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London March 10, 2021 – – Using blockchain to equalize machine learning, GNY today launched the world’s first blockchain supplying access to effective maker finding out functionalities on a protected and collaborative decentralized platform.
Empowering organizations and organizations to resolve big and complex problems, GNY’s Mainnet will enable users to use its blockchain architecture to run machine learning analysis of any kind of data – – from financial records to public health details – – without risking delicate information theft. The Mainnet launches with 5 machine learning usage cases, which will broaden to lots by the end of 2021 and eventually hundreds.
The launch follows 18 months of advancement and rigorous testing. To demonstrate its prospective impact, one GNY test exposed how scientists might utilize Mainnet to establish a personal blockchain to run comparative analysis of day-to-day COVID-19 deaths from specific cities. Another test demonstrated how the platform could be used to combat environment change by examining multiple sets of public and personal data to predict when peak nonrenewable fuel source usage will occur.
According to Cosmas Wong, the Founder and CEO of GNY, the platform represents a major advance in efforts to make the power of machine learning accessible to organizations of any size.
“Machine knowing can be a force for good for fixing the world’s most pressing problems, however it needs to be accessible, affordable, and protected,” says Wong. “Our objective is to equalize artificial intelligence so that anyone can take advantage of all the chances enabled with this powerful technology.”
On GNY’s Mainnet, data is decentralised, making sure hackers have no single server to attack. GNY’s machine learning platform can process the information directly on the chain. GNY’s online portal, called the GNY Web wallet also breaks brand-new technical ground with SwapGate, a first-of-its-kind function which enables private token holders to move from one token to another beyond an exchange.
To guarantee that the platform produces high-quality outcomes, GNY’s maker learning innovation and information diagnostic service prepares or “cleans” information for analysis, assists choose which algorithms provide the very best correlations, forecasts and outcomes, and then helps deploy those outcomes to assist future actions.
“GNY’s level of information preparation is not to be undervalued as we understand that tidy outcomes need clean data,” states Richard Jarritt, the Founder and Chief R&D Officer of GNY. “No other blockchain or artificial intelligence task we understand of offers this level of quality control.”
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