VITE VITE to SingularityNET AGI Exchange

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VITE VITE

VITE - A Next Generation High-performance Decentralized Application Platform DAG Ledger Transactions in Vite are grouped by accounts. That is, each transaction only changes the state of one single account. Send transactions are separated from receive transactions, thereby obviating the need to wait for a transfer to be complete before the initiation of another transaction. The hierarchical design of the consensus algorithm allows horizontal scalability in consensus groups. Asynchronous Architecture Vite splits transactions into transaction pairs according to a 'request-response' pattern. The writing and verification of transactions are asynchronously decoupled, thereby supporting ultra-high throughput. Inter-contract communications are based on an asynchronous messaging model. Reactive Contract Message-Driven With an event-driven architecture, every smart contract is viewed as an independent service. Contracts communicate via messages without sharing state. Solidity++ Solidity++’s syntax is compatible with most of that of Solidity. The new syntax supports asynchronous semantics, contract scheduling, and provides a series of standard libraries, such as string manipulation, floating-point operations, basic mathematical operations, containers, sorting, and so on. Integrated Decentralized Ecosystem End-to-end system for value transfer Vite itself is a decentralized exchange that supports digital asset issuance, cross-chain value transmission, and inter-token transactions based on the Loopring protocol. A quota-based resource allocation mechanism allows light users to pay zero fees and gas. Users can obtain computing resources in multiple ways. Vite also supports quota leasing. dApp Mini Programs The Vite client features an engine for creating HTML5-based decentralized mini programs. This engine simplifies the process of dApp development and deployment.



SingularityNET AGI

SingularityNET is a decentralized marketplace for Artificial Intelligence (AI). The business value of AI is becoming clearer each day; however, there’s a significant gap between the people developing AI tools (researchers and academics) and the businesses that want to use them. Most organizations need a more customized solution than what a single AI project can offer, and research projects oftentimes have trouble accessing a large enough data set to build effective machine learning. SingularityNET closes these gaps. The long-term vision of the SingulairtyNET team is to build a network of complex AI Agent interactions primarily using resources from the OpenCog Foundation. To look at this further, let’s check out their in-house built humanoid robot, Sophia. Sophia uses a combination of AI Agents that range from natural language processing to physical motor controls to operate. You tell Sophia to summarize a video that’s embedded in a webpage. To do this, Sophia sends a request to Agent A. Through its AI, Agent A knows that Agent B specializes in analyzing and transcribing video while Agent C specializes in summarizing text. Agent A pays Agent B and Agent C to perform these tasks while Sophia pays Agent A to coordinate. All the while, each Agent has updated their own AI with the network information gained from these tasks and combines it with their previous experiences and knowledge. Therefore, the collective AI of the system grows at a faster rate than any individual Agent. SingularityNET wants to build a decentralized protocol for creators and users of AI to interact with each other, to not only help individual projects benefit by leveraging the strengths of other AI systems that might handle certain tasks better, but ultimately to develop SingularityNET into a functioning AI system itself, with nodes on the network making their own decisions about how to connect services and proactively provide solutions to academic and business problems. Tokenizing the network creates an AI marketplace where AI developers and sellers can not only link with others who might assist in building more robust AI solutions, but also allow AI services and products to be bought and sold, creating revenue and establishing price points where none have existed before. The SingularityNET team boasts 50+ AI developers and 10+ PhDs. Dr. Ben Goertzel leads the group as CEO and Chief Scientist. He’s also the Chairman of the OpenCog Foundation and the Artificial General Intelligence Society, as well as the Chief Scientist at Hanson Robotics, the partner company helping bring SingularityNET to life. Dr. David Hanson, founder of Hanson Robotics, serves as the Robotics Lead. Most famously, Hanson Robotics built Sophia, the most expressive humanoid robot to date. Sophia is also a proud member of the SingularityNET team. The team recently released the alpha version of the platform and is planning on launching a public beta sometime in the middle of 2018.

SOURCE: COINGECKO



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