Revolutionizing AI: nChain's Groundbreaking Blockchain Integration

nChain Unveils New Era of Verifiable AI on Blockchain

Leading experts at nChain have recently made headlines by proving the potential of artificial intelligence (AI) systems to be verified using blockchain technology. This innovative approach ensures that AI models function according to their specifications, maintain ethical standards, and operate without revealing proprietary information. By advancing trust and accountability in AI, nChain is setting a remarkable precedent for future developments.

A Breakthrough in AI Inference

In a significant demonstration, nChain showcased how verifiable AI inference can operate on the Bitcoin network, specifically leveraging the Bitcoin Satoshi Vision Blockchain (BSV Blockchain). This breakthrough allows relevant transactions to be processed in a decentralized manner, enabling an independent verification platform that ensures security and reliability in AI outputs.

Transforming Machine Learning with Blockchain

The idea of implementing verifiable computation into machine learning may seem revolutionary, but nChain's team is committed to exploring its boundaries. Dr. Hamid Attar, the lead AI Researcher at nChain, emphasizes, "Training is computation. Inference is computation. If you can do verifiable computation, then you can do verifiable training or verifiable inference." This philosophy drives the team to consider how blockchain can enhance AI's efficiency and reliability.

The Process of Verifiable AI

To demonstrate this concept, nChain trained a neural network on the well-known MNIST dataset, which consists of images of hand-written digits. The model applied to real-time input images generated a predicted output corresponding to the digit represented. A cryptographic proof was essential to ensure that each output derived from processing the specific input image without disclosing any information about the model itself.

Benefits of Verifiable Outputs

Furthermore, with this approach, nChain assists in proving the integrity of AI models and their training datasets. For example, it's possible to demonstrate that a generative AI model learned from a dataset devoid of biases, ensuring ethical utilization. Developers can prove that no tampering occurred when training AI models, enhancing trust among users and developers alike.

nChain's Commitment to Innovation

What makes nChain's achievements even more impressive is their commitment to ensuring that AI outputs can be verified once generated. Notably, whether it's an art piece created via an AI prompt or queries from AI systems like ChatGPT4, nChain strives to confirm that users receive accurate and accountable results.

A Bright Future for Blockchain and AI

NChain is proud of its pioneering work in demonstrating verifiable AI inference on Bitcoin for the first time. They continue to develop their zkScript GitHub repository while highlighting the relevance of their transactions on the Bitcoin Satoshi Vision mainnet. This ongoing project could shape the future landscape of AI, enhancing trust and transparency in interactions involving machine learning applications.

About nChain

nChain is recognized as a frontrunner in blockchain technology, offering robust software solutions, consulting services, and intellectual property licensing to clients across varied industries. The firm, established in 2015, has expanded its team to over 260 employees and commands a substantial patent portfolio with more than 3,900 patents and applications, including 1,090 that have been granted. As developers of the Bitcoin SV Node software and Teranode, nChain is a key player in the evolution of blockchain technology.

Frequently Asked Questions

What is verifiable AI?

Verifiable AI refers to the use of blockchain technology to ensure that AI systems operate according to defined specifications, maintaining accountability and transparency.

How does nChain implement AI verification?

nChain employs cryptographic proofs alongside blockchain transactions to verify that specific outputs are generated correctly by trained AI models.

What datasets does nChain use for training AI?

The nChain team has successfully trained AI models using datasets like MNIST, which consists of images of hand-written digits.

What are the advantages of using blockchain for AI?

Blockchain ensures independent verification, improves accountability, and enhances the security of AI outputs, fostering trust among users and developers.

How can I learn more about nChain's technology?

For more information about nChain's innovative solutions and technologies, please visit their official website and GitHub repositories to explore their projects and patents.

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