Bottos AI Blockchain Explainer | Bottos focuses on expanding the magnitude and security of data storage — Written by Planet Daily
This article was translated from Planet Daily… https://www.odaily.com/post/5133290
Many people have heard about the story of Blockchain + artificial intelligence.
Artificial intelligence has three core components: data, algorithms, and computing power. An AI algorithm model requires sufficient computational power to support a large amount of data training in order to be upgraded to a practical and excellent model. Considered as an Internet of value, Blockchain provides the infrastructure for all the intelligence required for artificial intelligence, including data, algorithms, models, data packages, and more.
A major limiting factor in the current development of artificial intelligence is that it is difficult to get through and effectively cooperate in all aspects of the industry, thus raising the threshold for using artificial intelligence. The specific manifestation of this problem is that the data market that discloses and clarifies the ownership of data and protects the privacy of individuals has not yet formed; Higher technical and financial barriers make it difficult for SMEs and individual developers to develop personalized AI products; The split between individual artificial intelligence systems, such as visual recognition and speech recognition systems, results in users not being able to obtain a complete intelligent experience and the like. These all prevent people from entering the real era of intelligence.
To break these barriers, the blockchain value exchange mechanism may be one of the viable options. At present, people have a “+ blockchain” exploration in all aspects of artificial intelligence.
- At the data level, there are distributed data producers like Snips, distributed data labelers like Gems and Effect, data exchange markets like Ocean Protocol and Computable Labs;
- The exchange of models involves technologies such as Secure Computing. Such projects have also been very hot this year. Related projects include Goal, Numerai, Algorithmia, OpenMind, etc.
- Projects that focus on providing computing resources that meet the needs of artificial intelligence include DeepBrain Chain, Golem, etc.
- In the practical application of artificial intelligence, there are Fetch that provides collaboration between artificial intelligence systems, and the SingularityNET system that runs the world’s first robotic citizen, “Sofia”. An example of a personal intelligence system would be those able to call each other, a system that would let an automatic machine buy a ticket for you; If the flight is delayed, another automatic machine will predict the possibility of a transfer failure. If the possibility is high, a new itinerary plan will be proposed, and then the first automatic machine will change the ticket accordingly.
At present, most of these projects have not been officially released and used, so it is only necessary to know which programs are more feasible and which team is more reliable.
Recently, the Odaily Planet Daily also came into contact with a vertical public chain in the field of artificial intelligence — Bottos. Bottos wants to serve blockchain infrastructure such as big data, AI models, storage and computing power.
Bottos has been in operation since November 2016. In January of this year, Bottos acquired equity investment in capital such as Draper Dragon. Bottos mainnet has gone online at the end of May and it is expected to start commercial trial operations in December, which is more advanced from the project development progress.
The structure of the Bottos chain is divided into three layers: the bottom layer, the service layer, and the application layer, as shown in the following figure:
According to Zhang Shaokui, chief architect of Bottos, the homogenization of artificial intelligence + blockchain projects is more serious. Compared with similar projects, Bottos’ innovations count features such as a humanized account system, one-click node deployment, on-demand access to service components, and flexible and secure mass storage.
Below we focus on two points:
- Account system. In public chain projects such as Bitcoin and Ethereum, the user’s account is similar to 0xF5eb50e6aeCc0105FD6d5A87a6BbfC5319BDAE65, which is not convenient for users to remember and use.
In order to solve this problem, Bottos adopts an account system that is consistent with traditional Internet applications. Users can use meaningful characters and numbers, and use account names such as Leon, Amelie 007, morningeverybody, etc., which greatly reduces the user’s use and memory costs.
- Data storage. Data is the driving force behind the development of artificial intelligence, and the reliability, privacy and security of data storage are the core elements. To achieve this goal, Bottos has technically designed these features:
- Set two type of nodes, the block node and the storage node. The storage node needs to pledge a certain number of tokens before providing the service to constrain its behavior and be responsible for the stored data.
- Provides an optional service level for Multiple Backups. For data with higher security requirements, users can choose to back up the data multiple times (of course, additional fees are required);
- Adopt intelligent fragmentation technology to divide the user’s complete data into multiple pieces, and key piecemeal information is wound up. Only the owner can open and re-group information and recover data. In this way, even if someone maliciously obtains a single piece of data, it cannot be opened, ensuring that the user data is safe even if it leaks.
- Secure storage. After the user data is sliced, it is stored in a different storage node. Since these nodes are distributed in different locations around the world, it avoids the accidental loss of all data when all the storage is in one place, and achieves the effect of remote disaster recovery.
In addition, Bottos currently uses the DPoS+BFT (Byzantine Fault Tolerant Algorithm) hybrid consensus algorithm to tolerate node failures and a certain number of malicious nodes in 20 production nodes; Once there is a problem with the node, the algorithm automatically selects “substitute players” from 49 candidate nodes, which is both decentralized and efficient. In the test network of Bottos, the initial test system has a processing capacity of 4000+ TPS.
In terms of ecosystem construction, Bottos Wali Community app is already online. The Wali community has the attributes of image mining and content socialization. At present, there are 320,000 registered users and 50,000 daily active users.
At the same time, DApp Datanno, a data market based on the Bottos public chain, has been developed and tested.
On the team side, Bottos project founder Wang Tingting is the former vice president of a blockchain head project in China, and the former vice president of artificial intelligence robot exoskeleton R&D manufacturer Scream Technology; Co-founder and CEO Song Xin, MBA from Georgetown University, USA, was the President of Droege Group China, one of Germany’s largest family investment groups, helping dozens of European and Chinese traditional companies to transform their Internet and digitalize earlier by applying big data and artificial intelligence technologies. Bottos co-founder and CTO Wang Chao, former head of R&D team of Wanxiang, Huawei, and Zhongxing, has worked in distributed systems, cloud computing design, and research for more than a decade.
If you have any further questions please reach out to us on Telegram: https://t.me/bottosworld
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