Patent Applications by Microsoft Technology Licensing LLC on 14th August 2025

Microsoft Technology Licensing LLC: 26 patent applications

Microsoft Technology Licensing LLC has applied for patents in the areas of G06F40/40 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models, 3), G06N20/00 (Machine learning, 3), G06F16/24542 ({Plan optimisation}, 2), G06F16/243 ({Natural language query formulation}, 2), G06F40/30 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models, 2)

Patent Applications by Microsoft Technology Licensing LLC

20250258530. PROVIDING MEDIA POWER TELEMETRY FOR VIRTUAL MACHINES (VMs) IN PROCESSOR-BASED DEVICES

Abstract: Providing media power telemetry for virtual machines (VMs) in processor-based devices is disclosed herein. In one exemplary embodiment, a processor-based device provides a controller circuit comprising a power telemetry circuit, and a power management processor. The power telemetry circuit is config...

20250258711. HARDWARE ACCELERATION FOR FUNCTION PROCESSING

Abstract: A function processing service may receive a request to execute source code. The source code may include instructions to perform a function. The function processing service may determine whether at least one hardware acceleration condition has been satisfied for the function. If at least one hardware...

20250258811. SCHEMA SNAPSHOT ISOLATION ACCESS IN A RELATIONAL DATABASE

Abstract: Relational database systems are disclosed that are enabled to operate with versioned metadata. The relational database system includes a lock manager, a transaction manager and a version aware metadata storage and cache configured to store to store and manage versions of metadata, to determine which...

20250258814. ADAPTING EMBEDDINGS FOR CUSTOM RETRIEVAL

Abstract: A data processing system implements receiving, via a user interface of a client device, a query to a large language model (LLM) working in conjunction with an embedding model comprising a corpus of artifacts. The system further implements converting the query into a query embedding, transforming the...

20250258823. DYNAMIC QUERY PLANNING AND EXECUTION

Abstract: Embodiments of the disclosed technologies include receiving a first query including at least one first query term and configuring at least one prompt to cause a large language model to translate the at least one first query term into a set of functions that can be executed to obtain at least one sec...

20250258862. SUGGESTED QUERIES FOR TRANSCRIPT SEARCH

Abstract: Systems and methods for surfacing natural language queries from one or more transcripts. An example method may include converting received audio to text, through automated speech recognition, to form a transcript of the audio, wherein the transcript includes text of the audio and identifications of ...

20250258996. SYSTEM FOR ENHANCED INK GESTURE SUPPORT

Abstract: Systems, methods, and software are disclosed herein for automating the editing of documents based on ink gestures via an LLM integration in various implementations. In an implementation, a computing device receives an ink gesture made by a user with respect to a document displayed in the user interf...

20250259014. Customizing Information Using a Local Language Model Based on a Profile

Abstract: A technique uses a local language model, implemented by a local computing device, to customize original information based on a profile of a local entity (e.g., a user). A profile-generating system produces the profile by first using plural machine-trained local encoders to convert a set of content i...

20250259020. IMPLICIT PROMPT REWRIWTING

Abstract: Systems and methods for generating an optimized prompt using a language model are disclosed. A query is received at an application. A description is generated for the query based on information extracted from the query. The description is then used to identify a top-k most similar prompt from a prom...

20250259037. GRAPH NEURAL NETWORK TRAINING USING USER SKILLS

Abstract: Methods, systems, and apparatuses include training a graph neural network. Content items are received for a user of an online system, the content items including skills. An input graph is generated using the content items, the input graph including nodes and edges linking the nodes. The input graph ...

20250259067. COMPRESSING A LARGE LANGUAGE MODEL THAT INCLUDES LOW RANK ADAPTION MODULES

Abstract: Technologies related to compressing a large language model (LLM) that has been fine-tuned using low rank adaption are described. Minimally removable structures in the LLM are identified, and node groups are constructed based upon the identified minimally removable structures. Progressive structured ...

20250259091. METHODS FOR GENERATING A POLYNOMIAL HISTORY STATE

Abstract: A method for a quantum computer is presented. The method comprises receiving a target matrix comprising only real eigenvalues and block encoding the target matrix. A polynomial approximation is precomputed for a function to be applied to the target matrix. Coefficients are selected for a generating ...

20250259095. Fine-Grained Selective Quantization to Maximize Hardware Resource Utilization

Abstract: Techniques for performing fine-grained mixed precision quantization for an ML model are disclosed. A quantizable operation is identified. This quantizable operation is partitioned into multiple sub-operations having multiple different precision data formats. One or more kernels are generated. These ...

20250259096. DOMAIN-SPECIFIC WORD EMBEDDING MODEL

Abstract: Despite the usefulness of foundation models, they often return irrelevant or inaccurate responses to domain-specific queries, which often include technical jargon and patterns that are unique to the domain. Training data for specialized domains is not readily accessible or frequently discussed in on...

20250259100. PREDICTING IMPLICIT DEVICE PARAMETERS FOR QUANTUM DEVICES USING TRAINED MACHINE LEARNING MODELS

Abstract: Methods and systems for predicting the values of implicit device parameters for quantum devices are described. An example computer-implemented method for predicting values of implicit device parameters for a quantum device having nanowires is described. The computer-implemented method includes train...