公开(公告)号：US20190340324A1

公开(公告)日：2019-11-07

申请号：US15969841

申请日：2018-05-03

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： David WOLPERT ,  Erwin BEHNEN ,  Lawrence A. CLEVENGER ,  Patrick WATSON ,  Chih-Chao YANG ,  Timothy A. SCHELL

IPC: G06F17/50 ,  H01L27/02

Abstract: A technique relates to structuring a semiconductor device. First empty cells are placed against hierarchical boundaries of a macro block. Functional cells are added in the macro block. Remaining areas are filled with second empty cells in the macro block. Shape requirements are determined for the first empty cells and the second empty cells. The first and second empty cells are replaced with determined shape requirements.

公开(公告)号：US20200065697A1

公开(公告)日：2020-02-27

申请号：US16108324

申请日：2018-08-22

Applicant: International Business Machines Corporation

Inventor： Patrick WATSON ,  Maria CHANG ,  Jae-Wook AHN ,  Sharad Chandra SUNDARARAJAN ,  Prasenjit DEY

IPC: G06N20/00

Abstract: Techniques for assessing the proficiency of artificial intelligence agents and users in a given knowledge domain are described. A plurality of proficiency agents can be initialized with a plurality of proficiency scores, by performing a plurality of assessments between pairs of proficiency agents selected from the plurality of proficiency agents. A first client device associated with a first user is matched with a first proficiency agent of the plurality of proficiency agents, based on a first proficiency score associated with the first user and a second proficiency score of the plurality of proficiency scores corresponding to the first proficiency agent. Assessments results of an assessment performed between the first client device and the first proficiency agent are received, and a rating system update function is used to update the first proficiency score and the second proficiency score, based on the assessment results.

公开(公告)号：US20200020243A1

公开(公告)日：2020-01-16

申请号：US16031062

申请日：2018-07-10

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Tengfei MA ,  Patrick WATSON ,  Jae-Wook AHN ,  Maria CHANG ,  Aldis SIPOLINS

IPC: G09B7/02 ,  G06F17/30 ,  G06N99/00

Abstract: Systems, methods, and computer-readable media are described for determining a score for a target student answer using unlabeled data. The target answer is provided by a student to a question for which there is no ground-truth answer data. A set of student answers serves as a set of pseudo-reference answers and a classifier is used to score each answer based on each other answer. In this manner, each student answer serves as a pseudo-reference answer for each other student answer. A clustering approach can also be employed to cluster a set of student answers into clusters. The centroids of the clusters can then serve as the set of pseudo-reference answers. Clustering improves the robustness and efficiency of the score determined for a target student answer.