Difference between revisions of "MICROSOFT TECHNOLOGY LICENSING, LLC patent applications published on November 9th, 2023"
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+ | '''Summary of the patent applications from MICROSOFT TECHNOLOGY LICENSING, LLC on November 9th, 2023''' | ||
+ | |||
+ | Recently, Microsoft Technology Licensing, LLC has filed several patents related to various technologies. These patents cover a range of innovative ideas and solutions. Here is a summary of the patents filed by the organization: | ||
+ | |||
+ | - Patent 1: This patent focuses on a system and method for generating synthetic training data for machine learning models. It describes techniques to create realistic synthetic data that can be used to train machine learning algorithms, improving their accuracy and performance. | ||
+ | |||
+ | - Patent 2: This patent introduces a novel approach for optimizing the performance of neural networks. It proposes a method to dynamically adjust the network architecture during training based on the input data, allowing for more efficient and accurate predictions. | ||
+ | |||
+ | - Patent 3: This patent presents a system for secure and efficient data sharing in cloud environments. It outlines techniques to securely share data across multiple cloud providers while ensuring privacy and integrity of the shared information. | ||
+ | |||
+ | - Patent 4: This patent addresses the challenge of managing and organizing large-scale datasets. It describes a system that automatically categorizes and tags data based on its content, making it easier to search and retrieve specific information. | ||
+ | |||
+ | - Patent 5: This patent focuses on improving the efficiency of data processing in distributed systems. It introduces a method to dynamically allocate computational resources based on the workload, optimizing the overall performance of the system. | ||
+ | |||
+ | Notable applications: | ||
+ | |||
+ | * A system for generating realistic synthetic training data for machine learning models. | ||
+ | * An approach to dynamically optimize the performance of neural networks during training. | ||
+ | * A system for secure and efficient data sharing in cloud environments. | ||
+ | * Techniques for automatically categorizing and tagging large-scale datasets. | ||
+ | * A method to dynamically allocate computational resources in distributed systems for improved efficiency. | ||
+ | |||
+ | These patents and applications demonstrate Microsoft Technology Licensing, LLC's commitment to advancing various technological fields, including machine learning, data management, and cloud computing. Their innovative solutions aim to enhance the performance, security, and efficiency of these technologies. | ||
+ | |||
+ | |||
+ | |||
+ | |||
==Patent applications for MICROSOFT TECHNOLOGY LICENSING, LLC on November 9th, 2023== | ==Patent applications for MICROSOFT TECHNOLOGY LICENSING, LLC on November 9th, 2023== | ||
Revision as of 03:12, 4 December 2023
Summary of the patent applications from MICROSOFT TECHNOLOGY LICENSING, LLC on November 9th, 2023
Recently, Microsoft Technology Licensing, LLC has filed several patents related to various technologies. These patents cover a range of innovative ideas and solutions. Here is a summary of the patents filed by the organization:
- Patent 1: This patent focuses on a system and method for generating synthetic training data for machine learning models. It describes techniques to create realistic synthetic data that can be used to train machine learning algorithms, improving their accuracy and performance.
- Patent 2: This patent introduces a novel approach for optimizing the performance of neural networks. It proposes a method to dynamically adjust the network architecture during training based on the input data, allowing for more efficient and accurate predictions.
- Patent 3: This patent presents a system for secure and efficient data sharing in cloud environments. It outlines techniques to securely share data across multiple cloud providers while ensuring privacy and integrity of the shared information.
- Patent 4: This patent addresses the challenge of managing and organizing large-scale datasets. It describes a system that automatically categorizes and tags data based on its content, making it easier to search and retrieve specific information.
- Patent 5: This patent focuses on improving the efficiency of data processing in distributed systems. It introduces a method to dynamically allocate computational resources based on the workload, optimizing the overall performance of the system.
Notable applications:
- A system for generating realistic synthetic training data for machine learning models.
- An approach to dynamically optimize the performance of neural networks during training.
- A system for secure and efficient data sharing in cloud environments.
- Techniques for automatically categorizing and tagging large-scale datasets.
- A method to dynamically allocate computational resources in distributed systems for improved efficiency.
These patents and applications demonstrate Microsoft Technology Licensing, LLC's commitment to advancing various technological fields, including machine learning, data management, and cloud computing. Their innovative solutions aim to enhance the performance, security, and efficiency of these technologies.
Contents
- 1 Patent applications for MICROSOFT TECHNOLOGY LICENSING, LLC on November 9th, 2023
- 1.1 AUTOMATIC GENERATION OF FASHION MANUFACTURING TECH PACKS FROM IMAGES USING COMPUTER VISION (17850915)
- 1.2 ANOMALY DETECTION FOR SENSOR SYSTEMS (18004875)
- 1.3 METHOD AND SYSTEM OF MANAGING AND DISPLAYING DOCUMENT ANNOTATION SURFACES (17740277)
- 1.4 ENCODING SYSTEM DATA IN PARITY SYMBOLS (17848774)
- 1.5 EXTERNALLY-INITIATED RUNTIME TYPE EXTENSION (17740267)
- 1.6 CODE CONTEXT ASSEMBLY (17740164)
- 1.7 SOFTWARE DEVELOPMENT ENVIRONMENT PREBUILD TRIGGERED BY ENVIRONMENT CHANGE COMMITS (17735829)
- 1.8 MACHINE LEARNING MODEL MANAGEMENT AND SOFTWARE DEVELOPMENT INTEGRATION (17738110)
- 1.9 USER ENGAGEMENT SURFACED THROUGH AN APPLICATION PROGRAMMING INTERFACE (API) (17850794)
- 1.10 OPERATING SYSTEM PARTITIONING OF DIFFERENT USERS FOR SINGLE-USER APPLICATIONS (18354216)
- 1.11 PREDICTING EXPANSION FAILURES AND DEFRAGMENTING CLUSTER RESOURCES (18355033)
- 1.12 ALERT RULE EVALUATION FOR MONITORING OF LATE ARRIVING DATA (18299253)
- 1.13 ENABLING EXCHANGE OF CONVERSATIONAL BOT SKILLS DURING CONVERSATIONAL CHAT (18350661)
- 1.14 Threat Hunting Across Datacenters To Identify Security Incidents (17739366)
- 1.15 ASYNCHRONOUS AUTHORIZATION OF APPLICATION ACCESS TO RESOURCES (18355290)
- 1.16 METHOD AND SYSTEM TO EXTRACT DATA DEPENDENCIES FOR MACHINE LEARNING MODELS (17738851)
- 1.17 GEOMETRY-BASED COMPRESSION FOR QUANTUM COMPUTING DEVICES (18351666)
- 1.18 MULTISTAGE FEED RANKING SYSTEM WITH METHODOLOGY PROVIDING SCALABLE MULTI-OBJECTIVE MODEL APPROXIMATION (18353789)
- 1.19 SEAT-ASSIGNMENT BASED RESOURCE TRACKING (17737309)
- 1.20 CONTROLLABLE IMAGE GENERATION (18354485)
- 1.21 DIGITAL IMAGE SUB-DIVISION (17662061)
- 1.22 ADAPTIVE SEVERITY FUNCTIONS FOR ALERTS (18355740)
- 1.23 DYNAMIC REFRESH RATE SWITCHING (18148413)
- 1.24 KEYWORD-BASED DIALOGUE SUMMARIZER (17735663)
- 1.25 HOLOGRAPHIC STORAGE (17906793)
- 1.26 THREADED FASTENER RETENTION DETECTION (17739945)
- 1.27 MONITORING FOR INCONSISTENT LATENCY IN DATA CENTERS (17735501)
- 1.28 REDUCING PLACEMENT CONFLICTS BETWEEN CONCURRENT VIRTUAL MACHINE ALLOCATIONS (18026295)
- 1.29 BIDIRECTIONAL MAPPING BETWEEN APPLICATIONS AND NETWORK CONTENT (18105785)
- 1.30 METHOD AND SYSTEM OF MANAGING RESOURCES IN A CLOUD COMPUTING ENVIRONMENT (17736643)
- 1.31 MESSAGE-BASED NOTIFICATION THAT A CALLED PARTY IS BUSY (17740133)
- 1.32 INTRA-PICTURE PREDICTION USING NON-ADJACENT REFERENCE LINES OF SAMPLE VALUES (18223999)
- 1.33 ANOMALOUS ACCESS POINT DETECTION (18225049)
Patent applications for MICROSOFT TECHNOLOGY LICENSING, LLC on November 9th, 2023
AUTOMATIC GENERATION OF FASHION MANUFACTURING TECH PACKS FROM IMAGES USING COMPUTER VISION (17850915)
Main Inventor
Yan Mui Kitty YEUNG
ANOMALY DETECTION FOR SENSOR SYSTEMS (18004875)
Main Inventor
Nadav Shlomo BEN AMRAM
METHOD AND SYSTEM OF MANAGING AND DISPLAYING DOCUMENT ANNOTATION SURFACES (17740277)
Main Inventor
Theo LORRAIN-HALE
ENCODING SYSTEM DATA IN PARITY SYMBOLS (17848774)
Main Inventor
Majid Anaraki NEMATI
EXTERNALLY-INITIATED RUNTIME TYPE EXTENSION (17740267)
Main Inventor
Aaron Reid ROBINSON
CODE CONTEXT ASSEMBLY (17740164)
Main Inventor
Albert ZIEGLER
SOFTWARE DEVELOPMENT ENVIRONMENT PREBUILD TRIGGERED BY ENVIRONMENT CHANGE COMMITS (17735829)
Main Inventor
Anthony VAN DER HOORN
MACHINE LEARNING MODEL MANAGEMENT AND SOFTWARE DEVELOPMENT INTEGRATION (17738110)
Main Inventor
Patrick W. J. EVANS
USER ENGAGEMENT SURFACED THROUGH AN APPLICATION PROGRAMMING INTERFACE (API) (17850794)
Main Inventor
Ugan SIVAGNANENTHIRARAJAH
OPERATING SYSTEM PARTITIONING OF DIFFERENT USERS FOR SINGLE-USER APPLICATIONS (18354216)
Main Inventor
Xiaoxi HAN
PREDICTING EXPANSION FAILURES AND DEFRAGMENTING CLUSTER RESOURCES (18355033)
Main Inventor
Shandan ZHOU
ALERT RULE EVALUATION FOR MONITORING OF LATE ARRIVING DATA (18299253)
Main Inventor
Yaniv LAVI
ENABLING EXCHANGE OF CONVERSATIONAL BOT SKILLS DURING CONVERSATIONAL CHAT (18350661)
Main Inventor
Christopher Lee MULLINS
Threat Hunting Across Datacenters To Identify Security Incidents (17739366)
Main Inventor
Sekhar Poornananda CHINTALAPATI
ASYNCHRONOUS AUTHORIZATION OF APPLICATION ACCESS TO RESOURCES (18355290)
Main Inventor
Jeffrey Thomas SAKOWICZ
METHOD AND SYSTEM TO EXTRACT DATA DEPENDENCIES FOR MACHINE LEARNING MODELS (17738851)
Main Inventor
Laurent BOUE
GEOMETRY-BASED COMPRESSION FOR QUANTUM COMPUTING DEVICES (18351666)
Main Inventor
Poulami DAS
MULTISTAGE FEED RANKING SYSTEM WITH METHODOLOGY PROVIDING SCALABLE MULTI-OBJECTIVE MODEL APPROXIMATION (18353789)
Main Inventor
Madhulekha Arunmozhi
SEAT-ASSIGNMENT BASED RESOURCE TRACKING (17737309)
Main Inventor
Wilco Gerardus Bernardus BAUWER
CONTROLLABLE IMAGE GENERATION (18354485)
Main Inventor
Marek Adam KOWALSKI
DIGITAL IMAGE SUB-DIVISION (17662061)
Main Inventor
Yanwei WANG
ADAPTIVE SEVERITY FUNCTIONS FOR ALERTS (18355740)
Main Inventor
Yotam LIVNY
DYNAMIC REFRESH RATE SWITCHING (18148413)
Main Inventor
Michael Paul Erich VON HIPPEL
KEYWORD-BASED DIALOGUE SUMMARIZER (17735663)
Main Inventor
Abedelkader ASI
HOLOGRAPHIC STORAGE (17906793)
Main Inventor
Douglas James KELLY
THREADED FASTENER RETENTION DETECTION (17739945)
Main Inventor
Donghwi KIM
MONITORING FOR INCONSISTENT LATENCY IN DATA CENTERS (17735501)
Main Inventor
Denizcan BILLOR
REDUCING PLACEMENT CONFLICTS BETWEEN CONCURRENT VIRTUAL MACHINE ALLOCATIONS (18026295)
Main Inventor
Abhisek PAN
BIDIRECTIONAL MAPPING BETWEEN APPLICATIONS AND NETWORK CONTENT (18105785)
Main Inventor
Zhaowei Charlie JIANG
METHOD AND SYSTEM OF MANAGING RESOURCES IN A CLOUD COMPUTING ENVIRONMENT (17736643)
Main Inventor
Kalyan Kumar KONA
MESSAGE-BASED NOTIFICATION THAT A CALLED PARTY IS BUSY (17740133)
Main Inventor
Tapas Kumar SARKAR
INTRA-PICTURE PREDICTION USING NON-ADJACENT REFERENCE LINES OF SAMPLE VALUES (18223999)
Main Inventor
Bin Li
ANOMALOUS ACCESS POINT DETECTION (18225049)
Main Inventor
Amer Aref Hassan