ALEXANDRIA, Va., Sept. 1 -- United States Patent no. 12,725,081, issued on Sept. 1, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Causal learning model" was invented by Samuel Chung Hoffman (New York), Kahini Wadhawan (Delhi, India), Payel Das (Yorktown Heights, N.Y.), Prasanna Sattigeri (Acton, Mass.) and Karthikeyan Shanmugam (Bengaluru, India).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques are provided for causal learning and prediction. In one embodiment, the techniques involve determining a first attribute value based on an output of a generative model trained on a first data set, generating a second attribute value based on a change of a latent space dimension of the ...