Ocean

**Compute-to-Data technology** is emerging as a key infrastructure for the AI economy, offering a solution that balances multiple stakeholder needs. **Key benefits include:** - Data owners maintain full control over their assets - AI builders can access and utilize data for results - Compliance teams get transparent audit trails This approach addresses a critical gap in today's AI landscape, where data often operates in **opaque, black-box systems** that don't benefit original data creators. **The technology enables:** - AI training on private data without exposure - GDPR and regulatory compliance - On-chain royalties for data contributors - Full traceability of data usage The system integrates across blockchains, cloud platforms, and edge devices, creating an **interoperable foundation** for a Web3 AI economy that's regenerative, accountable, and designed to share value among participants. This represents a shift toward **decentralized AI infrastructure** where privacy, ownership, and monetization can coexist.

The **CivicLens challenge** ends today at 16:00 UTC with a **$10,000 prize pool** still up for grabs. Participants help build datasets for AI model training that enables compliance teams to: - Detect checkable statements faster - Identify market-moving information more accurately This data annotation challenge focuses on improving AI systems used in financial compliance and regulatory oversight. [Join the challenge](https://app.lunor.ai/challenge/1000039) before time runs out.

**Ocean Protocol has officially released its VS Code Extension** on the Visual Studio Code marketplace, making decentralized compute accessible directly from developers' coding environment. **Key features include:** - Run compute jobs and train AI models without leaving your IDE - Direct access to Ocean Nodes for decentralized computing - Built-in real-time monitoring for distributed AI workflows - Privacy-preserving Compute-to-Data job deployment The extension eliminates the need for separate dashboards, integrating **compute and data access directly into developers' workflows**. This streamlines the process of building federated learning systems and distributed AI applications. Developers can now tap into Ocean's decentralized infrastructure without switching between multiple tools or interfaces. The extension supports safe deployment of privacy-preserving AI models while maintaining the familiar VS Code development experience. [Try the Ocean VS Code Extension](https://docs.oceanprotocol.com/developers/vscode)

Ocean Protocol introduces Data NFTs, enabling researchers to tokenize and manage scientific intellectual property on-chain. Key features: - Mint sequences, models & datasets as verifiable assets - License genes for research with datatokens - Offer API access to models - Split royalties via smart contracts - Track versions & access logs The system provides automated IP management through smart contracts, replacing traditional legal processes. All assets are timestamped, auditable, and wallet-linked for seamless compliance and publication tracking. Learn more at [Ocean Protocol Docs](https://docs.oceanprotocol.com/developers/contracts/data-nfts)

As AI regulation tightens globally, Ocean Protocol introduces essential tools for data provenance and compliance: - **Data NFTs** for unique dataset identification and tokenization - **Datatokens** for controlled on-chain access - **Immutable logging** of all compute jobs and data interactions - **Version tracking** for both datasets and models The system creates transparent, auditable AI pipelines that help teams meet regulatory requirements like the EU AI Act. Ocean's stack transforms black-box AI into traceable, compliant systems. Learn more at [Ocean Protocol Developer Docs](https://docs.oceanprotocol.com/developers)

Traditional computing infrastructure faces new challenges in the AI era. While CPUs excel at sequential tasks and GPUs handle parallel operations, modern AI workloads demand capabilities beyond their limits. - CPUs: Optimized for logic and operating systems - GPUs: Better for rendering and ML inference - Limitations: Cost, energy demands, hardware constraints Distributed computing offers a solution by leveraging underutilized resources from gaming GPUs to enterprise systems. This approach provides: - Improved scalability - Cost effectiveness - Energy efficiency - Decentralized architecture

Ocean Protocol introduces a command-line interface (CLI) tool for managing data assets on their network. The tool enables: - One-step publishing of data services with NFTs and datatokens - Post-publication metadata and pricing updates - Streamlined data consumption with single commands - Compute-to-Data functionality using approved algorithms Setup requires cloning the repository and configuring environment variables. The CLI complements Ocean.js, their existing library for AI and data monetization. Get started: [Ocean CLI Repository](https://github.com/oceanprotocol/ocean-cli)

Ocean Protocol offers a comprehensive tech stack for AI developers with three key components: - **Data NFTs**: Tools to tokenize and share datasets securely - **Compute-to-Data (C2D)**: Privacy-preserving compute infrastructure - **Ocean Nodes**: Distributed AI infrastructure for fast processing The stack enables developers to build, train, and scale AI applications while maintaining data privacy and security. Each component works together seamlessly, allowing for secure data monetization and efficient model training. [Learn more about the Ocean tech stack](https://oceanprotocol.com/build/developer-hub/)

Ocean Protocol is positioning itself as an alternative to Big Tech's AI dominance by providing tools for open-source development. - Platform enables builders to create AI dapps with focus on: - Private data handling - Compute infrastructure - Algorithm development - User data control The developer hub offers a comprehensive framework for creating decentralized AI applications while maintaining data privacy standards. [Start building on Ocean Protocol](https://oceanprotocol.com/build/developer-hub/)

Ocean Protocol has released a VS Code extension that streamlines privacy-preserving compute operations. Key features: - Execute algorithms on protected datasets - Unified setup, compute, and result handling - Integrated developer environment The extension supports both Python and JavaScript, allowing developers to write, test, and run AI algorithms directly in VS Code. This integration simplifies the workflow for privacy-preserving Compute-to-Data operations. [Get started with the documentation](https://docs.oceanprotocol.com/developers/vscode)