Synapse AI: Decentralized Data and AI Marketplace
Present Scenario
Very often, smartphone users are coerced to grant centralized access to their data residing in smartphones to various applications and services. Popular examples include texting and messenger applications exacting the location of users, e-commerce websites tracking the purchase history of customers etc. Customers have qualms about sharing each and every record of data. However, they are often left with no choice and hence, disquietedly concur to granting centralized access to their data. Until now, this scenario hasn’t been challenged. That being said, the evolution of web 3.0 looks promising enough to change and challenge the status quo, all thanks to its three foundational tenets: democratization, decentralization and distribution.
Synapse AI
Synapse AI leverages the aforementioned foundational tenets and functions as a fully decentralized data and machine learning marketplace. It allows anyone and everyone to contribute data. Contributors of data are tokenized and an ecosystem is created so as to provide the greatest benefits to all the members of ecosystem. Users can sell and share only those records of data according to their volition. All this is done through certain intelligent and secure protocols.
Key Stakeholders
The key stakeholders involved in this decentralized data and machine learning marketplace are:
• Data Contributors
• Data Sellers
• Data Purchasers: Organizations and businesses generally come under the ambit of Data Purchasers
• Agents: There are three categories of agents
Category 1: Smart contractors who address ad-hoc queries pertaining to data
Category 2: Agents who request, collect and contribute data
Category 3: Agents who train, confirm and use machine learning models
Dominance of Data Aggregators
The strength of Facebook lies in its users’ sentiments to post statuses and like articles. Facebook is able to bring new features by analyzing the online behavior of its users. Ads and news feeds are customized and targeted at specific audiences so as to enhance their engagement. Facebook makes a fortune through ads. The entire business model of Google heavily hinges on its ability to filter and analyze the queries of users and click-through rates of Ads. Google’s Android leverages location services to understand the patterns pertaining to the offline behavior of users. Likewise Amazon uses viewing and purchase history of users to generate models which throw a series of recommended products to users. All these established names own the entire pipeline of data right from devices to applications. This does a world of good only for those companies and data contributors aren’t benefitted.
This is where Synapse fits into the picture. It intends to liberate data from monopolistic data aggregators by creating Web 3.0 stack: Data & Intelligence layer. This facilitates core AI economies.
Key Components of AI Economies and Synapse Eco-System
• Data Pools: Data Pools are either single or co-related data records from individual agents or aggregate agents.
• Models: Models are the machine learning system which consume data from data pools. More often than not, models are neural networks.
• Services: Services are the access points which represent models and data. They act as gateways for agents and applications
• Ontologies: Ontologies are classifications that establish relationship between various components of the Synapse AI ecosystem
• Marketplaces: Marketplaces are exchange places that enable participants to find and negotiate objects of value.
• Contracts: Contracts facilitate any sort of transactions between various components
• Events: Events are associated with interfaces and listeners which are capable of effecting actionable responses.
For more information visit:
Website: https://synapse.ai/
Bitcointalk ANN Thread: https://bitcointalk.org/index.php?topic=2198553
Bitcointalk Bounty thread: https://bitcointalk.org/index.php?topic=2198555
Written by : Pooja Jur