iExec RLC RLC to SingularityNET AGI Exchange

Crypto Pair Details: RLC to AGI

iExec RLC RLC

iExec is an open-source, decentralized cloud computing platform, running on Ethereum blockchain. iExec allows decentralized applications (dApps) an on-demand access to computing resources and technologies on iExec cloud. iExec has built a blockchain network where dApps can take advantage of cost effective and high-performance resources such as servers, databases, SaaS applications, web hosting and computer farms. iExec’s native cryptocurrency — The RLC token is the primary asset used to access services in iExec infrastructure. RLC is short for “Run on Lots of Computers.” iExec is headquartered at Lyon, France. It was founded by Gilles Fedak and Haiwu He, both are serving as Chief Executive Officer and Head of Asian-Pacific Region of iExec, respectively. Oleg Lodygensky is the Chief Technical Officer. Gilles Fedak received his PhD from the University of Paris Sud in 2003, and has been working as INRIA (Inventeurs du Monde Numerique) research scientist at ENS in Lyon, France. Similarly, Haiwu completed his M.Sc. and PhD from the University of Sciences and Technologies of Lille, France. On April 19, 2017, iExec launched its token sale and raised more than $12 million in exchange for 86,999,784 RLC. In order to support dApps, smart contracts, and their platforms, iExec takes processing-intensive computations off-chain so as to keep a blockchain’s on-chain functions running smoothly. To do this, iExec makes use of XtremWeb-HEP, an open-sourced Desktop Grid Software. Desktop Grid computing (also known as Volunteer Computing) pools unused computing resources to be used by applications and platforms, and according to iExec’s whitepaper, XtremWeb-HEP “implements all the needed features” to make this possible on a global scale, including “fault-tolerance, multi-applications, multi-users, hybrid public/private infrastructure, deployment of virtual images, data management, security and accountability, and many more.” Essentially, with this software, dApps can utilize any computing resource in the iExec framework to run their programs. In their whitepaper, the iExec team lays out the project’s competitive landscape and explains these competitors in relation to iExec. They’re quick to note that decentralized cloud storage providers like Filecoin, Storj, and Siacoin are not direct competitors, and it’s easy to see why. While iExec could theoretically take a step in this direction as it matures, it’s not a storage platform; it’s a computing platform. This does put it in competition with other decentralized computing protocols like Golem and SONM. Both of these, however, are taking aim at a different animal. Essentially, they’re both building a decentralized supercomputer on blockchain technology, while iExec is targeting dApp development and sustainability. Both look towards a future of a blockchain-powered, decentralized internet, but their functions, while sometimes similar, are more complementary than conflicting.

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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