DeepBrain Chain, a decentralized AI computing platform has released its 33rd progress report. This latest installment shares new details regarding the usage of its AI training net.

A highlight of the report was the introduction of DeepBrain to “esteemed tech companies and educational institutions” over the last couple of months. Presentations were also made by VisionX, an artificial intelligence chain for heavy industries that was recently incubated by the DECO DeepBrain ecosystem.

Talks were given to institutions by Haisong Gu, DeepBrain Chain’s senior director of AI applications for computer vision and robotics. A focus of the meetings was how companies could “implement AI solutions in their current operational practices,” thereby lowering costs whilst leveraging the efficiency of their existing networks.


One notable discussion was held with Jiangsu Advich, a representative agent of TensorFlow in China. Originally developed by researchers from the Google Brain team, TensorFlow maintains an open source library for high performance numerical computation and was developed to support the fields of machine learning, deep learning as well as many other scientific domains.

A possible integration between TensorFlow and DeepBrain Chain’s AI training net and decentralized computing network was proposed during the talks. The impact of such an integration was described by DeepBrain Chain with the following:

“Such implementation would be of great benefit as it would allow [TensorFlow] to cheaply and efficiently train their own AI experts while simultaneously gaining access to a powerful and cost-effective network with which to develop their own AI solutions tailored to the specific needs of the company.”

HongRui Education

In a separate presentation, Dr. Gu held talks with the CEO of HongRui Education, a subsidiary of HongRui Group in China. The company reportedly “expressed interest in working with DeepBrain Chain to provide their students, particularly high-school students, with short-term intern opportunities at our Silicon Valley AI lab, and also to offer their graduate students long-term AI training. This will allow HongRui Education to offer their students expert AI training from world leaders in the field at a nominal fee.”

VisionX also is claimed to have made considerable headway into developing relationships and new business with stakeholders over the last couple of months.

Shenmu State Coal Security Department

Project heads met with state coal security department representatives in Shenmu, a city in the north of Shaanxi province, China. The talks were centred on “a security plan for coal mining that alleviates current pressure points in over 300 remote locations.”

The nature of the potential collaboration was described with the following: “[Coal security department representatives] are looking to utilize VisionX’s advanced technology to innovate current industry practices in the interest of a new streamlined and accurate approach to traditional problems.”


Meanwhile, VisionX was introduced to a company named Hu-Brain through its relationship with DeepBrain Chain for “immediate implementation of the emergent technology developed by VisionX.”

Hu-Brain is a Japanese visual inspection company involved in the production of industrial products and is a customer of DeepBrain Chain, currently utilizing the platform’s AI Training net.

The most recent collaboration will see VisionX and Hu-Brain representatives co-attend the “largest inspection device exposition in Japan from January 16th to 18th, where they will showcase and advertise further use cases for the revolutionary technology.”

Nanjing University of Posts and Telecommunications

Efforts to expand DeepBrain Chain’s collaborations extended beyond the private sector and into the realm of higher education. Dr. Gu met with Mr. Chen, head of AI at the Nanjing University of Posts and Telecommunications.

The two reportedly reached an agreement to work together in the following ways.

  • “DeepBrain Chain will provide tailored AI internship opportunities according the specific and nuanced needs of their department.
  • DeepBrain Chain will provide compute power to the department’s AI research labs and other areas as necessity dictates.
  • DeepBrain Chain will provide AI compute power to their on-going AI application research and development programs.
  • DeepBrain Chain will provide internships at our Silicon Valley lab to AI students from the university.”

It’s claimed that the above collaborations will help DeepBrain Chain establish its “representation among educational institutions as the leading provider of AI-related solutions and training programs,” as well as grow the computational power of its decentralized AI network.

Anhui Sanlien University

Following a strategic collaboration made with Anhui Sanlien University in October this year, Dr.Gu has been reportedly been “developing the exact areas of cooperation and implementation that DeepBrain Chain and VisionX will service as part of the agreement.”

The points below, which outline the agreement, have been taken from the original announcement:

  • “The implementation of AI Training courses not only for students of the university but also those with the society. DeepBrain Chain provides expert AI Training with real-world applicability for a comparatively small fee.
  • DeepBrain Chain will provide compute power at-cost in order to train and develop an AI detection software that will allow drivers to be instantly notified if they begin to drive outside of road safety lines. Furthermore, VisionX will provide automatic ‘on-line’ detection devices for Sanlian Group at more than 8000 driver’s license testing locations, which each locations having over 200 cars in operation.
  • The university’s AI Teaching and Research departments will start renting computing power on the DeepBrain Chain platform for use in their own educational programs.”


The report by DeepBrain Chain also mentioned its efforts in research and development.

The team released version across the network that encompassed many smaller improvements and optimizations such as container kernel technology design, reverse proxy support, AIM BenchMark test support any many other items.

A full list of modifications can be read in the original announcement here under the “Technology” subheading.

DeepBrain Chain Skynet

Usage statistics were also released for the platform’s “Skynet” project that was announced in July 2018. Skynet intends to power its network for AI learning and applications through the petitioning of nodes (computers) that form the backbone of its network.

The network’s number of GPUs, developers, and overall computing power grew appreciably since the previous update.

An excerpt from the report is below:

  • “Number of GPUs: 160
  • The cumulative number of times AI users rent computing power from miners: 330
  • The cumulative number of AI training tasks performed: 1623
  • Project Development Data on Github: 40 developers
  • DeepBrainChain dev branch, cumulative submission of 707 commits.
  • DeepBrainChain dev branch, a total of 40 releases.”

DeepBrain Chain Global Ambassadors Program

Finally, DeepBrain Chain’s Global Ambassador program is on-going. Participants can sign up to become Ambassadors to earn rewards and help grow the ecosystem.

Users can sign up using the link below.