Valued Members of DeepBrain Chain,

Welcome to the latest weekly update! As always, the Team appreciates the stalwart interest and support towards DeepBrain Chain’s development. Highlights of this week include: DBC A.I TrainingNet, A.I workshop in Beijing and major technical progress by our Shanghai team and Silicon Valley team. We will continue to inform the community on our latest and most important progress, stay tuned! Your continuous support means much to us!

1. Marketing

On July 21st, we cohosted the “Winning in The Era of Computing Power” workshop with CSDN, the most popular developers’ community in China. The workshop, targeting A.I. executives, researchers, developers and other people involved or interested in A.I, attracted audience from the Chinese Academy of Sciences, PerfXLab and other famous A.I. companies and institutes. During the panel session, guests coming from different segments in A.I discussed the problems facing the industry and in particular, the computing power bottleneck and how blockchain and other new technologies can solve some of today’s problems. It was a great chance to present our ideas and solutions to an audience well-versed in A.I. The enthusiasm with which the audience received our message shows that the problems we have proposed are not empty threats, but real problems facing every A.I professional day in and day out. What’s more encouraging is how they applauded our solutions, i.e. “decentralized A.I computing platform” or “the AWS in A.I”.

2. Media Attention

DBC AI Training Net

The DBC AI Training Net, a major milestone in our development roadmap, marking the realization of what we have envisioned in our WhitePaper where computing power providers can offer extra or idle computing resources in exchange for DBC rewards, while on the other hand, AI users can get cheap computing power on our platform, of course, by paying DBC, will be officially live on August 8th. We shared this exciting news with our global community and announced, in addition, that out of the 250m DBC that’s scheduled to be unlocked this year to the DeepBrain Chain Foundation, 150m will be set aside and provided to A.I. companies, A.I. departments in universities and research institutes or other A.I. users exclusively for the purchase of computing power on our DBC AI Training Net.

Before we open the AI Training Net to the general public, we invite A.I. companies to try out our platform free. There are only limited spots available. So if your company or some A.I. company you know is interested in using free yet equally powerful (compared with AWS or Ali Cloud) computing packages, you can apply here :http://cn.mikecrm.com/Hnj7flKor send an e-mail to service@deepbrainchain.org.

Media Reports

On July 12th, we held our first joint Meetup with famous German venture capital Robert Bosch Venture Capital (RBVC). If you have missed the event and the livestreaming, you still have a chance to watch the recap video here：https://www.youtube.com/watch?v=ylnQ0_xcpKU

Our “Skynet Project” keeps getting media attention. One of the latest media reports, courtesy of 24–7 Press Release, reads as follows: https://www.24-7pressrelease.com/press-release/454870/deepbrain-chain-launches-skynet-project-recruiting-ai-computing-power-from-the-globe

If you want to know more about the “Skynet Project” and how to become a DBC node, click: https://www.prnewswire.com/news-releases/hot-on-the-heels-of-their-skynet-project-deepbrain-chains-ai-training-net-to-go-live-aug-8th-300683521.html?tc=eml_cleartime

PR Log article is an apt description of our “Skynet”: https://www.prlog.org/12719336-deepbrain-chain-announces-ai-testnet-to-commence-in-august.html

Hiring

This week, we have a new HPC engineer onboard the product management team. Welcome Balpreet!

Balpreet Singh HPC engineer

Balpreet holds a Master’s degree in Computer Engineering from the University of Illinois at Chicago, and was an HPC analyst at ACER Labs (Advanced Network Education and Research Infrastructure). During his time at the research center, he focused on HPC system management, computer security and customer development. He also had experience with Philips Lighting and Cadence. He will support our 128 GPU cluster product line anddata center deployment.

We are still hiring! Join us if you want to do something cool, fun and revolutionary!

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.

4. Tech Development

Starting from this week, we will also inform the community on how things are with our Silicon Valley team, in addition to the Shanghai team’s progress.

SILICON VALLET TEAM

1. Built the first overseas DBC AIM-8 GPUs and successfully joined the DBC AI Training Net;

2.Conducted testing on the DBC AI Training Net from overseas (in Silicon Valley); Completed testing of v0.2.0 from the perspectives of computing nodes and A.I users; tested 3 A.I models on the AI Training Net;

3.Started development of DBC security technology and built a full ETH node to get Ethereum data；developed a parser and parsed 35,000 ETH blocks and analyzed nearly 10m Ethereum block transactions to identify normal patterns for us to do automatic detection of ETH anomalies.

4. Filed two U.S. patents on applying blockchain to A.I applications in smart manufacturing:

a. SYSTEMS AND METHODS FOR ARTIFICIAL-INTELLIGENCE-BASED AUTOMATED SURFACE INSPECTION：№62/697,295

b. SYSTEMS AND METHODS FOR ARTIFICIAL-INTELLIGENCE-BASED AUTOMATED OBJECT IDENTIFICATION AND MANIPULATION：№62/696,767

SHANGHAI TEAM

Focus of our dev team this week included: first round of testing of v0.3; preparing for the launch of our AI TrainingNet; design v0.4;

Architecture:

Design of the multi-chain and sharding architecture;

Design of the data encrytion scheme;

Design of the billing system for v0.3;

Evaluation of the billing system UI design;

Evaluation of the billing system database design;

Analysis of the DGP scheme;

Testing：

Complete design of v0.3’s test cases and evaluation of the design;

Simulatenously, start the first round of testing;

Development:

v0.3: start the first round of testing and debug of problems identified in testing;

v0.3: design of the billing system, interface definition and start development;

Analysis of the VM code;

Update the AI TrainingNet installation guide;

Output the AI TrainingNet security response manual and evaluation next week;

Output the AI TraningNet emergency response manual and group evaluation;

Build the automated testing platform;

5. Future Events

“This Is Blockchain” Tech Meetup-Seoul, Korea (July 27th)

Thanks to the introduction by our Korean partner Hillstone, we were invited to attend the “This Is Blockchain” tech Meetup that is scheduled to take place on July 27th in Seoul, Korea where we will introduce our “Skynet Project” to the A.I companies and people in A.I. They are welcome to join either as nodes or users.

A highlight of the event will be when our CEO and VP of Technology, Bruce share DeepBrain Chain’s core technology and possible applications in the A.I industry to an experienced audience, who are CEOs, CTOs or A.I projects’ leaders at Kakao, NHN, ahnlab, infobank, KT and hancom, among other famous Korean companies.

Livestreaming by our CEO on the A.I TrainingNet (July 24th）

In the leadup to the launch of the DBC AI TrainingNet, our CEO invited some KOLs, investors and A.I executives to the headquarters of DeepBrain Chain Shanghai to sit down and talk about the AI TrainingNet and A.I in general. This will be the most comprehensive and detailed description of what the DBC A.I TrainingNet is and why it is one of the most important technical milestones on our development roadmap.

Feng will also answer some of the questions we have collected from the community.

The livestreaming will be in Chinese. But no worries, we will publish a recap video with English subtitles so that you won’t miss anything.

To watch live, click: http://www.yizhibo.com/member/personel/user_info?memberid=343823881&jumpbrowser=1&nest_url=

6. Community Platform

To find out more information about DeepBrain Chain:

Video: Youtube

Social Media:Twitter, Facebook

Current status of our communities:

Telegram (English ): 12,544;（https://t.me/deepbrainchain）

Telegram (Korean): 1,210;（https://t.me/DeepBrainChainKor）

Telegram (Vietnam): 2,179（https://t.me/DeepBrainChainVietnam）

Telegram (Indonesia): 1,616;（https://t.me/DeepBrainChainIndonesia）

Telegram (Thailand): 2,352;（https://t.me/DeepBrainChainThai）

Telegram（AI Miners): 2,103;（https://t.me/DeepBrainChainAIminers）

Twitter: 44,225members;（http://twitter.com/DeepBrainChain）

Reddit community: 8,235;（http://reddit.com/r/DeepBrainChain/）

Facebook: 2,551;（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,

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