High-Performance Blockchain tackles the concept of scalability from a completely different angle. Rather than just looking at the software side of things, the project also tackles the hardware aspect. To realize the optimal performance of blockchain applications, things will need to change in the near future. As such, this team is building an architecture which uses thousands of CPU and FPGA resources to create a more versatile and scalable ecosystem. There are a few aspects of the High-Performance Blockchain project to take into account. First of all, there is the chip-level acceleration engine which provides accelerated hardware chips to power this entire ecosystem. Secondly, the software side of the High-Performance Blockchain is integrated with the new dedicated hardware accelerated engine and focuses on depth and scaling customization. Third, the project claims it can produce a throughput in the millions of transactions without any major problems. While all of this sounds amazing, it is difficult to come by any real information regarding the technical aspects of either the hardware or the software side of High-Performance Blockchain. While the team mainly focuses on blockchain integration for real-world business cases, it remains to be seen how their chips will operate and how their algorithms are created. It seems the High-Performance Blockchain project is closely connected to the NEO infrastructure, which could introduce some interesting developments down the line. Building the High-Performance Blockchain infrastructure will take a lot of time and money. As such, the roadmap is filled with milestones which the team aims to achieve in the coming years. A testnet version of this project will be launched at some point in 2018, which will undergo further improvements for several months. The actual manner will launch in Q2 of 2018 if things go according to plan. However, the official version will not go live until mid-2019 at the earliest.
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.