Intercambiar Shyft Network SHFT a SingularityNET AGIX

Shyft Network is a public blockchain protocol designed to aggregate and embed trust and validation into data stored on public and private ecosystems, and permissioned and permissionless networks. By facilitating bridging across siloed datasets, Shyft allows for layering of context on top of data, ultimately turning raw data into meaningful information. Shyft Network is developing regulatory-compliant tools for Decentralized Finance that bridge the gap for centralized and decentralized organizations to ease their entry into the blockchain space. The goal is to aid mainstream financial institutions venture into DeFi and participate in a compliant manner. By lowering risk and exposure to money laundering, the Shyft Network could open up the crypto industry to large capital inflows and, potentially, millions of users from the mainstream markets. Additionally, Shyft Network has been developing identity solutions that help centralized and decentralized applications become compliant with existing regulations. In this regard, they have partnered with various other entities in the space, notably virtual asset services providers (VASPs) who must comply with the FATF Travel Rule. Veriscope, Shyft Network’s proactive approach to regulatory compliance, has been applauded for its ability to bring together some of the most prominent liquidity providers in the space and to accelerate the potential mass adoption of decentralized applications. Founded in 2017 in Bridgetown Barbados, Shyft Network was built by a group of founders that have collectively launched several successful companies in the ecosystem since as early as 2012. The Shyft Network core team is responsible for technical development of the network architecture, establishment of use cases for the network and for the SHFT token, and guiding the vision for network growth and development.

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.