ASTRA Social Supercomputer
MOTIVATION
Even after 200 years of innumerable medical breakthroughs, life-threatening disease still afflicts the vast field of humanity. About 8 million people die from cancer worldwide every year. Nearly half a billion people suffer from Malaria every year and close to millions of years of children from mosquito bites, but we still do not have an effective vaccine against it. Heart disease and stroke take the lives of 15 million others prematurely. And there are some new pandemics, such as SARS, Ebola, and Zika, suddenly emerging and cruelly shortening the lives of millions of children, women and men. Finding causes and cures for new imperialist challenges requires scientists to explore potential pathways quickly and then focus on the most promising for further research. In modern medicine, the exploration of various sensible pathways quickly requires enormous computing power, which our scientists unfortunately do not have. However, we all have powerful computers with capacity in teraFLOPS (1012) sitting quietly in our homes, at work, in our pockets, and in our cars. If we can easily combine our backup computing power for the above noble cause, then we can build the strongest Supercomputer in the world the exploration of various sensible pathways quickly requires enormous computing power, which our scientists unfortunately do not have. However, we all have powerful computers with capacity in teraFLOPS (1012) sitting quietly in our homes, at work, in our pockets, and in our cars. If we can easily combine our backup computing power for the above noble cause, then we can build the strongest Supercomputer in the world the exploration of various sensible pathways quickly requires enormous computing power, which our scientists unfortunately do not have. However, we all have powerful computers with capacity in teraFLOPS (1012) sitting quietly in our homes, at work, in our pockets, and in our cars. If we can easily combine our backup computing power for the above noble cause, then we can build the strongest Supercomputer in the world
Astra weave together billions of devicestos to build one of the world’s strongest Supercomputers with processing capacity in exaFLOPs (1018) and storage capacity at zettaFLOPs (1021). This worldwide supercomputer will be available to researchers around the world. In addition, Astra utilizes the latest Trust Engine1 technology to design Astra’s innovative Incentive System – Social Supercomputer
4so that all citizens of the world are awarded for sharing their backup computing resources for noble purposes. People will earn both a Social Prize and a valuable Digital Currency for their contribution (including the original currency of the Astra ecosystem called STAR). Scientists in other disciplines, such as Climate Change, Subatomic Physics, Astronomy, Genomics, Materials Research, Machine Learning, Economics, Linguistics, and Humanities also require unlimited computing power and storage capacity to solve difficult problems. The Astra Supercomputer will also be used by these scientists for breakthrough invention
In recent years, other revolutionary discoveries have arrived at the horizon that has the potential to empower people around the world to develop economically, politically, and socially and reach their full potential. This can make our economy supereficient and transparent and corruption-free. This revolutionary technology is Trust Machines that enable us to automatically build and preserve collective social truths. However, trust automation requires the maintenance of many (thousands) of information and constant communication between them for verification and synchronization. Thus, the Trust Machine is very compact, storage, and intensive communication.
THE PROBLEM There are four computing challenges that require more computing, storage, and network resources than currently available. These are: 1.Medical, Scientific, and Humanities Research2. Verify Public Information for Trust3 Machine. Large Data Analysis, Machine Learning, and Artificial Intelligence4.On Demand Edge Computing for Global Sensor Network
Astra weave together billions of devicestos to build one of the world’s strongest Supercomputers with processing capacity in exaFLOPs (1018) and storage capacity at zettaFLOPs (1021). This worldwide supercomputer will be available to researchers around the world. In addition, Astra utilizes the latest Trust Engine1 technology to design Astra’s innovative Incentive System – Social Supercomputer
4so that all citizens of the world are awarded for sharing their backup computing resources for noble purposes. People will earn both a Social Prize and a valuable Digital Currency for their contribution (including the original currency of the Astra ecosystem called STAR). Scientists in other disciplines, such as Climate Change, Subatomic Physics, Astronomy, Genomics, Materials Research, Machine Learning, Economics, Linguistics, and Humanities also require unlimited computing power and storage capacity to solve difficult problems. The Astra Supercomputer will also be used by these scientists for breakthrough invention
In recent years, other revolutionary discoveries have arrived at the horizon that has the potential to empower people around the world to develop economically, politically, and socially and reach their full potential. This can make our economy supereficient and transparent and corruption-free. This revolutionary technology is Trust Machines that enable us to automatically build and preserve collective social truths. However, trust automation requires the maintenance of many (thousands) of information and constant communication between them for verification and synchronization. Thus, the Trust Machine is very compact, storage, and intensive communication.
THE PROBLEM There are four computing challenges that require more computing, storage, and network resources than currently available. These are: 1.Medical, Scientific, and Humanities Research2. Verify Public Information for Trust3 Machine. Large Data Analysis, Machine Learning, and Artificial Intelligence4.On Demand Edge Computing for Global Sensor Network
Astra – The Social Supercomputer6 Finding the cause and cure for various terrible diseases that afflict humans requires endless computer simulations.Similarly, finding materials that can absorb maximum sunlight for solar panels requires scientists to examine millions of molecular combinations. For research efficiency, scientists want to conduct research based on data where complete simulations are run before promising paths are identified for further investigation. The computing and data storage needs of scientists are likely to grow in the coming years with large orders. With the arrival of TrustMachines, it is now possible for the first time in human history to build publicly-held data storage that can be publicly audited. Such trustworthy data repositories encourage people to work with others they do not know or trust. They will allow people to hold their companies, institutions, and governments accountable. A powerful data repository will lead to a highly efficient economy and a transparent, corruption-free government worldwide. However, the Watch Machine requires multiple copies (thousands) of a piece of information and constant communication to keep it in sync automatically. Thus, the new automated trust system is in dire need of computing, storage, and intensive communication. Adventof the Internet in the 1990s enabled businesses and governments to collect large amounts of data from people and machines.Businesses and governments soon realize that they can gather valuable insights and intelligence by analyzing the Big Data. The Big Data sustainable statistical analysis of Big Data requires extensive computing, storage, and network resources. In addition, the mountains of repetitive data can be fed to the machine so they can automatically learn past patterns and then intelligently respond to future events. Again, this is a Machine training with repetitive data (euphemisrepetitive mountain data can be fed to the machine so they can automatically learn past patterns and then intelligently respond to future events. Again, this is a Machine training with repetitive data (euphemis repetitive mountain data can be fed to the machine so they can automatically learn past patterns and then intelligently respond to future events. Again, this is a Machine training with repetitive data (euphemis
Astra -The Social Supercomputer
7 known as Machine Learning) requires Supercomputing capabilities. Fourth is the proliferation of sensors in all walks of life. Specifically, video sensors in smartphones, security cameras, and self-driving cars are generating great data.This data must often be stored and processed where it originated without the luxury of transporting it all the way back to a centralized data center. In the coming years, the need for such computing on the edge of the network with strict performance requirements will increase exponentially. To overcome the above computing challenges, we have three options. Whether we are building a large number of fast $ 100 Million Fast Supercomputers or large Data Centers that start at $ 250 Million to $ 1 Billion. The third option is to connect billions of computing devices over the Internet and use their backup computing capacity to overcome the above challenges. There are a number of open source “Network Sharing” connecting computers. However, this open source “Network Sharing” suffers from three fundamental issues: 1. Convenience Problems 2. Causes of Market Problems3. Incentive Issues ATR’s first mission is to solve all three basic problems above to start the market for “Online Computer Sharing.” In the second phase, Astra will focus on data security and performance assurance issues.Excellent Convenience There are a number of open source “Network Share” connected This open source “Network Sharing” suffers from three fundamental issues: 1. Convenience Problems 2. Causes of Market Problems3.Incentive Issues ATR’s first mission is to solve the three basic problems above to start the market for “Online Computer Sharing.” In the second phase, Astra will focus on data security and performance assurance issues.Excellent Convenience There are a number of open source “Network Share” connected This open source “Network Sharing” suffers from three fundamental issues: 1. Convenience Problems 2. Causes of Market Problems3. Incentive Issues ATR’s first mission is to solve all three basic problems above to start the market for “Online Computer Sharing.” In the second phase, Astra will focus on data security and performance assurance issues.Excellent Convenience There are a number of open source “Network Share” connected
computer. However, each “Network Sharing” requires a complex software download process, installation, parameter settings, and learning to operate it.In addition, for every computing resource (CPU, GPU, Storage, and Networking), users are expected to download and prepare a separate set of software programs. In addition, the prizes offered by various “Network Sharing” vary with time and location. In addition, often “Network” does not reveal in advance how much will be generated by consumers by leasing computing and storage capacity of their reserves. Dark markets only deposit certain tokens in a consumer account after their resources are consumed. So, for maximum profit, consumers are expected to download a number of programs “
Astra -The Social Supercomputer
7 known as Machine Learning) requires Supercomputing capabilities. Fourth is the proliferation of sensors in all walks of life. Specifically, video sensors in smartphones, security cameras, and self-driving cars are generating great data.This data must often be stored and processed where it originated without the luxury of transporting it all the way back to a centralized data center. In the coming years, the need for such computing on the edge of the network with strict performance requirements will increase exponentially. To overcome the above computing challenges, we have three options. Whether we are building a large number of fast $ 100 Million Fast Supercomputers or large Data Centers that start at $ 250 Million to $ 1 Billion. The third option is to connect billions of computing devices over the Internet and use their backup computing capacity to overcome the above challenges. There are a number of open source “Network Sharing” connecting computers. However, this open source “Network Sharing” suffers from three fundamental issues: 1. Convenience Problems 2. Causes of Market Problems3. Incentive Issues ATR’s first mission is to solve all three basic problems above to start the market for “Online Computer Sharing.” In the second phase, Astra will focus on data security and performance assurance issues.Excellent Convenience There are a number of open source “Network Share” connected This open source “Network Sharing” suffers from three fundamental issues: 1. Convenience Problems 2. Causes of Market Problems3.Incentive Issues ATR’s first mission is to solve the three basic problems above to start the market for “Online Computer Sharing.” In the second phase, Astra will focus on data security and performance assurance issues.Excellent Convenience There are a number of open source “Network Share” connected This open source “Network Sharing” suffers from three fundamental issues: 1. Convenience Problems 2. Causes of Market Problems3. Incentive Issues ATR’s first mission is to solve all three basic problems above to start the market for “Online Computer Sharing.” In the second phase, Astra will focus on data security and performance assurance issues.Excellent Convenience There are a number of open source “Network Share” connected
computer. However, each “Network Sharing” requires a complex software download process, installation, parameter settings, and learning to operate it.In addition, for every computing resource (CPU, GPU, Storage, and Networking), users are expected to download and prepare a separate set of software programs. In addition, the prizes offered by various “Network Sharing” vary with time and location. In addition, often “Network” does not reveal in advance how much will be generated by consumers by leasing computing and storage capacity of their reserves. Dark markets only deposit certain tokens in a consumer account after their resources are consumed. So, for maximum profit, consumers are expected to download a number of programs “
he Market-SeedingProblemThe peer-to-peercomputer share is a new marketopportunity. Therefore, the next big challenge is how to systematically cultivate and grow such a market. Demanding markets requires the creation of ‘initial supply’ of shareable computing resources and ‘initial demand’ in the absence of Capital for upfront investment. Astra is completing these challenges by collaborating for detailed information:
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