Reports on Interview with our CAO during the Amsterdam Blockchain Expo

Blockchain magazine The block, under British tech media TechForge Media published its interview with our CAO Dr. Dongyan Wang on How DeepBrain Chain is democratising AI computer power with blockchain.

https://www.blockchaintechnology-news.com/2018/07/04/how-deepbrain-chain-is-democratising-ai-computer-power-with-blockchain/

British crypto blog Crypto News Weekly reported on its interview with Dr. Wang on the AI market in general and DeepBrain Chain in particular:

https://itunes.apple.com/nl/podcast/crypto-news-weekly/id1362003162?l=en&mt=2

PR Log’s report on DeepBrain Chain’s ambition to become a decentralized AI cloud in the blockchain era

The Block’s article on how DeepBrain Chain is democratising AI compute power with blockchain.

https://www.blockchaintechnology-news.com/2018/07/04/how-deepbrain-chain-is-democratising-ai-computer-power-with-blockchain/

Crypto News Weekly’s podcast on interview with our CAO

https://itunes.apple.com/nl/podcast/crypto-news-weekly/id1362003162?l=en&mt=2

3. Talent

This week, we welcomed two new members:

Ma Shijun，Staff Engineer

In the past decade, he worked on the cutting edge technologies like Big Data and AI with Global Fortune 500 enterprises (Huawei, Cisco, NetApp, Midea Group). His experience includes architected applications with integrating NLP, Vision, recommendation and Big Data, he has successfully delivered projects like New Retail and ecommerce and introduce the innovative New Retail concept in AWE. During his tenure in Huawei, he is dedicated to Big Data platform like Apache Spark Core and Sql, with 3 patents in DB Cloning base on ECDF, CBO with sampling.

Wanxin Xu, Senior Engineer

Wanxin Xu, she is expected to get her PhD degree in Electrical Engineering from University of Kentucky in August. She got her bachelor degree from University of Electronic Science and Technology of China, majoring in Communications Engineering. Her graduate research mainly focus on 2D/3D facial image manipulation and human motion capture for visual privacy protection. She had internship at Samsung Research American in US and Rakuten Inc. in Japan before. It’s her great pleasure to joint the team and hopefully she can use her knowledge and skills to contribute.

Hiring

Team members with more than 15 years of experience in R&D, from BAT, Huawei, NetEase, Mobile, Ericsson and other companies have joined us and we have successfully completed the overall architecture design of iteration 1 and run the first real-life NLP AI model training on our Testnet in June.

We are still recruiting blockchain development engineers, blockchain product managers, smart contract engineers, virtual machine development engineers, security engineers (penetration), distributed storage development engineers, operations managers and senior front-end engineers. We welcome external referrals. Successful referrals will be rewarded with an equivalent of RMB 20,000 in token form. All resumes will be processed and replied within 48 hours.

Contact: erin@deepbrainchain.org. Please submit your referee’s resume and your contact information, so that we can give out the bounty one month after the candidate’s on-boarding.

Specific Requirements:

http://u6716916.viewer.maka.im/k/RYFDRGSY

4. Tech Development

2018.07.02–2018.07.08

This week, our dev team focused on: the development of the reinforced features of v0.2.0; start of the third round of testing；AI TestNet training；

Architecture Design：

Finish design of the dynamically adjusting network topology features;

Testing：

v0.2.0 testing: finish design and assessment of the third round of test cases;

Automatic testing: finish design and development of 10 automatic test cases;

AI Training：finish multiple AI training on the Testnet, including: autonomous driving, facial recognition, voice recognition, semantics recognition, space detection, oncology and tumor testing, covering areas from transportation, security, cosmic detection to medicine.

Development：

Finish development of dynamically adjusting network topology features;

Debugging of problems identified in the new network features developed last week;

Code analysis and prototype development of the Virtual Machine;

Data encryption security prototype code analysis;

Code review and optimization of v0.3.0.

5. Future Events

Stuttgart Meetup- Germany (July 12th)

Register：https://www.eventbrite.com/e/deepbrain-chain-germany-meetup-tickets-47358980987

Promo video：https://www.youtube.com/watch?v=QADH1znH43Y

6. Community Platform

To find out more information about DeepBrain Chain:

Video: Youtube

Social Media:Twitter, Facebook

Current status of our communities:

Telegram (English ): 12,676members;

（https://t.me/deepbrainchain）

Telegram (Korean): 1,060members;

（https://t.me/DeepBrainChainKor）

Telegram (Vietnam):1,647 members；（https://t.me/DeepBrainChainVietnam）

Telegram (Indonesia): 1,682 members;（https://t.me/DeepBrainChainIndonesia）

Telegram (Thailand): 2,355members;（https://t.me/DeepBrainChainThai）

Telegram（AI Miners): 2,198 members;（https://t.me/DeepBrainChainAIminers）

Twitter: 44533 members;

（http://twitter.com/DeepBrainChain）

Reddit community: 8,225 members;（http://reddit.com/r/DeepBrainChain/）

Facebook Page: 2,457members;（https://www.facebook.com/OfficialDeepBrainChain/）

Thanks for reading! We are very appreciative of the community’s interest and support as DeepBrain Chain continues to grow rapidly. We hope this report proved concise and informative.

Kind Regards,

The DeepBrain Chain Team

About DeepBrain Chain

DeepBrain Chain is the world’s first AI computing platform driven by blockchain. It uses blockchain technology to help AI companies save up to 70% of computing costs while protecting data privacy in AI training. Its vision is to build a ‘’Decentralized AI Cloud Computing Platform’’ and become ‘’The AWS in AI’’.

It’s committed to becoming an AI public & foundation chain to to provide high-performance computing power and data privacy protection for AI companies and all users with AI needs. AI companies can issue their own tokens on top of DeepBrain Chain and deploy their AI products there. Income of mining nodes in the DeepBrain Chain ecosystem comes in two parts, i.e. system rewards and DBC paid by users for AI computing power.

DeepBrain Chain will invest $100m in the Silicon Valley research center in the next 3 years. After the mainnet launch, the AI team will continue to push research in distributed AI training on DBC AI clusters (16–128GPU)(Q2’19) and across DBC AI network(Q4’19).

Now we are building up our local communities in North America, Europe, Russia, Korea and Southeast Asia with plans to develop communities in India, Japan, Australia and other countries and regions.

http://www.deepbrainchain.org