About the project:
Mindsync is a platform to address the problems of the customer with contests AI technologies, as well as a playground for these decisions and teaching datasets.
Our mission is to collect the best artificial intelligence experts and hackers, data scientists, developers, machine learning, large providers of data and computing power, investors, volunteers in one place to make the best solution to the AI more accessible, cheaper, easier for a wide range of clients, accelerate its development and create a global market for AI solutions
Mindsync provides a single platform for processing applied real-world problems, paid or free. The solution was a community of AI, DS, ML: you place an order on the solution containing the AI tech; developed by members of our community, completed tests and run on our platform.
Mindsync token is intended for investment in access platform solutions S and remuneration of members, such as machine learning developers, experts, volunteers and researchers, computing power and big data providers. Mindsync token is a token of the utility ERC20. The number of tokens is limited. The token Mindsync is designed to work on a decentralized technology BL blockchainchain, ensuring the transparency and security of all financial transactions.
Mission Mindsync
Platform for running client tasks to competition and market for AI technology solutions and training data sets. Our mission is to unite the best intellectual and hacking experts, scientists in the field of machine learning, data, big data and computing power providers, investors, volunteers in one place to make AI solutions more accessible, cheaper, simple for different customers, accelerate development, and create a global market for solutions to the AI.
Problems of artificial intelligence
Staff shortages. With each passing day, there is a growing demand for specialists in the sphere of application S, scientists in the field of machine learning, data and deep learning. Today, these specialists are rare and expensive. But in spite of that, the highly competitive nature of the business requires highly qualified staff effective solutions in the shortest possible time. The scarcity and cost of these resources are a big problem for organizations using or attempting to use the technology.
The high cost of computing power. Data science and machine learning tasks are usually expensive and can be effectively addressed through a large number of CPUs and/or GPUs. Using cloud services such as Amazon AWS, Google Cloud, Microsoft Azure, can solve this problem, albeit with unreasonably high price.
Despite the development of S-industry, in pursuit of AI ready decisions applicable to solve real business problems, as well as in other areas, their integration and adaptation remains a difficult issue.
The problem of security. The lack of automated data integrity and version control. These checks provide reproducible and are crucial in applied machine learning algorithms with high security requirements.
The high cost of computing power. Data science and machine learning tasks are usually expensive and can be effectively addressed through a large number of CPUs and/or GPUs. Using cloud services such as Amazon AWS, Google Cloud, Microsoft Azure, can solve this problem, albeit with unreasonably high price.
Despite the development of S-industry, in pursuit of AI ready decisions applicable to solve real business problems, as well as in other areas, their integration and adaptation remains a difficult issue.
The problem of security. The lack of automated data integrity and version control. These checks provide reproducible and are crucial in applied machine learning algorithms with high security requirements.
The decision of the
Establishment of expert community of artificial intelligence, machine learning and data Sciences to solve problems of the client, ML modelling, exchange of experience and competence.
Operation of crypto-mining farms and sharing computing power among some members of the community. This significantly reduces the cost of computing tripled compared with cloud computing.
The creation of a market ready solutions for S (MLmodels and datasets). Accommodation solutions in the market ready for the enterprise.
Introduction of blokchejna provides security and data integrity. ML-HASHES persistence models, data quality assessment decisions, ratings and metadata solutions platform participants are stored in the embedded blokchejne. This allows you to check the objects and their dependencies, which is extremely important when developing standard and safe solutions.
Platform
Mindsync provides a platform for processing applied real-world problems (paid or free). The decision creates communities of AI, DS and ML: you order a solution that contains an AI technology. developed by members of our community, fully tested and published on our platform. It can also be integrated into an existing business or another area.
Conclusion
Customers can order a new AI solution or use one of the solutions available for business from our repository, which experts of the Mindsync community evaluated to save time and solve other more complex tasks on the platform.
Mind Sync AIaaS platform allows internal start-up of production solutions and ask requests using the API, without using external servers to be implemented, i.e. On your side so you can create custom applications with AI with theoretically unlimited computing power for each device.
More Information :
WEBSITE: https://mindsync.ai
TELEGRAM: http://t.me/mindsync_ai
WHITEPAPER: https://mindsync.ai/docs/whitepaper.pdf
ANN THREAD: https://bitcointalk.org/index.php?topic=5083833/
FACEBOOK: https://fb.me/mindsync.ai.official
TWITTER: https://twitter.com/mind_sync
TELEGRAM: http://t.me/mindsync_ai
WHITEPAPER: https://mindsync.ai/docs/whitepaper.pdf
ANN THREAD: https://bitcointalk.org/index.php?topic=5083833/
FACEBOOK: https://fb.me/mindsync.ai.official
TWITTER: https://twitter.com/mind_sync
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