公开(公告)号：US20220138241A1

公开(公告)日：2022-05-05

申请号：US17514179

申请日：2021-10-29

申请人： Battelle Memorial Institute

发明人： Po-Hsu Chen ,  Jordan L. Vasko ,  Mitch R. Gauthier ,  Amy Leibrand

IPC分类号： G06F16/34 ,  G06F16/36 ,  G06F16/332 ,  G06F16/33 ,  G06F40/295

摘要： The present disclosure is directed to systems and methods of providing systems and methods of autonomously generating summary documents based, at least in part, on a plurality of queries provided by a system user. The systems and methods disclosed herein include processor circuitry to identify a plurality of information sources for a specific topic guided by an ontology with specific concepts and relations. The systems and methods disclosed herein also include processor circuitry to generate user-focused extractive text summarization from each of at least some of the plurality of identified information sources using a plurality of queries supplied by the user/researcher.

公开(公告)号：US20230337955A1

公开(公告)日：2023-10-26

申请号：US17927076

申请日：2021-05-24

申请人： BATTELLE MEMORIAL INSTITUTE

发明人： Laura L. Aume ,  Sam Colachis ,  Collin F. Dunlap ,  David A. Friedenberg ,  Jordan L. Vasko

IPC分类号： A61B5/276 ,  G06F3/01 ,  A61B5/293 ,  A61B5/00

CPC分类号： A61B5/276 ,  G06F3/015 ,  A61B5/293 ,  A61B5/7203 ,  A61B5/7221 ,  A61B5/7267 ,  A61B2562/04 ,  A61B2562/028 ,  A61B2562/0209

摘要： The present disclosure provides systems and processes for compensating disruptions in a brain-machine interface (BMI). Briefly described, the systems and processes detect and compensate for transient disruptions, reversible disruptions, irreversible compensable disruptions, or irreversible non-compensable disruptions.

公开(公告)号：US20230127031A1

公开(公告)日：2023-04-27

申请号：US18048531

申请日：2022-10-21

申请人： Battelle Memorial Institute

发明人： David A. Friedenberg ,  Adam V. Rich ,  Michael R. Riedl ,  Jordan L. Vasko ,  Sanjay M. Tamrakar

IPC分类号： G06N3/08 ,  G06N3/04 ,  G06F3/01

摘要： In an approach to neural interface systems, a system includes feature extraction circuitry to identify one or more features of one or more input signals; and neural processing circuitry. The neural processing circuitry is configured to: identify a first context of a plurality of contexts based on a first trigger event; decode the one or more features of the one or more input signals to determine a first task of a plurality of tasks in the first context; and responsive to detecting a second trigger event, change the first context to a second context of the plurality of contexts.