ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,480, issued on March 17, was assigned to Nasdaq Inc. (New York).
"Systems and methods to generate data messages indicating a probability of execution for data transaction objects using machine learning" was invented by Keon Shik Kim (Cambridge, Mass.), Josep Puig Ruiz (Boston) and Douglas Hamilton (Boston).
According to the abstract* released by the U.S. Patent & Trademark Office: "A computer system includes a transceiver that receives over a data communications network different types of input data and multiple data transaction objects from multiple source nodes. A pre-processor processes the different types of input data and the data transaction objects to generate an input da...