3 Elements That Fuel The Development of AI: Algorithm, Data and Computing Power.
Usable results from AI come from processing massive amounts of data with algorithms. To achieve quick reaction time and materialization of actual functions in AI, computing power and processing cores are required. Currently, high hardware cost are limiting AI enterprises, especially start-ups. The AI industry desperately needs a solution to allow AI enterprises to push forward tech revolution with less cost and higher efficiency.
DeepBrain Chain is the world’s first AI computing platform powered by the blockchain, offering robust and uninterrupted computing power to AI enterprises by connecting tens of thousands of computers across the globe to build an AI network.
As of the 3rd of June, the world’s leading AI blockchain DeepBrain Chain (DBC) announces: DBC’s R&D team has for the first time successfully run three types of real world AI training models on their AI testnet.
DeepBrain Chain’s AI Testnet Successfully Runs A Real World AI Training Model
Case 1. DeepBrain Chain’s AI Testnet successfully ran the image recognition MNIST handwritten number images standard dataset categorization model. The MNIST dataset comes from The United States’ National Institute of Standards and Technology (NIST). The training set is compiled of 250 different handwritten numbers, of which 50% are from high school students, and another 50% from the Census Bureau’s staff.
Case 2. DeepBrain Chain’s AI Testnet successfully ran the Chinese text categorization model in NLP. It conducted multi-categorization mission using the Convolutional Neural Network (CNN) as training model.
Case 3. DeepBrain Chain’s AI Testnet successfully ran already trained doc2vector model for document vectorization. Through inputting text document, the model exports a document character vector matrix, to accomplish the testing on using a trained model as target mission.
DeepBrain Chain’s AI Testnet Goes Live At The End of June
According to several unofficial sources, DeepBrain Chain’s AI Testnet is planned to go live by the end of June. Although the difficulty of the project is intense, from the published tech development progress and the number of times the R&D team updates their codes on Github, their overall progress is positive. With the latest news on the Testnet’s testing result, it is likely that their AI Testnet will launch on time.
Currently, they have finished the first round testing, solved the issues in the test result; further completed P2P network features, entered the second round of testing and testing on the additional P2P network features; they have also entered iteration 2, the structural design, with discussions on blockchain and AI commercial environment’s needs and concept design.
DeepBrain Chain’s Recent Big Events
Wallet Ranking For AI Mining Machines’ Buying Rights Starts — 8th of June
AI Training Network Testnet Goes Live — End of June
Consensus Nodes Election — Mid July
Second Round of AI Mining Machines’s Wallet Ranking Starts — Early July
MainNet Goes Live — End of October
In addition, DeepBrain Chain will endorse and help the development of one to two outstanding AI enterprises each month, building DeepBrain Chain’s global ecosystem.
What Is DeepBrain Chain?
DeepBrain Chain is the world’s first AI computing platform driven by the blockchain. It uses blockchain technology to help AI companies save up to 70% of computing costs while protecting data privacy in AI training. It’s vision is to build a ‘’Decentralized AI Cloud Computing Platform’’ and become ‘’The AWS in AI’’.
DBC is committed to becoming an AI blockchain 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 nodes in the DeepBrain Chain ecosystem comes in two parts, i.e. system rewards and DBC paid by users for AI computing power.
(Sponsored Post; for more information please visit our official website at www.deepbrainchain.org)