Helios Neural Network (HNN)

Powering Artificial Intelligence on the Blockchain

Review Score
ICO Price
0.029059 USD
0.0001666666 ETH
Pre ICO Price
0.043589 USD
0.00025 ETH
Soft Cap
Hard Cap
250,000,000 HNN
Pre ICO Start Date
1 October 2018
Pre ICO End Date
31 October 2018
Start Date
1 October 2018
End Date
31 October 2018

What is Helios Neural Network?


HNN’s design and proposed platform will uplift the cost and compute payload into a distributed network via a custom built Blockchain comprised of master nodes. The master nodes will be rewarded for storage and compute proportional to the contribution made into the network.

Using this approach, the HNN network will not only provide computing power for researchers and Ai applications but also allow access to low cost unlimited distributed storage that is catalogued, immutable, secure and anonymised.

Globally, healthcare providers of diagnostic imaging and other medical modalities will be able to send data into the HNN network using industry standard protocols with the assurance that the data will be preserved for use in the betterment of care via Ai solutions.

Ai vendors, through compliance will be able to send their existing data into HNN providing an immediate cost saving on infrastructure. Many Ai vendors are currently partnered with healthcare providers for data access; HNN will provide means to leverage these partnerships with defined smart contracts ensuring any stipulations for restrictions on data access are upheld where applicable.

Through the use of custom APIS that comply with industry standard protocols such as DICOM and FHIR, HNN will enable integration with existing clinical record and acquisition systems for seamless commits of data into the network.

To ensure transparency, the network will be able to be queried for as-is state at any point and will be able to return results from SQL-type queries that comply with bespoke requirements and contract criteria. This approach will ensure that the confidentiality of any stored data is upheld to the highest level possible.

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