View source for Coinbase, Inc. (20240257255). SYSTEMS AND METHODS FOR PREDICTING CRYPTOGRAPHIC ASSET DISTRIBUTIONS simplified abstract

=SYSTEMS AND METHODS FOR PREDICTING CRYPTOGRAPHIC ASSET DISTRIBUTIONS=


==Organization Name==

[[:Category:Coinbase, Inc.|Coinbase, Inc.]]


[[Category:Coinbase, Inc.]]

==Inventor(s)==

[[:Category:Rajarshi Gupta of Los Altos CA (US)|Rajarshi Gupta of Los Altos CA (US)]][[Category:Rajarshi Gupta of Los Altos CA (US)]]

[[:Category:Bhaskar Krishnamachari of Los Angeles CA (US)|Bhaskar Krishnamachari of Los Angeles CA (US)]][[Category:Bhaskar Krishnamachari of Los Angeles CA (US)]]

==SYSTEMS AND METHODS FOR PREDICTING CRYPTOGRAPHIC ASSET DISTRIBUTIONS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240257255 titled 'SYSTEMS AND METHODS FOR PREDICTING CRYPTOGRAPHIC ASSET DISTRIBUTIONS

The abstract describes methods and systems for predicting cryptographic asset distributions using artificial intelligence and/or machine learning models based on time-series data of a past period.

* The system receives a dataset of time-series data related to a cryptographic asset used to secure a blockchain.
* AI/ML models analyze the dataset to predict future cryptographic asset distributions based on past data.
* The system also considers user characteristics to generate recommendations for securing the blockchain.

Potential Applications:
- Financial forecasting in the cryptocurrency market
- Risk management in blockchain transactions
- Personalized security recommendations for blockchain users

Problems Solved:
- Predicting future cryptographic asset distributions accurately
- Providing tailored security recommendations based on user characteristics

Benefits:
- Improved decision-making in cryptocurrency investments
- Enhanced blockchain security measures
- Personalized user experience in blockchain transactions

Commercial Applications:
Title: "AI-Powered Cryptocurrency Asset Distribution Prediction System"
This technology can be used by cryptocurrency exchanges, financial institutions, and individual investors to make informed decisions and enhance security in blockchain transactions.

Prior Art:
Readers can explore prior research on AI/ML models in financial forecasting and blockchain security to understand the evolution of this technology.

Frequently Updated Research:
Stay updated on advancements in AI/ML models for predicting cryptocurrency trends and enhancing blockchain security measures.

Questions about AI-Powered Cryptocurrency Asset Distribution Prediction System:
1. How does this technology improve the accuracy of predicting future cryptocurrency trends?
2. What are the key factors considered in generating personalized security recommendations for blockchain users?


==Original Abstract Submitted==

methods and systems are described herein for predicting cryptographic asset distributions for a future period of time using artificial intelligence and/or machine learning (ai/ml) models. a system may receive a first dataset comprising time-series data over a past period of time. the cryptographic asset may be used to secure a blockchain. the system may determine, using ai/ml models with the first dataset, a prediction of the cryptographic asset distributions for the future period of time, wherein a cryptographic asset distribution occurs in response to a respective cryptographic asset being used to secure a respective blockchain. the system may also determine characteristics about a user and generate a recommendation to secure the blockchain based on the prediction and the one or more characteristics about the user.



[[Category:G06Q40/06]]
[[Category:CPC_G06Q40/06]]