Anaphora; Enhancing Smart Grid Resilience and Efficiency Through AI and Renewable Energy Integration"

Presentation

Anaphora AI is developing a decentralized Artificial Intelligence platform and marketplace, using blockchain technology to offer AIaaS (Artificial Intelligence-as-a-service) solutions. The goal is to democratize AI services and make them accessible to businesses and consumers. AI solution developers can list and sell their products in the marketplace, while companies and consumers can utilize AI services from different providers, paying only for what they use. This approach allows AI service providers to monetize their products and services through a diverse marketplace.

The popularity of AIaaS has been increasing due to businesses seeking AI solutions for various issues. The market is projected to grow significantly, reaching USD 28.58 billion by 2025 from USD 6.68 billion in 2023. However, the current centralization of AI services among a few major companies raises concerns. Additionally, obtaining high-quality datasets and innovative algorithms can be challenging, as owners may be hesitant to share their valuable assets. Anaphora AI's solution aims to address these issues by using blockchain to create a transparent and tamper-proof marketplace with auction-based pricing for datasets, machine learning algorithms, and cloud computing resources. They also implement Trusted Execution Environments to protect code and data integrity during ML tasks.

In the Anaphora AI marketplace, transactions will be conducted using their ERC-20 token, ANAPH, as the utility currency. Clients looking for AI products or services can publish their requirements, and providers (Data, Algorithm, and Infrastructure) can bid on the project, offering their prices and capabilities to meet the client's needs.

Anaphora AI's AIaaS Marketplace

Anaphora AI is creating a decentralized AI platform and marketplace using blockchain technology, offering AIaaS solutions. Their goal is to democratize AI services, making them accessible to businesses and consumers. Developers can list and sell AI solutions, while users can access services from various providers and pay for what they use, avoiding high development costs. The increasing popularity of AIaaS has led to a projected market value of USD 28.58 billion by 2025. However, issues arise from centralized services and difficulties in obtaining high-quality datasets and algorithms. Anaphora AI's solution includes a transparent marketplace with auction-based pricing for datasets and ML algorithms, and Trusted Execution Environments to protect code and data integrity. The marketplace will operate through an auction system using their ANAPH token as currency, with clients publishing their needs and providers bidding for projects. Providers are categorized into Data, Algorithm, and Infrastructure providers.

Auction phase
The writeup describes the auction phase in Anaphora AI's decentralized AI platform and marketplace. During this phase, AI providers bid on client requests by proposing prices for their solutions. The client locks a certain amount of ANAPH tokens as a reserve price to pay for the chosen solution. The auction ends when the client adjudicates the contract or after a set time. Providers can participate, and the first bid sets the base price, which can be lowered by competing providers. The winning bid with the lowest price for the requested solution is made public through an Auction Service Level Agreement (SLA) on the blockchain. To address concerns about immaterial assets' quality (datasets and algorithms), providers can reference previous auctions with matching bids to demonstrate suitability. Bids without references are expected to be cheaper than referenced ones.

Secure Learning Phase: After identifying providers, immaterial assets (datasets and algorithms) are transmitted to the infrastructure provider (IP) for machine learning computation. To prevent data and intellectual property leaks from a compromised provider, a secured learning environment is used. Trusted execution environments (TEEs) like Intel SGX enclaves are employed for secure machine learning and model creation. TEEs ensure the data is protected from the infrastructure provider, and data providers receive attestation to verify security. For algorithm security, TEEs and Linux containers are used to prevent compromise and ensure intellectual property protection.

Restitution Phase: Once the learning phase is complete, the model is provided to the client through the secure TEE channel. The client assesses the result off-chain and acknowledges it in the auction SLA contract. This triggers the payment to the providers and allows the client to retrieve any unspent resources from the reserve price.

Also the preliminary implementation of the blockchain-based marketplace, focusing on the Solidity implementation and a cost analysis for evaluating the overall solution cost. The secured learning environment is planned for future work.

The problem
It addresses the high cost and complexity associated with developing AI tools and services for companies and consumers.

Anaphora AI provides a solution by offering a marketplace where companies can pay providers for AI solutions or services based on what they use. This way, companies can avoid the expensive investment in building their own AI solutions, including the costs of machines, programmers, and R&D. Anaphora AI's cloud-based platform offers a cheaper and more efficient option for businesses and organizations to access AI tools and services. They aim to democratize AI solutions, making them accessible to both businesses and consumers. AI developers can list and sell their solutions in the Anaphora AI marketplace.

Applications of AI to improve the power grid and help create a smart grid

The integration of renewable energy sources like cooperatives and prosumers brings challenges of intermittency and variability in power generation. To address this, sensors and automation can be used in a smart grid to identify vulnerable parts of the grid and reroute surplus energy during peak generation times for use during gaps in flow, increasing agility and resilience.

To handle price variability in the utilities sector, predictive analytics models combining data from advanced metering infrastructure (AMI) with AI can more accurately forecast power loads and renewable energy generation, leading to more precise forecasting.

In terms of outage management, the smart grid's network of sensors, meters, and actuators enables more sophisticated outage alerts. The system can transmit short signals to indicate power loss due to partial or complete outages. Additionally, AI's predictive capabilities and real-time data from smart meters allow operators to be notified of impending outages, and the system can differentiate between different types of outages (individual, street, or zonal).

Tokenomics

ANAPH token is the token that is used in the Anaphora AI ecosystem. ANAPH token is an AI utility token. It is an ERC-20 token built on Ethereum. The total supply is one billion two hundred million, 1,200,000,000. ANAPH token will be the sole currency for all transactions in the Anaphora AI ecosystem. This includes payments for services or solutions in the AIaaS marketplace.
30% of ANAPH tokens will be reserved for ecosystem support. These funds will be used to support any of the existing and future development of the Anaphora AI ecosystem. Funds will also be utilized to provide airdrops, bug bounties, referral rewards, early staking rewards, lottery events, and so on.

Roadmap

For more information

Website: https://www.anaphora.ai/
White paper: https://t.ly/Kry77
Twitter: https://twitter.com/anaphoraai
Telegram: https://t.me/anaphoraai
BTT Link: https://bitcointalk.org/index.php?action=profile;u=2247475
Author: abeexy