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Neuromation offers a unique solution that unites market resources, the scientific community, and commercial and private entities into an integrated marketplace -- the Neuromation Platform. To address the most critical issue, Neuromation focuses on synthetic datasets that have been proven to yield compelling results. Using synthetic datasets in machine learning will further decrease the cost of -- and will ease -- widespread AI adoption.
The AI ecosystem is founded upon three pillars:
● Datasets – large datasets of structured (or unstructured) data used for deep learning algorithms to learn a specific task.
● Computing power – a standalone server or a farm of interconnected GPUs designed to provide the necessary framework for training AI models with existing datasets to achieve the objective.
● Machine learning models – a set of algorithms designed to process datasets in the Neuromation Platform environment. Each of these domains poses a unique set of challenges for both the supply and demand side of the AI ecosystem. Neuromation offers a new and effective approach of connecting supply and demand for each of these domains in a marketplace, bringing together competencies of researchers, engineers, and designers and connecting them with commercial sector companies.