公开(公告)号：US12131126B2

公开(公告)日：2024-10-29

申请号：US18088577

申请日：2022-12-25

Applicant: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED

Inventor： William Tunstall-Pedoe ,  Finlay Curran ,  Harry Roscoe ,  Robert Heywood

IPC: G06F40/30 ,  G06F16/242 ,  G06F16/31 ,  G06F16/332 ,  G06F16/951 ,  G06F40/123 ,  G06F40/126 ,  G06F40/20 ,  G06F40/205 ,  G06F40/211 ,  G06F40/226 ,  G06F40/242 ,  G06F40/279 ,  G06F40/35 ,  G06F40/45 ,  G06F40/47 ,  G06F40/58 ,  G06N3/0442 ,  G06N3/0455 ,  G06N3/0499 ,  G06N3/08 ,  G06N5/02 ,  G06Q10/1053 ,  G06Q30/0251 ,  G06Q30/0601 ,  G10L15/16 ,  G10L15/18 ,  G10L15/22 ,  G10L15/26 ,  G10L25/63 ,  G16H10/60 ,  H04L51/02 ,  G06N3/091 ,  G10L15/08

CPC classification number: G06F40/35 ,  G06F16/243 ,  G06F16/322 ,  G06F16/3329 ,  G06F16/951 ,  G06F40/123 ,  G06F40/126 ,  G06F40/20 ,  G06F40/205 ,  G06F40/211 ,  G06F40/226 ,  G06F40/242 ,  G06F40/279 ,  G06F40/30 ,  G06F40/45 ,  G06F40/47 ,  G06F40/58 ,  G06N3/0442 ,  G06N3/0455 ,  G06N3/0499 ,  G06N3/08 ,  G06N5/02 ,  G06Q10/1053 ,  G06Q30/0255 ,  G06Q30/0257 ,  G06Q30/0631 ,  G10L15/16 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/26 ,  G10L25/63 ,  G16H10/60 ,  H04L51/02 ,  G06N3/091 ,  G10L2015/088

Abstract: A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

公开(公告)号：US20240356884A1

公开(公告)日：2024-10-24

申请号：US18476426

申请日：2023-09-28

Applicant: YAHOO ASSETS LLC

Inventor： Bassem BOUGUERRA ,  Kevin PATEL ,  Shashank KHANNA ,  Shiv Shankar SAHADEVAN

IPC: H04L51/42 ,  G06F40/20

CPC classification number: H04L51/42 ,  G06F40/20

Abstract: In some implementations, the techniques described herein relate to a method including: (i) identifying, by a processor, electronic files stored in association with a user account, (ii) analyzing, by a large language model (LLM) executed by the processor, the electronic files and identifying, based on the LLM analysis, at least one file that is a candidate for deletion, (iii) compiling, by the processor, an electronic message comprising an output indicating deletion of the at least one file, (iv) causing display, by the processor, the electronic message, (v) receiving, by the processor, user input related to the at least one file, (vi) analyzing, by the LLM executed by the processor, the user input, and (vii) performing, by the processor based on the analysis of the user input via the LLM, an action on the at least one file conforming to the user input.

公开(公告)号：US20240354772A1

公开(公告)日：2024-10-24

申请号：US18304971

申请日：2023-04-21

Applicant: Wells Fargo Bank, N.A.

Inventor： Kevin Portis ,  Dane Arnesen ,  Dion Song

IPC: G06Q30/015 ,  G06F40/20 ,  G06Q10/0631

CPC classification number: G06Q30/015 ,  G06F40/20 ,  G06Q10/06311

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for generating an insight report. An example method includes receiving a configured input data set and selecting an insight engine configuration based on a configuration parameter set. The method further includes generating a n-gram term set and performing a streamline n-gram routine on the n-gram term set. The method further includes generating an emerging topic set for an interest population and generating a per-topic metric set for each topic identifier included in the emerging topic set. The method further includes generating an insight report which comprises each per-topic metric set and providing the insight report.

公开(公告)号：US20240354498A1

公开(公告)日：2024-10-24

申请号：US18640026

申请日：2024-04-19

Applicant: ALLOFUS AI INC.

Inventor： Ganesh Prasad ,  Aditi Viswanathan ,  Christopher M. Tompkins

IPC: G06F40/20 ,  G06Q30/0601

CPC classification number: G06F40/20 ,  G06Q30/0631

Abstract: An AI-based content generation method and system for generating persona-based question-answers based on personas and diversity of answers, is disclosed. The AI-based content generation method includes: obtaining inputs from electronic devices of first users; identifying second users based on criteria associated with inputs, by an AI model; generating information associated with the second users based on criteria associated with the inputs; generating confidence scores for the information associated with the second users based on attributes of the second users using the AI model; ranking the second users based on the generated confidence scores using the AI model; generating personas associated with optimized second user based on ranking of the second users using the AI model; automatically generating subsequent questions for the first users; and providing an output of generated personas associated with the optimized second user, with the persona-based answers, and the subsequent questions, to the first users.

公开(公告)号：US12124810B2

公开(公告)日：2024-10-22

申请号：US17452977

申请日：2021-10-29

Applicant: Beijing Xiaomi Mobile Software Co., Ltd. ,  Beijing Xiaomi Pinecone Electronics Co., Ltd.

Inventor： Shiqi Cui ,  Li Deng ,  Bin Qin

IPC: G06F40/40 ,  G06F16/242 ,  G06F40/20 ,  G06F40/274 ,  G06F40/279 ,  G06F40/30 ,  G06F40/35

CPC classification number: G06F40/40 ,  G06F16/243 ,  G06F40/20 ,  G06F40/274 ,  G06F40/279 ,  G06F40/30 ,  G06F40/35 ,  G06F16/2425

Abstract: A text adjustment method includes: obtaining a to-be-processed text; determining whether to adjust the to-be-processed text according to the to-be-processed text and a context text of the to-be-processed text; in response to determining to adjust the to-be-processed text, determining adjustment character information and adjustment position information of the to-be-processed text according to the context text; and determining an adjusted to-be-processed text according to the adjustment character information and the adjustment position information.

公开(公告)号：US20240346295A1

公开(公告)日：2024-10-17

申请号：US18654691

申请日：2024-05-03

Applicant: Microsoft Technology Licensing, LLC

Inventor： Weizhu CHEN ,  Pengcheng HE ,  Xiaodong LIU ,  Jianfeng GAO

IPC: G06N3/047 ,  G06F40/20 ,  G06N3/045 ,  G06N3/088

CPC classification number: G06N3/047 ,  G06F40/20 ,  G06N3/045 ,  G06N3/088

Abstract: This document relates to architectures and training procedures for multi-task machine learning models, such as neural networks. One example method involves providing a multi-task machine learning model having one or more shared layers and two or more task-specific layers. The method can also involve performing a pretraining stage on the one or more shared layers using one or more unsupervised prediction tasks. The method can also involve performing a tuning stage on the one or more shared layers and the two or more task-specific layers using respective task-specific objectives

公开(公告)号：US12118320B2

公开(公告)日：2024-10-15

申请号：US18140136

申请日：2023-04-27

Applicant: Theai, Inc.

Inventor： Ilya Gelfenbeyn ,  Mikhail Ermolenko ,  Kylan Gibbs

IPC: G06F40/35 ,  G06F40/20

CPC classification number: G06F40/35 ,  G06F40/20

Abstract: Systems and methods for conducting communications between a user and an Artificial Intelligence (AI) character model are provided. An example method includes determining a context of a dialog between the AI character model and the user, the context being determined based on a data stream received from a client-side computing device associated with the user; receiving a message of the user in the dialog; and generating, based on the context and the message, an input to a language model configured to predict a response to the message; providing the input to the language model to obtain the response; and transmitting the response to the client-side computing device, where the client-side computing device presents the response to the user. The input to the language model includes the message expanded by a keyword associated with the context. The context includes an intent of the user and an emotional state of the user.

公开(公告)号：US20240338520A1

公开(公告)日：2024-10-10

申请号：US18628361

申请日：2024-04-05

Applicant: THE TORONTO-DOMINION BANK

Inventor： MATTHEW WALTER MISLER ,  DEVON DAVID JORLETT ,  BLAKE ANDREW DUDGEON

IPC: G06F40/20 ,  G06F3/0482 ,  G06F40/174

CPC classification number: G06F40/20 ,  G06F3/0482 ,  G06F40/174

Abstract: In one or more aspects, there is provided a machine learning system and method for generating recommended electronic actions on user interfaces of requesting user interface query devices. In one or more aspects there is provided a machine learning based engine and device to process multiple modes of input user interface data utilizing natural language processing and machine learning models for processing different modes and determining intelligent computerized responses and digital actions based on the machine learning processing.

公开(公告)号：US20240338232A1

公开(公告)日：2024-10-10

申请号：US18625032

申请日：2024-04-02

Applicant: Palantir Technologies Inc.

Inventor： Martin Copes ,  Mohamed Zaki Trache ,  Christopher Jeganathan

IPC: G06F9/451 ,  G06F40/20

CPC classification number: G06F9/451 ,  G06F40/20

Abstract: A data orchestration system can be used to respond to natural language prompts (e.g., user submitted prompts) where the response involves a data processing workflow being executed using one or more data processing services (e.g., microservices of a data processing platform or software). This can provide for execution of data processing workflows (e.g., complex workflows) without a user needing to specify the particular data processing services that are included in the data processing workflows. This can cause new functionality to be available to a user (e.g., to a user who lacks the technical skillset to specify the relevant data processing services without use of the systems and methods disclosed herein), and/or can dramatically reduce the time required to orchestrate the data processing services that are included in the data processing workflows.

公开(公告)号：US12112837B2

公开(公告)日：2024-10-08

申请号：US17364404

申请日：2021-06-30

Applicant: Ilango Ramanujam

Inventor： Ilango Ramanujam

IPC: G16H10/40 ,  G06F40/20 ,  G06N20/00 ,  G16H10/20 ,  G16H40/20

CPC classification number: G16H10/20 ,  G06F40/20 ,  G06N20/00 ,  G16H40/20

Abstract: A method and a clinical data standards (CDS) automated system are provided for automating clinical data standards and generating study data tabulation model (SDTM) artifacts required for a regulatory submission process using a machine learning model and a natural language processing (NLP) engine with minimal user intervention. The CDS automated system extracts metadata from multiple raw datasets automatically using NLP and feeds the extracted metadata into the machine learning model; predicts automatic case report form (CRF) annotations on the extracted metadata and records new learnings onto the CDS automated system; maps one or more raw datasets against a target SDTM variable; generates an SDTM statistical analysis system (SAS) code, an SDTM specification, and one or more SDTM datasets; generates a define package; validates the generated define package and the SDTM artifacts generated throughout the entire cycle; and generates validation reports in real time.