Dropil offers a full investing suite including financial planning, retirement savings, and of course trading. Their primary target market is inexperienced investors who are looking for an easy way to enter into the cryptocurrency markets, but they also have something to offer the more experienced investor, cryptocurrency and otherwise. And they claim to be able to set-up investment planning for anyone, regardless of their risk tolerance or background. Of course the main selling point of Dropil is the automation of the cryptocurrency trading process. The platform requires little input from investors and claims it will deliver high profit margins and minimal risk of losses. A second part of the Dropil platform is the Arthur bot. This bot is the risk management bot, which manages investor portfolios and also provides arbitrage analysis. While it is less complex than Dex, it is still important as it will monitor up to 13 different exchanges and 10 different coins to find arbitrage opportunities for you. What is most important to note is that this can all be done without the use of an API as well as no user accounts needed. Future plans include expanding this functionality. The final aspect of the Dropil ecosystem is the DROP token, which is an ERC-20 token that was created to help ensure privacy, while also powering the internal economy of Dropil. The team chose to use the ERC20 protocol to help foster compatibility and quick exchange executions to benefit the entire community. The DROP token has a total supply of 30 billion coins, which was determined to be an optimal amount for asset management by the developers. It was also chosen with the optimal user base in mind, as well as the need for coins to be traded and achieve widespread adoption. The need to use the DROP token to access the feature of Dropil should ensure a good implementation and demand for the token. Dropil looks like an interesting project that is tackling the complexity of investing in cryptocurrencies. The idea of automated trading, investing and arbitrage is a compelling one, but it does sound familiar. Stocks, commodities and forex all have these types of automated systems, or robots, that promise guaranteed returns. I have yet to come across one that is reliable in the long term. Perhaps the artificial intelligence algorithm is advanced enough to change that. Perhaps cryptocurrency market movements are easier to analyze and predict.
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.