专利检索 ap:("Cerebri AI Inc.") AND inv:"Gabriel Mauricio Silberman" 第 1 页

1.

发明公开
COLLABORATIVE MULTI-PARTIES/MULTI-SOURCES MACHINE LEARNING FOR AFFINITY ASSESSMENT, PERFORMANCE SCORING, AND RECOMMENDATION MAKING 审中-公开

公开(公告)号：US20230206124A1

公开(公告)日：2023-06-29

申请号：US18085760

申请日：2022-12-21

申请人： Cerebri AI Inc.

发明人： Gabriel Mauricio Silberman , Alain Charles Briancon , Lee David Harper , Luke Philip Reding , David Alexander Curry , Jean Joseph Belanger , Michael Thomas Wegan , Thejas Narayana Prasad

IPC分类号： G06N20/00 , G06F21/57 , G06N5/04

CPC分类号： G06N20/00 , G06F21/577 , G06N5/04 , H04L67/10

摘要： Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

2.

发明授权
Collaborative multi-parties/multi-sources machine learning for affinity assessment, performance scoring, and recommendation making 有权

公开(公告)号：US11556846B2

公开(公告)日：2023-01-17

申请号：US16592317

申请日：2019-10-03

申请人： Cerebri AI Inc.

发明人： Gabriel Mauricio Silberman , Alain Charles Briancon , Lee David Harper , Luke Philip Reding , David Alexander Curry , Jean Joseph Belanger , Michael Thomas Wegan , Thejas Narayana Prasad

IPC分类号： G06F21/62 , G06N20/00 , G06F21/57 , G06N5/04 , H04L67/10

摘要： Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

3.

发明授权
Privacy and proprietary-information preserving collaborative multi-party machine learning 有权

公开(公告)号：US11386295B2

公开(公告)日：2022-07-12

申请号：US16151136

申请日：2018-10-03

申请人： Cerebri AI Inc.

发明人： Gabriel Mauricio Silberman , Alain Charles Briancon , Lee David Harper , Luke Philip Reding , David Alexander Curry , Jean Joseph Belanger , Michael Thomas Wegan , Thejas Narayana Prasad

IPC分类号： G06F15/16 , G06K9/62 , G06Q10/06 , G06F21/62 , G06N20/00

摘要： Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

4.

发明授权
Privacy and proprietary-information preserving collaborative multi-party machine learning 有权

公开(公告)号：US11893520B2

公开(公告)日：2024-02-06

申请号：US17834756

申请日：2022-06-07

申请人： Cerebri AI Inc.

发明人： Gabriel Mauricio Silberman , Alain Charles Briancon , Lee David Harper , Luke Philip Reding , David Alexander Curry , Jean Joseph Belanger , Michael Thomas Wegan , Thejas Narayana Prasad

IPC分类号： G06F15/16 , G06Q10/063 , G06F21/62 , G06N20/00 , G06F18/214

CPC分类号： G06Q10/063 , G06F18/2148 , G06F21/6218 , G06N20/00

摘要： Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

5.

发明申请
PRIVACY & PROPRIETARY-INFORMATION PRESERVING COLLABORATIVE MULTI-PARTY MACHINE LEARNING 有权

公开(公告)号：US20230080773A1

公开(公告)日：2023-03-16

申请号：US17834756

申请日：2022-06-07

申请人： Cerebri AI Inc.

发明人： Gabriel Mauricio Silberman , Alain Charles Briancon , Lee David Harper , Luke Philip Reding , David Alexander Curry , Jean Joseph Belanger , Michael Thomas Wegan , Thejas Narayana Prasad

IPC分类号： G06K9/62 , G06Q10/06 , G06F21/62 , G06N20/00

摘要： Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.