DeepBrain Chain, the Cryptocurrency for Artificial Intelligence
DeepBrain Chain provides a “decentralized, low cost, and private AI (artificial intelligence) computing platform.” Similar to golem, they use computer resources from people all over the world and pool them together to provide computational resources. Their goal is to provide AI companies with cheaper computational resources as they consistently grow more expensive. Supposedly, 10%-30% of an AIs companies’ budget is spent on hardware for computing power. DeepBrain Chain can reduce that cost by 70%.
From 2012 to 2016, there was an increase of 5154 AI startups worldwide with a total net worth of ~$20 billion and with a net investment of ~$100 billion. It’s a fast growing field that’s generating excitement worldwide and for good reason. AI has the potential to revolutionize our world but is being held back because of the immense costs of the purchase and maintenance of computer hardware.
Miners get paid in DeepBrain Coin (DBC) for the work they provide on the network that goes toward AI computational needs. They also get payed in GAS since DeepBrain Chain is on the NEO platform. GAS is the fee AI companies pay in order to use DBC, it’s estimated that miners will get paid in 70% DBC and 30% GAS.
But DBCs ultimate goal is more than just decentralized supple of computing power. They also intend to have an AI data trading platform, AI algorithm trading platform, AI model trading platform, AI container trading platform, and AI application trading platform but there isn’t much information yet out about those.
Total Circulation: 10 billion DBC
Circulating Supply: 1,500,000,000 DBC
ICO Price: $0.015 (December 15, 2017)
Price: $0.0926
Market Cap: $138,900,000
Team:
- CEO — Feng He
- CTO — Shu Chang
- CMO — Chuanfeng Lee
- Business VP — Tony Lee
- Internal Affairs VP — Jenny Wu
- Hardware Director — Louie Lu
- Artificial Intelligence Prinicpal Investigator — Chenyu Lu
- Block chain Senior Engineer — Lingbin Wang
Sounds like an exciting project that has already received quite a bit of hype. The whitepaper can be found here. Let me know what you think below!