quick look
- Nesa uses zero-knowledge-based machine learning (ZKML) to enhance privacy and security, setting a new standard in decentralized AI.
- It combines hardware and software protocols to enhance security and computational speed, and improve AI inference processes.
- It offers a market for trustless querying and querying using smart contracts, ensuring data integrity and user privacy.
- It supports the processing of transactions and node rewards on Nesa's blockchain, which is essential to the functionality of the platform.
In the rapidly evolving landscape of blockchain technology and artificial intelligence, a new player has emerged: Nesa. The lightweight blockchain Layer-1 is not just another platform. The team designed it to implement AI inference with unprecedented privacy, security, and trust. By leveraging the power of on-chain zero-knowledge machine learning (ZKML), Nesa is emerging as a powerful alternative to centralized AI platforms like ChatGPT. Its main attraction? More privacy and transparency, which is often compromised in traditional settings.
Innovative nissa edge
This project introduces several groundbreaking innovations that address critical weaknesses in current AI inference frameworks:
- Decentralized framework: Using a model-agnostic partitioning approach, the company ensures that AI training and inference is decentralized and optimized for efficiency across different computational environments.
- Hybrid sharing: This new approach combines the benefits of hardware and software privacy protocols. It also enhances the overall security and computational throughput of the platform.
- Enhanced security protocols: Nesa provides an environment immune to potential security threats through consensus-based verification and split learning. Moreover, it maintains privacy and integrity across processes.
These technical advances represent this project as a frontier in the field of decentralized AI, pushing the boundaries of what is possible using blockchain and AI.
Inside Nysa: the main architectural pillars
The team intelligently designed Nesa's architecture to handle complex, privacy-sensitive AI tasks with ease and efficiency. At its core, there are three main components:
- Submitting requests for evidence: Users interact with the blockchain by making inference requests. The platform then verifies and collects them through smart contracts.
- Series contracts: These contracts play a crucial role in verifying and compiling the results, ensuring that the output is accurate and tamper-resistant.
- Node processing: Nodes on the Nesa network use a commit detection system to process requests. The latter helps prevent dishonest behavior and enhances network credibility.
NISSA's proactive approach to AI challenges
The platform also addresses several important challenges in the AI and blockchain ecosystem. By decentralizing the inference process and using the latest encryption technologies, it reduces privacy risks and secures data against unauthorized access. Moreover, the hybrid partitioning method significantly reduces the computational bottlenecks that plague centralized architectures. The company also works to facilitate access to high-performance computing resources. It mitigates the high costs and scarcity of resources that often hinder large-scale AI applications.
AI solutions pioneered by the project
At the heart of Nesa's offering are its comprehensive solutions designed to revolutionize AI querying and processing:
- Decentralized query market: Nesa offers the first-ever decentralized query marketplace for AI, driven by a powerful reward economy that incentivizes honest and efficient calculations.
- Untrusted query: The platform makes it possible to query the AI model off-chain using parameters and outputs that remain confidential, ensuring user privacy and data security.
- Distributed Inference Protocol: This protocol allows for scalable data processing and privacy preservation, which is critical in sensitive applications.
- Smart contracts for verification: The use of smart contracts facilitates accurate verification and collection processes. This also makes the system highly auditable and transparent.
NES Code: Feeding the NES Ecosystem
The Nesa ecosystem is powered by its native utility token, NES, which runs on the COSMOS network. With a total supply of 1 billion tokens, NES is an integral part of facilitating various operations within the Nesa blockchain. This also includes transaction processing and contract reward. The anticipation around the ICO sale is palpable, given the innovative steps the platform is taking.
A closer look at recent developments
Nesa is not just about high-risk technology, it's also about significant breakthroughs. The launch of the first global on-chain decentralized repository for AI models represents a pivotal advance in making decentralized AI services mainstream. Furthermore, the company offers frameworks to redefine how AI models are trained and deployed. Thus, it ensures faster and safer AI operations.
Nesa ICO's vision for Blockchain AI technology
Nesa embodies the potential of integrating artificial intelligence with blockchain to overcome traditional limitations of privacy and centralization. As it progresses, the project appears aimed at enhancing the operational capabilities of AI models. Moreover, it also ensures that these capabilities are accessible, safe and effective. With its innovative approach and solid technology foundation, Nesa appears poised to be a major player in the decentralized technology landscape, transforming AI reasoning into a more reliable and scalable practice.
