WO2025238483 - APPLICATION AND VERIFICATION OF AI/ML MODEL CAPABILITY
National phase entry is expected:
Publication Number
WO/2025/238483
Publication Date
20.11.2025
International Application No.
PCT/IB2025/054807
International Filing Date
07.05.2025
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
2406691.2
13.05.2024
GB
Application details
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| 译文 |
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2305 | |
| EPO | Filing, Examination, Granting | 9934 | |
| Japan | Filing, Examination, Granting | 2215 | |
| South Korea | Filing, Examination, Granting | 2192 | |
| USA | Filing, Examination, Granting | 5340 |
Total:
21,986
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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 obtaining capability information indicating generalization capability of a first AI/ ML model or functionality in the first apparatus, the generalization capability at least comprising a first generalization score of the first AI/ML model or functionality; and transmitting the capability information to a network device.[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 / apprentissage automatique (IA/ML) dans un système de communication. Un procédé consiste à obtenir des informations de capacité indiquant la capacité de généralisation d'un premier modèle ou fonctionnalité IA/ML dans le premier appareil, la capacité de généralisation comprenant au moins un premier score de généralisation du premier modèle ou fonctionnalité IA/ML; et à transmettre les informations de capacité à un dispositif de réseau.