公开(公告)号：US11055639B1

公开(公告)日：2021-07-06

申请号：US17064280

申请日：2020-10-06

Applicant: SAS Institute Inc.

Inventor： Pelin Cay ,  Nabaruna Karmakar ,  Natalia Summerville ,  Varunraj Valsaraj ,  Antony Nicholas Cooper ,  Steven Joseph Gardner ,  Joshua David Griffin

IPC: G06N20/00 ,  G06N3/08 ,  G06Q10/04 ,  G06F9/54 ,  G06N3/02 ,  G06N20/20 ,  G06N20/10 ,  G06N3/04 ,  G06F9/50

Abstract: Manufacturing processes can be optimized using machine learning models. For example, a system can execute an optimization model to identify a recommended set of values for configurable settings of a manufacturing process associated with an object. The optimization model can determine the recommended set of values by implementing an iterative process using an objective function. Each iteration of the iterative process can include selecting a current set of candidate values for the configurable settings from within a current region of a search space defined by the optimization model; providing the current set of candidate values as input to a trained machine learning model that can predict a value for a target characteristic of the object or the manufacturing process based on the current set of candidate values; and identifying a next region of the search space to use in a next iteration of the iterative process based on the value.

公开(公告)号：US12271688B1

公开(公告)日：2025-04-08

申请号：US18966201

申请日：2024-12-03

Applicant: SAS Institute Inc.

Inventor： Julia Moreno ,  Kedar Shriram Prabhudesai ,  Fang Liang ,  Varunraj Valsaraj ,  Pelin Cay ,  Brett Alexander Vogelsang

IPC: G06F17/00 ,  G06F40/183 ,  G06F40/58 ,  G06F9/451

Abstract: A computer-implemented method includes receiving a natural language input including a natural language request for executing an analytical task and processing the natural language input by a language model, where the processing may include translating the natural language input to an analytical function call for calling an analytical function of a set of distinct analytical functions of an analytics computing server. Additionally, the computer-implemented method includes calling the analytical function at the analytics computing server using the analytical function call, receiving a technical output in response to calling the analytical function, and outputting a response to the natural language input that includes the technical analytical output.