Entefy Inc. (20240346495). DECENTRALIZED BLOCKCHAIN FOR ARTIFICIAL INTELLIGENCE-ENABLED MULTI-PARTY SKILLS EXCHANGES OVER A NETWORK simplified abstract

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DECENTRALIZED BLOCKCHAIN FOR ARTIFICIAL INTELLIGENCE-ENABLED MULTI-PARTY SKILLS EXCHANGES OVER A NETWORK

Organization Name

Entefy Inc.

Inventor(s)

Alston Ghafourifar of Los Altos Hills CA (US)

Mehdi Ghafourifar of Los Altos Hills CA (US)

DECENTRALIZED BLOCKCHAIN FOR ARTIFICIAL INTELLIGENCE-ENABLED MULTI-PARTY SKILLS EXCHANGES OVER A NETWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346495 titled 'DECENTRALIZED BLOCKCHAIN FOR ARTIFICIAL INTELLIGENCE-ENABLED MULTI-PARTY SKILLS EXCHANGES OVER A NETWORK

Simplified Explanation: The patent application describes an improved decentralized network for AI-enabled skills exchange between intelligent personal assistants, optimizing the performance of computational tasks or services.

  • The network allows IPAs to exchange skills efficiently, with one IPA paying another to perform a skill more efficiently.
  • A skills registry is published with benchmark analyses and costs for skills offered by nodes on the network.
  • A transaction ledger is maintained using blockchain technology to record all transactions in a tamper-proof and auditable manner.
  • AI-enabled nodes in the system can learn to scale, replicate, and transact autonomously over time.

Key Features and Innovation:

  • Decentralized network for AI-enabled skills exchange
  • Efficient performance of computational tasks or services
  • Skills registry with benchmark analyses and costs
  • Transaction ledger using blockchain technology
  • Autonomous learning and transaction capabilities for AI-enabled nodes

Potential Applications: The technology can be applied in various industries such as finance, healthcare, and e-commerce for efficient task performance and skills exchange.

Problems Solved: The technology addresses the need for optimized and efficient exchange of skills between intelligent personal assistants in a decentralized manner.

Benefits:

  • Improved efficiency in performing computational tasks or services
  • Transparent and auditable record of transactions
  • Autonomous learning and transaction capabilities for AI-enabled nodes

Commercial Applications: Optimizing task performance and skills exchange in various industries, leading to increased efficiency and cost savings.

Prior Art: Further research can be conducted in the areas of decentralized networks, AI-enabled skills exchange, and blockchain technology to explore existing technologies related to this innovation.

Frequently Updated Research: Stay updated on advancements in decentralized networks, AI technology, and blockchain applications to enhance the efficiency and capabilities of the described system.

Questions about AI-Enabled Skills Exchange: 1. How does the decentralized network ensure efficient skills exchange between intelligent personal assistants? 2. What are the potential implications of autonomous learning and transaction capabilities for AI-enabled nodes in the system?


Original Abstract Submitted

an improved decentralized, blockchain-driven network for artificial intelligence (ai)-enabled skills exchange between intelligent personal assistants (ipas) in a network is disclosed that is configured to perform computational tasks or services (also referred to herein as “skills”) in an optimally-efficient fashion. in some embodiments, this may comprise a first ipa paying an agreed cost to a second ipa to perform a particular skill in a more optimally-efficient fashion. in some embodiments, a skills registry is published, comprising benchmark analyses and costs for the skills offered by the various nodes on the skills exchange network. in other embodiments, a transaction ledger is maintained that provides a record of all transactions performed across the network in a tamper-proof and auditable fashion, e.g., via the use of blockchain technology. over time, the ai-enabled nodes in the system may learn to scale, replicate, and transact with each other in an optimized—and fully autonomous—fashion.