published the first linear model trained on encrypted data
Github Repo :  https://github.com/hessiannetwork/milestone-poc-alpha
With this milestone reached we have decided to start our initial offering to the community :
The project won't need millions to start running,so we bootstrapped it ourselves to be able to commit to it and deliver before deadlines,we decided to rely as well on community donations , the next milestone is Helium and will be achieved on 21 december .

Donations Address (ETH) : 0xF9AD13D763f9d347D4C3FeF85b8DAB718A511537

The airdrop will run for 3 rounds
The non air-dropped token will be burnt .
The distribution :
- 6 % for bounties & project expanses
- 5 % for developers
- 80% for investors
- 5% to be held by the oracle smart contract .

Airdrop Form : is on Twitter & Telegram group

Whitepapers :
- 1st Whitepaper : A P2P Model for federated deep learning and distributed gradient updates  Helium Milestone
- 2nd Whitepaper : A Decentralized Application for data science competitions -Jan 2017
- 3rd Whitepaper : Latensor a encrypted deep learning library with dynamic operations on encrypted data . -Feb 2017

 In today's world the amount of data generated by companies,people is about 2,500,000 Terabytes source but only 0.5 % is analyzed that means there's an huge amount of data that goes lost,sold,or left without being touched that 95% of insights companies are loosing everyday .

• Kaggle is a platform that links companies with data scientist , companies submit data and offer a prize to whoever solves the problem they put ,the prize pool is small and most big companies in finance for example don't want to submit it because it's expensive to collect and analyze and offering it to the public is to them offering an edge to others in other industries like healthcare the data itself is sensitive thus they can't profit from the insights a user from China for example can provide .
• Numerai is a hedge fund that offers encrypted data to data scientist and when the hedge fund makes money payouts goes to the top 100 .
• Hessian Network is a new platform that aims to fuse the two and offer an amazing alternative to both .

Why ? : To answer this question we need to discuss the privacy ethics of data sharing ,in some industries (Healthcare,Military,Finance,Tech,Commerce...) data contains sensitive information and only the team that works on it can perform analysis and find some insight that helps solve a problem for example patients data is very sensitive and only a data scientist working at a company X can work on it and the crowd is always better .To solve this problem Hessian Network proposes homomorphic encryption ,an encryption that has a very special property structure preservation that means you can encrypt two numbers perfom any math on them (addition,multiplication ...) and the decrypted result is correct this way one user from anywhere can use a Neural Network or a Machine Learning Algorithm to either provide predictions or classify a sample and help the data provider .
This kind of encryption will permit companies and anyone to share his / it's data in a privacy preserving way and the users can choose to collaborate or compete extract valuable insight and get paid for it .

How  ? : Hessian Tokens are ERC20 tokens they're used to unify first streamline payments and unify the operations under one currency that can be exchanged and withdrawal anytime anywhere at the same time it will be able to offer a larger prize pool thus more payouts to contributors .

And ? : Since this project is an open organization one where anyone can contribute and we welcome you to contribute any way you can or want .

This project seeks to provide a trustless platform that aims to be a decentralized application where data is encrypted,safe users are anonymous and payouts are immediate and secured the blockchain structure provides the primitives to build a truly open competition that aims to help the world & companies & people alike .

More details soon

Meanwhile if you have any questions or want to join the community  :
Follow us on twitter : https://twitter.com/hessiannetwork
Join us on telegram :  https://t.me/hessiannetwork
Visit our temporary website : https://hessiannetwork.github.io

Done for image quality

[lenjp]

Currently we are 2 full time devs we are looking forward to recruit more people in exchange for token shares meanwhile the project is funded from us and we hope we can be operational by early February.
For now our focus is to finish the white paper, submit for a peer review and release a simple model training library and a homomorphic encryption library that is fully compatible.
We think the Multi Party Computation platform will be available by early January.

[fromcoins]

Project looks promising even though it had much of technical terms which I think might be a bit tough to comprehend by the everyday typical person. Also, it will be nice to have the github.com subdomain website address on your Twitter profile. This makes for easy access to the the web page which details everything.

[fromcoins]

Currently we are 2 full time devs we are looking forward to recruit more people in exchange for token shares meanwhile the project is funded from us and we hope we can be operational by early February.
For now our focus is to finish the white paper, submit for a peer review and release a simple model training library and a homomorphic encryption library that is fully compatible.
We think the Multi Party Computation platform will be available by early January.

There good step in the right direction. And meeting schedules hopefully as you stated will go a long way

[sarahgolden]

Great work Dev see u at the top

[Tagmot]

Great project
Please fix the airdrop link good luck

[Pipitnurul]

I am glad to hear this great platform that have roadmap, whitepaper and aims clearly. I will be a part as supporting to this nice project to be sucsess.

[jhenz20]

looking forward, nice project

[mokits17]

Hii

[Crypto quest]

Looks like a great project. Cryptocurrency is quickly becoming mainstream and gaining mass adoption. I love that there is an incentive for people to participate

[stasyk411]

The BOMB project in the crypt world! A clear white paper and close-knit team work will send the project to the flight to the MOON!

[Altria_M41]

Very interesting project. The concept is really great.
I'm looking forward for some updates.

[Iyanuisaiah]

Interesting project, good to be here..... The airdrop link please..

[lenjp]

The following bounties are accepted :
- Translations
- Graphical ANN Design

[bey85]

what's your plan after handing out airdrop tokens?

[lenjp]

Add to exchanged and releasing whitepaper are the current next goals (after airdrop)
-then a release of some of the platform tooling as open source
-Releasing the second whitepaper + blog should be done by early January
-the main points are on the website roadmap