Bottos

What is Bottos?
Bottos is a decentrilized infrastructure that focuses on artificial
intelligence. It is designed to be a consensus-based, scalable, easy-to-
develop, and synergetic one-stop application platform for data, model,
computing power and storage capabilities through data mining and smart
contracts. Bottos has a bottom-level public blockchain specially designed on
the basis of data characteristics as well as a platform for data circulation
among different participants within a broad-based AI ecosystem.
Bottos can be applied to fields of big data, artificial intelligence, smart
hardware, robots, Internet of Things, VR/AR and so on.
In a word, Bottos is not only an artificial intelligence public blockchain, but
also provides services for data and models circulation. It realizes the value
transferring of artificial intelligence and its derivatives fed by data, eventually
forming a new decentralized AI ecosystem.
The basic public blockchain of Bottos is designed to serve artificial
intelligence and has strong industrial attributes for its performance
advantages in data, computing, storage sharing and more. Its original
technologies mainly include smart token design, lots-drawing DPOS
algorithm, and decentralized storage with AI algorithm, leading competitive
advantages in data privacy protection, big data storage, etc.
The basic service blockchain of Bottos aims to create a decentralized
platform for data circulation, which helps obtain AI training data and attracts
active participation of AI and its derivatives. The ownership of data and
models is assured to encourage users to share and then make transactions
quicker. Smart contract lifecycle management can be beneficial to eliminate
trust cost and improve efficiency of AI and its derivatives.
Bottos adopts DApps as its main application development layer, which
can be classified into three types: AI, AI Derivatives, and blockchain-based
Technologies. DApps based on blockchain Technologies, such as Lightning
Network, Oracle, Sidechain, and Cross-Chain, are mainly used to improve
Bottos’ ecosystem, and will constantly emerge with the iteration of blockchain
technology. As for AI, DApps focus on pure software and feature iterations
and upgrades of models after data feeding. DApps in AI Derivatives refer to
the intelligent hardware, internet of things and robotics that combine software
and hardware, which act as sources of new AI data through hardware. All
DApps make closed-loop demands for data, eventually forming a data
collection pool worldwide. Demands being mapped through blockchain-based
technologies also exist among intelligent modules of DApps that can finally
form a huge module collection pool. In other words, model is a kind of data
and will form a decentralized data collection pool that can be called IPDB. (Note: In general, the data here has a more generalized definition,
and it contains models.)