Swash SWASH in SingularityNET AGIX tauschen

What is Swash?# Know your worth and earn for being you, online. Swash is an online earning portal where you can earn points for being active and completing tasks online. Redeem your earnings for cash, gift cards, and crypto or choose to donate to causes you believe in. Whether you’re surfing the web, seeing ads, or sharing opinions, you deserve to be thanked for your efforts. New ways to amp up your earnings are added to Swash every month! Alongside everyday internet users, Swash consists of a wide network of interlinking collaborators including: - brands that publish ads - businesses that buy and analyse data - data scientists who build models - developers who innovate on the Swash stack - charities who receive your donations The Swash value chain is powered by its native token ([SWASH]. SWASH is the network’s native utility token with a total supply of 1 billion. SWASH has a variety of use cases within the ecosystem and is used as a cross-chain utility and governance token integrating Ethereum, Gnosis Chain, and Polygon. It is fused with a constellation of partners and their native currencies, allowing for cross-fertilisation of value, increased adoption, and a seamless user experience.

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.