4% weight

On 14 March 2018: I started with a 1-liner question "Which models of Neural Network are you using?" in their Telegram: http://t.me/skychaingroup



I received two detailed responses from the CEO Gennadiy whom I appreciated:

"@dryeap from your questions I have a feeling that you are not correctly positioning us. Skychain is a project for creating an infrastructure in which AI developers can create and train artificial intelligence. To do this, SkyCain will have available marked-up medical big-data, available as a service for deeplearning. we do not plan to create and train neural networks ourselves.

farther. on the expertise of the team. my first experience is the creation of neural networks for the analysis of MRI of the heart. all the programmers who are on the middle level work in neural networks, they trained several convolutional neuronets for tensorflow / pyton for a few weeks, the work of which is shown in the title video. but it is important to understand - these are test neural networks, trained on small data. we need expertise in this field only in order to create an infrastructure that can be used by thousands of independent programmers of neural networks.

answering the question what libraries and models the system supports. if you look at the prototype's review, its source codes will be able to notice that for Skychain it does not matter. You can program a neural network in any programming language using any open or native libraries. It is important that your module implements a number of functions (training, saving / restoring the trained state, inference). and this module is loaded into Skychain where there is just a call to these methods.

so yes, we are not experts in the field of neural networks and do not plan to become them. but all programmers are able to do highly loaded systems that process large data that work in a distributed environment. and Skychain is not fundamentally different from what we do in the field of electronic archives of documents. Skychain contains a number of key ideas - Datamarket as Service for DeepLearning, the inability to download a trained neural network, work in a distributed master-node system, trained AI as a smart contract. due to the check, Skychain will dramatically improve the efficiency of the AI ??creation process in medicine.

nevertheless one experienced AI expert played his part in the project, this is Sergey Shumsky. He is a key adviser who at the early stage of the project gave me his expertise (he is the creator of several successful companies in the field of AI in Russia), and in communicating with him I formed the final picture of the architecture of the project.

but in the future we proceed from the premise that the best AI experts in the world will be in Skychain to train their neural networks on the medical data available here, and thus Skychain will become the most saturated market for the most highly trained neural networks in medicine.

if very briefly, our system solves a number of inefficiencies that exist in this market.

1. Developers AI will not have to buy data for training, they will be available for free for training, in large quantities. This saves them 60-90% of the budget in comparison with the purchase.

2. AI developers will not have to "sell" their solutions to consumers, they will be sold in the public marketplace Skychain. This saves the remaining interest to them, because the marketing of point solutions (and independent developers have and will have only a few neural networks for several areas) is an expensive and complex task.

3. Consumers will be able to look at each AI for an objective rating (an error, because training takes place in Skychain and the system can automatically calculate the errors of neural networks after training); also the consumer will be able to see on what data (what kind of data is it, who marked them, who checked them, etc.) in how many are trained that or the neural network.

in general all this will lead to the fact that Skychain will have thousands of data providers, there will be hundreds and then thousands of independent neural networks and as a result Skychain will offer the consumer a product for diagnostics that will surpass any competing product. Skychain is an infrastructure that will unite the efforts of thousands of participants to create the best offer in the market.



On 15 March 2018: After reviewing their white paper and two relevant videos, the start of my in-depth due diligence on SkyChain was initiated.



Some comments first before my Q&A arising from a due diligence on SKCN:

C1. Overall, I like your vision.

C2. However, to deliver the product as per the vision as well as to commercialise it requires a very *very* strong technical and business team in order to take SkyChain off the ground.

C3. Would help if there are lesser typo errors, eg. it's "National University Hospital" rather than "National University of Ingapore Hospital" 1m59s ('Skychain - Open medical neural network based on blockchain' Video). Do proof-read all non-Russian materials with native speakers or proof-reading service providers.



My list of questions for the core team:

Q1. You said "...we do not plan to create and train neural networks ourselves.", to understand the basis on why I asked which NN models you are using, refer to your WP Pg 6 "It is a set of trained ANNs. The input neural network classifies all the information received, determining areas for a detailed analysis... Then, the input neural network sends all patient information to specialized ANNs checking for presence/absence of certain diagnoses or problems."

Most others who are less familiar with NN would probably have more misunderstanding if you meant to imply that you are merely hosting NN modules and a more apt name for SkyEngine is probably SkyEnginesHost or SkyEnginesLibrary or SkyEnginesRepository

Q2. Regarding "data marketplace where medical data providers can provide their datasets"... I need to know how/why medical data providers will be providing you their patient medical data since this is highly confidential - perhaps there are some countries where providing such data can be easily done? and less so for other countries?

Q3. Among your core team members & Scientific/Medicine/Technology/Business advisors, would like to know who has specifically contributed to the content of the whitepaper, you may fill this template titled "Skychain Whitepaper Contributors Listing" here for this question: https://goo.gl/RShdb4

Q4. Pls check if the Facebook link to 'Sergey Shumsky' in https://icobench.com/ico/skychain is correct

Q5. I understand now that the NN modules in Skychain are crowd sourced from developers;

Q6a. You have indicated 'Pre ICO – December 2017, The fundraising plan is $ 500,000 - $ 1 000,000.' How much was raised and who are the investors? Are the names reflected in WSS-Consulting or 'Skychain Global OU' company shareholder table?

Q6b. What is OU? Ltd, Pte Ltd, LLC, LLP, … ?

Q7. The whitepaper is English but the segments which aer in Russian language is not helpful, namely "Data storage" and "Creating an artificial neural network" under Skychain Architecture

Q8. Are all the (a) SKCN coins pre-mined after TGE or (b) is mined as you go? If it's the latter, what's the upper limit?

Q9. I would like to know more about Gennady's work relating to the 'detection of pathologies of organ and joints' and 'Automation of hospital medicine and health insurance funds'... from which year to which year, and in which organisation(s).

Q10. How is 'Boris Otonicar' contributing to SkyChain as a 'Blockchain Consultant' Advisor

Q11. What was his roles in Benebit?

Q12. Regarding the video "Skychain vs Doctors Competition (EN)", would like to know who did the coding for the NN modules for 'Breast', "ECG' and 'Skin'... (a) which NN models were used, (b) who were the coders and from which organisation, and (c) would like to inspect parts of the codes (don't need the entire code).

Q13. What is the working/commercial relationship between WSS-Consulting and 'Skychain Global OU'

Q14. Who are the shareholders for WSS-Consulting

Q15. Who are the shareholders for "Skychain Global OU"

Q16. For project of this nature, it is a norm to include relevant citation and references and I'm surprised that none of the Technical and Scientific Advisors managed to convince the team to do that; good to know if any of your technical or scientific advisors suggested the inclusion of citation and references in your whitepaper

Q17. I appreciate that you make available some source codes in https://github.com/Skychainglobal and I found snippets of your code from various other websites and I would like to request for the compiled version of the programs, ie. both object and executable files (as-is) for review as well.



For your reply, pls use this notation, A1 for Q1, A2 for Q2, ..., A17 for Q17, and you may also consider having sub-answers like A16i, A16ii, if you wish; if you are replying to my comments, you may use this notation, R1 for C1, ..., R3 for C3; so that I can tell if you are responding to a comment (C) or a question (Q).



Overall, I like your project and hope to have a chance to hands-on the working version when you are ready.



I may revise my ratings after receiving answers to my above questions.



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For ease of reference & reading, this Q&A/DD can be found in this google doc: https://goo.gl/dGThah



My responses on 18 March 2018:



Thank-you for your detailed responses, it really help a lot and I hope that the Skychain community and other reviewers get to see you good answers as well. Am using this notation for this response, R1 for A1, R2 for A2, etc.



R4. I’ve further contacted Dr. Shumsky and he confirmed on 15 March 2018 that he is working with Skychain. I've asked him an additional question "How well do you know Gen, Boris and the team" but he has not replied me yet.

R8. I understand that SKCH coins are pre-mined now which lead us to another questions in the follow on Q.B2 question.

R10. You said "In the development of the concept and WP Boris did not participate." If he is not a contributing Advisor, you may wish to remove him as your Advisor, because from one legit ICO Reviewer Group that I'm part of, a few of the more experienced reviewers classified him as a red flag, due to his involvement with Benebit.

R17. I found the .dll and .exe in the /Release sub-folder, with thanks.



Follow-on questions (Stage B) for your consideration:

B.Q1. In pg 15 of your whitepaper "Miners creating new blocks in the chain"... since SKCN tokens are pre-mined, we need to understand what's the mining function in the Skychain system is for.



B.Q2. You've missed out Q12... perhaps the 'Skychain vs Doctors Competition' is just a mockup rather than real; I repeat my Q12 again "Regarding the video "Skychain vs Doctors Competition (EN)", would like to know who did the coding for the NN modules for 'Breast', "ECG' and 'Skin'... (a) which NN models were used, (b) who were the coders and from which organisation, and (c) would like to inspect parts of the codes (don't need the entire code)"



B.Q3. Among the various seemingly related patents, I found these two

Pat1) US2016/0148115 Easy Deployment of Machine Learning Models

Pat2) US7085762 Methods, systems and computer program products for web services access of analytical models

You may use Lens.org to locate for the full-text of these patents. I would like to know the similarity and differences between Skychain and these two patents.



B.Q4. The SKCN Token Smart Contract Address seems to be the old version:

https://etherscan.io/address/0x70c621f949b6556c4545707a2d5d73a776b98359

What is the latest Token Smart Contract Address?



I am now revising my orignal score of T2, V4, P2 to T3, V4, P2... note that T3 is the max for Team due to a major red flag in your Advisor team.



PS: In ICOBench, once a reviewer (a) change the score, or (b) modified our Comments section, your reply to our comment is automatically removed (I am not sure why ICOBench design the system this way but I would suggest to ICOBench to retain all replies)

+1 Agree +1

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