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LastUpdate Updated on 19/04/2026 [07:09:00]
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Solicitudes publicadas en los últimos 30 días / Applications published in the last 30 days
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METHOD FOR GENERATING DENTAL MODELS BASED ON AN OBJECTIVE FUNCTION

Publication No.:  EP4715752A2 25/03/2026
Applicant: 
3SHAPE AS [DK]
3Shape A/S
EP_4715752_PA

Absstract of: EP4715752A2

Disclosed is a computer-implemented method of generating a dental model based on an objective function output, comprising creating an objective function comprising at least one quality estimation function which trains at least one machine learning method that generates quality estimation output, and an objective function output is the output of the objective function providing a model as an input data to the objective function and generating model-related objective function output; and modifying the model based on the model-related objective function output to transform the model to a generated model, wherein the generated model is the dental model.

SYSTEM AND METHOD FOR TEACHING MACHINE LEARNING MODELS TO RECOGNIZE CONCEPTS IN MULTIMEDIA DOCUMENTS THROUGH NATURAL LANGUAGE INTERACTION AND MIXED-INITIATIVE LEARNING

Nº publicación: EP4713915A1 25/03/2026

Applicant:

EPIQ EDISCOVERY SOLUTIONS INC [US]
Epiq eDiscovery Solutions, Inc

AU_2024274930_A1

Absstract of: AU2024274930A1

A method and system for training machine learning models using natural language interactions as well as techniques utilizing machine learning models trained using natural language interactions. A method includes applying a language model to text of a set of natural language interactions in order to output a set of domain-specific language (DSL) data, wherein the set of natural language interactions is between a user and at least one other entity, wherein the set of natural language interactions indicates at least one user-defined concept; querying a knowledge base based on the set of DSL data in order to obtain at least one DSL query result; integrating the at least one DSL query result with a structured representation of the natural language interactions in order to create at least one contextualized DSL query result; and training the language model using the at least one contextualized DSL query result.

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