Bottos, based on blockchain technology, is the worlds largest data aggregation pool, addressing the challenge of acquiring high-quality data in the AI industry. It pioneers smart data equity contracts, enabling wealth sharing of personal data through a mining mechanism, and constructs an Ethereum-like ecosystem for AI. Bottos has two primary goals: to establish the most efficient data exchange center in the world and to build an "Ethereum" ecosystem for the AI sector. The former assists AI enthusiasts and companies in creating better models due to the scale of new data and updated models with refreshed data. The latter enables any geek team or company to effortlessly develop AI algorithms/models, seek quality data funding, train algorithms/models, while providing new economic incentives to data providers and enhancing the value of crowd wisdom and aggregated data.

I. Project Background

Artificial intelligence has transitioned from its first phase, driven primarily by algorithm and computing power, to its second phase, characterized by large-scale structured, reliable data driving advancements. In the third phase, scene-driven forces become predominant. We are currently transitioning from the second to the third phase, with one aspect being the upgrading of deep learning models (such as transfer learning and multi-task learning models), and another being that a few thousand to ten thousand finely labeled training data can achieve the same effect as millions of rough AI model training data. A vast amount of data of varying quality might improve the quality of AI models, but only fresh, high-quality data (not necessarily in huge volumes) can motivate and evolve models.

Bottos accelerates the transfer and upgrading of data wealth, hastening data circulation and, consequently, the evolution of artificial intelligence. It creates a decentralized platform for high-quality data circulation, addressing the difficulty in acquiring premium AI data, and helps AI models rapidly evolve through lifecycle management of smart contracts.

II. Application Scenarios

1. Artificial Intelligence
AI projects can easily and quickly create smart contracts through Bottos innovative smart data equity contract, and clean collected data via model interfaces. For data contributors, data collection and token distribution are realized through data mining.

2. Robotics
Advanced robotics at this stage mainly involves limited intelligence applied to specific scenarios, combining software and hardware, such as vacuum cleaning robots and wearable robots, requiring essentially AI plus physical shells.

3. Internet of Things (IoT)
Similar to robotics, IoT belongs to the upstream of AI, differing from human-robot interaction in that IoT involves object-to-object interaction. After registering smart hardware on Bottos, it can directly engage in native data circulation transactions through the decentralized trading mechanism of Bottos.

4. Others
Bottos user registration for digital asset IPs can be used for personal data (images, professional knowledge, healthcare data, etc.), scientific research experimental data, professional institutional data, etc.; smart data equity contracts can also be applied to VR/AR fields, sharing economy sectors, etc.; decentralized exchanges can be utilized for bulk data transactions, etc.

III. Data Sources

Three ways of sourcing data:

The first is internal generation within the platform. For instance, data seekers (AI geek teams, startups, data companies, internet companies, etc.) post data recruitment information on the data circulation platform (akin to a decentralized Zhubajie platform), and data suppliers (platform users, ecosystem product users, etc.) submit data according to the recruitment details. Unlike traditional centralized recruitment methods, the BOTTOS system can cleanse data, preventing fraud and tampering.

The second is external access to the platform. Business systems like ERP, CRM, OS, SCM, etc., can register on the BOTTOS system, set access permissions and prices, and provide searchable information. Data seekers can search for keywords of the data they need, find the required information, and apply for access. After mutual confirmation, transactions can proceed.

The third comes from the ecosystem applications themselves. For ecosystem applications integrated into the BOTTOS system, the applications may generate valuable data, such as motion capture data from wearable robots. For valuable data generated by users themselves, the development team of the ecosystem application can repurchase this portion on a paid basis.

Related Links:
https://baijiahao.baidu.com/s?id=1616372012608299789&wfr=spider&for=pc
https://www.bottos.org/?lang=cn