3 results about "Application programmer" patented technology

An architecture is disclosed for submission and recordation of application programmer interfaces (APIs) using non-fungible tokens (NFTs) inserted into a blockchain. The API-NFT pairings are validated by nodes of the network. The system automatically searches for and generate NFTs for APIs and / or intermediate layers on a computer network based on metadata associated with the API and a hash of the API / intermediate layer. The API-NFT pair binding ensures that developers / consumers are ingesting APIs that are secure and do not include malicious rules. Furthermore, performance monitoring of the API is performed using artificial intelligence (AI) and machine learning (ML), including long short term memory (LSTM) neural networks.

A method of wireless communication includes configuring a resource manager to schedule transmissions by interfacing with a radio access network (RAN) according to an application programmer's interface (API), wherein the RAN is providing wireless connectivity to a plurality of user devices, scheduling multiple first transmissions from the RAN to one or more target user devices by sending multiple first scheduling messages according to the API, indicating, for each first scheduling message, that the resource manager is requesting a feedback of status of a corresponding transmission grant scheduled according to the each first scheduling message according to a first feedback scheme. The operational points of the multiple transmissions are perturbed according to the feedback.

An architecture is disclosed for submission and recordation of application programmer interfaces (APIs) using non-fungible tokens (NFTs) inserted into a blockchain. The API-NFT pairings are validated by nodes of the network. The system automatically searches for and generate NFTs for APIs and / or intermediate layers on a computer network based on metadata associated with the API and a hash of the API / intermediate layer. The API-NFT pair binding ensures that developers / consumers are ingesting APIs that are secure and do not include malicious rules. Furthermore, performance monitoring of the API is performed using artificial intelligence (AI) and machine learning (ML), including long short term memory (LSTM) neural networks.