DeepBrain Chain Price (DBC)

Released the Xiaozhi butler robot, equipped with Semantic Cloud Brain 2.0

Released Xiaozhi Butler Robot, equipped with Semantic Cloud Brain 2.0

Xiaozhi butler robot and HTC Vive virtual reality helmet together won the CHINABANG award 2016 annual technology innovation award

Newly upgraded semantic cloud, released DeepBrian brain platform, new upgrade

Started the research and project establishment of the cloud brain artificial intelligence operating system blockchain; established a blockchain laboratory, based on the blockchain application architecture research and development

Started the research and project establishment of the cloud brain artificial intelligence operating system blockchain; established a blockchain laboratory, based on the blockchain application architecture research and development

Started the research and project establishment of the cloud brain artificial intelligence operating system blockchain; established a blockchain laboratory, based on the blockchain application architecture research and development

Received angel investment totaling RMB 32 million from Jinshajiang Venture Capital, Gobi Investment and Qian Shi Investment

1. The HTML5 version of the DeepBrain brain platform skill store is released, and consumers can freely add skills to AI hardware; 2. The 0.6 version of the DeepBrain Token Sale White Paper is released.

Won the Harbin Institute of Technology AI Evaluation SMP2017 Chinese Human-Machine Dialogue Evaluation first place in the corporate world; more than 20 domestic top artificial intelligence teams participated; DeepBrain Chain white paper version 1.0 released.

Won the first place in the enterprise world in the SMP2017 Chinese human-machine dialogue evaluation of the Harbin Institute of Technology AI evaluation; more than 20 domestic top artificial intelligence teams participated in the competition; the DeepBrain Chain white paper version 1.0 was released.

1. The R&D team relocated to the new office in Hongqiao Paradise Street, Hongqiao Business District, Shanghai; 2. Invited to participate in the China AI 30-person closed-door forum held in Beijing and the internal seminar on interpretation of the State Council's "New Generation Artificial Intelligence Development Plan Notice"; 3. Invited to attend the Digital Asset Summit.

1. In October, he was invited to participate in the "First Global Financial Technology and Blockchain China Summit 2017"; 2. Based on the NEO contract, the first phase of DeepBrain Chain research and development was completed, and tokens were issued; 3. Support deposit and withdrawal, DBC assets in The tripartite exchange is launched; 4. Project quarterly key information disclosure; 5. DeepBrain Chain promotion and manufacturer access.

Complete the development of the underlying framework and core components, complete the development of the DBC AI test network, and build an internal test environment; support internal AI test users to submit AI training requirements to the DBC AI test network, and complete the training tasks through the DBC AI test network; DeepBrain Chain official website community Task crowdsourcing system development; closes first round of global meetups (Dublin, Hamburg, Amsterdam, San Francisco).

Completed the development of AI user management, group management, role management, and authority management; completed the integration and development of the DBC AI test network and blockchain system; completed the construction and testing of the DBC internal network environment; June 30th Skynet Testnet launched; establishment of Silicon Valley R&D center.

Further improve and test the blockchain network, start network internal testing for key users; support the integration and deployment of multiple deep learning engines; support model algorithm release and selection of published model algorithms, and release training/testing tasks after packaging data; support Monitoring and statistical analysis of DBC network; support AI users to perform AI computing on DBC network; support DBC network security requirements; Skynet officially launched on August 8, and DBC can be used to purchase GPU computing power.

Further improve and test the blockchain network, start the network public beta; further support the integration and deployment of multiple deep learning engines; support AI users' scoring of task execution; support API opening to third-party users; further improve DBC network security.

Further improve and test the blockchain network, modify it according to user feedback and community needs; support AI data transaction and evaluation; support AI data encryption and privacy protection.

Complete the GPU isolation function; design and develop a new dbc message encryption function, and reconstruct the dbc message signature function; use the ECDH algorithm to generate a one-time share secret, and then use the share secret to perform CBC-AES encrypted transmission of log messages; integrate dbc message encryption and dbc message signature. Design, develop and complete the offline certification of training tasks to solve the problem that the mining machine will be used for free when the auth WEB fails; design and optimize the dbc matrix protocol, and add the enable_fast_forward option.

Support transparent forwarding of optional parameters, the current dbc intermediate node will discard fields that it cannot recognize when forwarding messages; support transparent forwarding of unknown types of messages; refactor dbc source code, prepare open source documents; supplement the internal design of restful API documentation.

Provides a standard template for creating GPU Server, corresponding to the following scenarios: (a) GPU Server uses the public network IP that comes with the Computing Node; (b) GPU Server uses ngrok proxy; optimizes the creation of GPU Server: The creation of GPU Server is consumed by the following means The time is reduced from several minutes to tens of seconds: (a) Install the startup code of the standard template mentioned in 2.2 to the computing node and copy it to each GPU Server; (b) Use the standard template to skip the IPFS installation and start and code download; developed and completed the memory management, CPU management, and hard disk management functions of the container; completed the GPU adding and unloading functions of the container.

The functions of GPU container and CPU container are officially launched; the automatic verification function of adding machines is launched. After miners add machines, the system will automatically verify the availability of the machines. After the verification, they can automatically go online, from the DeepBrain Chain payment network to the AI ​​computing power network to the cloud. The whole process of the platform is fully automatic verification without any manual intervention; the container image that supports TensorFlow2.0 is launched, and users can use it directly without installing TensorFlow2.0 by themselves; the private network disk function is officially launched, which is convenient for most novice users to upload files Go to the GPU server; the mirror image that supports drug molecular dynamics simulation is launched, which is convenient for the majority of drug research and development workers to use GPU computing power.

Added tensorboard support, which is convenient for AI users to visualize during training; added SSH verification mechanism for miners online; cloud platform servers have been reinforced to prevent data loss; GPU machine classification mechanism has been launched to classify machines according to memory space and hard disk space Classification; improved the display of machine rental notification information, which is convenient for miners to view machine income; added a payment verification mechanism to prevent payment failures caused by network problems; after the development is completed, the mirror is automatically obtained, and a new version of the mirror is created. Limit the absolute value of the number of CPU cores in containers to prevent malicious mining from wasting their own resources; improve the machine online and offline mechanism; add a hard disk full restart limit and a notification mechanism for insufficient hard disk space; improve the switching mechanism between GPU containers and CPU containers, no Depending on the data size in the container, the user experience is greatly improved. The original 100g data required 1 hour to start the container, and the new version only takes 3 minutes to complete; the distributed computing power network layer added a script startup mechanism; made a new version of the image, unified the python execution environment, unified jupyter and private network disk File Directory.

Added automatic recovery mechanism in case of failure of switching between GPU container and CPU container; added automatic recovery mechanism for disconnection of jupyter and private network disk ngrok; added automatic recovery mechanism for abnormal termination of ssh, jupyter, and private network disk process; development and production Brand new images of tersorflow2.1, tersorflow2.0, tensorflow1.14, pytorch1.2, pytorch1.4, pytorch1.5, mxnet1.5, mxnet1.6; the deep learning image has been newly upgraded, and a large number of Garbage content, the mirror is more lightweight; added mxnet1.5, mxnet1.6, tensorflow2.1, pytorch1.5, the latest molecular dynamics environment support; each mirror adds the corresponding version of the ipykernel kernel, which is convenient for jupyter to use; automatic Activate the virtual environment of the corresponding version of the image, which is more convenient to use; unify the jupyter of the virtual environment and the python version under terminal access; the Ubuntu version of the image is upgraded to version 18.04; the image is pre-installed with the compiled version of opencv, which greatly improves the experience of using opencv; Added the docker automatic detection and restart function; added detailed server usage documents and help documents; optimized the response mechanism of the AI ​​computing network; upgraded the deep learning image and DBC network, and the image is pre-installed with the opencv compiled version, which greatly improves the Improve the use experience of opencv; add the default download source of pip as Tsinghua source; optimize the response mechanism of AI computing network; add cuda9 support by default; add filecoin snark computing image, support API interface access to c1 and filecoin seal Computing support for c2; added support for Filecoin snark GPU computing.

Added discount functions for monthly, seasonal, and annual subscriptions; added support for full rental functions; added an AI reasoning area, and rented machines in this area can use additional open ports; the website interface layout has been redesigned, and the classification is clearer; With the DBC super node rental function, if you want to participate in the DBC super node, you don’t need to buy the machine yourself, you only need to pledge a certain amount of DBC to rent the machine in the DBC network, and participate in the node block generation; the pledge function is added, and you want to enter the high stability In the AI ​​training area, the machine needs to run stably for at least 144 hours, and pledge DBC; add the function of putting on and off the machine; optimize the GPU acceleration algorithm; optimize the cloud platform wallet and add the gas function; research privacy computing and DBC network Combined; optimized the node dynamic expansion function of the DBC network; upgraded the deep learning image that supports deepshare courses and paper; in order to cope with the continuous increase of machines in the DBC network, further optimized the dynamic expansion function of the DBC node; launched the AIM machine, and now all machines have All are online and can be delivered to AIM buyers at any time; further optimize the message forwarding function of DBC network nodes; according to the needs of cloud game and rendering users, develop a scheduling engine based on GPU virtual machine; modify the web wallet based on substrate; support is almost online 30 GPU cloud platforms based on DeepBrain Chain.

DBC mainnet public beta phase is started; development of computing node online reward contracts; development of computing node rental and destruction contracts.

DBC mainnet public beta phase 2 starts; computing node online reward contract testing phase 1; DBC mainnet is officially launched, and token exchange DBC is launched; computing node online reward contract is officially launched.

The computing node rental and destruction contract was officially launched, and DBC began to enter the era of deflation.

Upgrade and improve smart contracts; support AI training and reasoning, cloud games, graphics rendering, ETH2.0 and other multi-scenario advanced customization needs of customers.