Convert SingularityNET AGIX to Molecules of Korolchuk IP-NFT VITA-FAST

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.

What is the project about? VitaDAO, a decentralized autonomous organization, introduces VITA-FAST, an innovative funding model for longevity research. Leveraging the Ethereum blockchain, VITA-FAST are ERC-20 tokens, signifying fractional ownership of the Intellectual Property Non-Fungible Token (IP-NFT) from longevity research conducted at the Korolchuk Lab, Newcastle University. VITA-FAST token holders gain governance rights over the IP, democratizing the decision-making processes in scientific research. 1. What is the project about? The project is focused on discovering and developing therapeutic compounds that can reactivate autophagy in Npc1 -/- cells. This involves screening bioactive and commercial small molecules in cell survival assays to identify potential autophagy activators that are not cytotoxic. The project uses advanced techniques like luciferase-p6 clearance and Halo-GFP-LC3 orthogonal assays for this purpose. 2. What makes your project unique? The project's uniqueness lies in its approach to identifying novel compounds that can induce autophagy in NPC1 -/- cells, a crucial process for treating Niemann-Pick Type C disease. Unlike existing treatments, this project employs high-throughput screening methods and innovative assays to discover compounds with high chemical variability and no similarity to existing autophagy inducers, opening up possibilities for new iIP. 3. History of your project. The project, led by Dr. Korolchuk and his team at Newcastle University, has progressed from generating data on thousands of compounds using advanced screening assays to identifying lead compounds with potential autophagic properties. It has evolved to include the synthesis of derivatives of these compounds and is now moving towards drug translation processes, including pharmacokinetics and scalability studies. 4. What’s next for your project? The next steps involve screening third-generation compounds, conducting in vitro and in vivo models using patient