แปลง Enigma ENG เป็น SingularityNET AGIX

Enigma is a crypto platform that’s trying to solve the problem of privacy on the blockchain by giving them access to much-needed storage, privacy, and scalability. Enigma wants to extend Ethereum Smart Contracts by introducing secret contracts, a brand of smart contract that gives users an element of privacy that’s not intrinsic to current blockchain protocols. These contracts operate off-chain, meaning the execution of the Smart Contract doesn’t occur on the Ethereum blockchain itself. This is how the Enigma protocol works: it breaks up the Smart Contract and any related data into pieces, encrypts those pieces, and distributes them redundantly among Enigma nodes. Enigma has a protocol level. The Enigma privacy protocol allows for decentralized computation of sensitive data. It has a platform layer too. On this protocol, dozens of platforms such as data marketplaces and AI exchanges can be built. In its application layer, it enables thousands of truly decentralized apps that require private computation and secure data.Its first application is catalyst. Catalyst is the first application to be built on the Enigma protocol, already active with tens of thousands of users. Catalyst is a revolutionary platform for data-driven cryptoasset investing and research, built for professional crypto traders. Enigma has a team of MIT graduates, and they’ve been working diligently to ensure Enigma’s success. Guy Zyskind, Enigma’s CEO and cofounder, helped start the project while he was still a student at MIT. He has more than a decade of software development experience with an M.S. from MIT. Sandy Pentland, a well known MIT data scientist who gained fame for his work in data-mining social interactions, is Zyskind and Nathan’s adviser on Enigma. With other advisors such as Alex Pentland, who sits on the Advisory Boards for Google and Nissan, CEO of Abra, Bill Barhydt and director of MIT media lab, Prof. Alex Pentland, it is hard to difficult a fault in the team.

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.