WO2025238493 - APPLICATION AND VERIFICATION OF AI/ML MODEL CAPABILITY

National phase entry is expected:
Publication Number WO/2025/238493
Publication Date 20.11.2025
International Application No. PCT/IB2025/054854
International Filing Date 08.05.2025
Title **
[English] APPLICATION AND VERIFICATION OF AI/ML MODEL CAPABILITY
[French] APPLICATION ET VÉRIFICATION DE CAPACITÉ DE MODÈLE IA/ML
Applicants **
NOKIA TECHNOLOGIES OY
Inventors
KASHYAP, Bharath Ramesh
MAHENDRA, Rachit
SYED MUHAMMAD, Fahad
GOLD, Dimitri
Priority Data
2406693.8   13.05.2024   GB
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Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting2248
EPO Filing, Examination, Granting9097
Japan Filing, Examination, Granting2199
South Korea Filing, Examination, Granting2006
USA Filing, Examination, Granting5940
MasterCard Visa
Total: 21,490
Abstract[English] Example embodiments of the present disclosure are directed to application and verification of artificial intelligence/machine learning (AI/ML) model capability in a communication system. A method comprises transmitting, to a second apparatus, capability information indicating generalization capability of an artificial intelligence/machine learning (AI/ML) model or functionality in the first apparatus, the generalization capability at least comprising pair information, the pair information indicating a plurality of pairs of scenarios and communication configurations in enabling the AI/ML model or functionality; and receiving, from the second apparatus, an indication of a generalization score of the AI/ML model or functionality.[French] Des exemples de modes de réalisation de la présente divulgation concernent l'application et la vérification de la capacité de modèle d'intelligence artificielle / d'apprentissage automatique (IA/ML) dans un système de communication. Un procédé consiste à transmettre, à un second appareil, des informations de capacité indiquant la capacité de généralisation d'un modèle ou d'une fonctionnalité d'intelligence artificielle / d'apprentissage automatique (IA/ML) dans le premier appareil, la capacité de généralisation comprenant au moins des informations de paire, les informations de paire indiquant une pluralité de paires de scénarios et de configurations de communication pour permettre le modèle ou la fonctionnalité IA/ML ; et à recevoir, en provenance du second appareil, une indication d'un score de généralisation du modèle ou de la fonctionnalité IA/ML.

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