OG Labs, the first modular AI chain for dApps, recently launched an exclusive partnership. The company revealed that it has collaborated with Pond (an artificial intelligence-powered neural network) to bring exclusive features to the community members. In this regard, the platform discussed Pond’s Graphic Neural Network ecosystem.
0G is excited to announce our partnership with @PondDiscoveries
Pond’s Graphic Neural Network (GNN) ecosystem requires a hyper-scalable data storage and data availability solution, fully interoperable with external AI models.
Here’s what this means for crypto x AI
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— 0G Labs (@0G_labs) April 19, 2024
OG Labs and AI-Driven Pond collaborate to provide data storage and AI model compatibility
On its official account on According to this, the solution should also provide data storage along with full interoperability with other AI models. Additionally, the company noted that the networks and dApps have interconnected and complicated relationships with users.
The respective relationships are similar to the structures of neural networks. To deal with this, the GNNs play an important role. These fall within the category of an unconventional AI model type of AI models. It is said to consist of nodes (e.g. a wallet/user) and edges (denoting relationships). Artificial intelligence allows the analysis of the respective complicated relationships.
The Move offers many exclusive options
This development paves the way for node classification, graph generation, graph classification and link prediction. Although Pond owns its own models, others can reportedly develop their own. This may result in a merger for greater optimization. This offers various options such as SocialFi & Gaming, On-Chain Marketing, Security, Financial AI and Price Predictions.
Some other things include the in-game action research, recommendation engines, strange behavior detection, liquidity optimization, and sentiment analysis. To make this a reality, however, there is a need for a highly scalable data storage infrastructure. At this point OG steps in and enables the storage and rapid retrieval of large amounts of data. OG works for any Web2 data type and provides data that can be retrieved very quickly.
