Alerta

METHOD AND APPARATUS FOR TRANSMITTING AND RECEIVING SIGNAL IN WIRELESS COMMUNICATION SYSTEM

Resumen de: EP4598100A1

A method performed by a device supporting artificial intelligence/machine learning (AI/ML) in a wireless communication system, according to at least one of embodiments disclosed in the present specification, comprises: receiving a configuration for an AI/ML model from a network; performing monitoring on performance of the AI/ML model on the basis of outputs from the AI/ML model; and performing AI/ML model management of maintaining the AI/ML model or at least partially changing the AI/ML model on the basis of the monitoring of the performance of the AI/ML model, wherein the monitoring of the performance of the AI/ML model may comprise first monitoring for monitoring performance of one or two or more intermediate outputs obtained before a final output from the AI/ML model, and second monitoring for monitoring performance of the final output obtained on the basis of the one or two or more intermediate outputs.

SYSTEMS AND METHODS OF DETERMINING DYNAMIC TIMERS USING MACHINE LEARNING

Resumen de: WO2024073382A1

Dynamic timers are determined using machine learning. The timers are used to control the amount of time that new data transaction requests wait before being processed by a data transaction processing system. The timers are adjusted based on changing conditions within the data transaction processing system. The dynamic timers may be determined using machine learning inference based on feature values calculated as a result of the changing conditions.

CLOSED-LOOP OPTIMIZATION OF GENERAL REACTION CONDITIONS FOR HETEROARYL SUZUKI-MIYAURA COUPLING

Resumen de: MX2025004899A

Disclosed are systems and methods for rapidly generating general reaction conditions using a closed-loop workflow leveraging matrix down-selection, machine learning, and robotic experimentation. In certain aspects, provided is a method, comprising: selecting a reaction pair comprising a first molecule and a second molecule; wherein the first molecule is selected from a first matrix and the second molecule is selected from a second matrix; selecting one or more reaction conditions for the reaction pair, the selection based on historic use of the one or more reaction conditions and a structural and functional diversity of the selected reaction pair; automatically performing, by a robotic system, an initial round of reactions between the selected reaction pair under the selected one or more reaction conditions.

User interface for materials and material properties prediction using a machine learning model

Nº publicación: IL321450A 01/08/2025

Solicitante:

DOW GLOBAL TECH LLC [US]
DOW GLOBAL TECHNOLOGIES LLC

Resumen de: AU2023409235A1

Machine learning can be used to predict formulations for an output formulation. The machine learning can be implemented by a machine learning model, which employs a forward model and an inverse model. A user interface can be used to gather raw materials selections and output formulation property selections. The selections can be used to generate formulations that comply with selections using the ML model.