Ericsson patent for developing machine learning models
Summary
The European Patent Office published patent EP4330817A1 for Telefonaktiebolaget LM Ericsson, covering methods for developing machine learning models. The patent application was filed with claims under IPC classifications G06F 9/50, G06F 9/54, and G06N 20/00. The patent is designated for validation across all 31 European member states including DE, FR, GB, IT, NL, and SE.
What changed
EPO published patent EP4330817A1 granted to Ericsson for methods of developing machine learning models. The patent application, filed under the G06N classification (AI) with supporting claims in G06F 9/50 and G06F 9/54, names six inventors and covers computational resource allocation techniques for ML systems. The publication kind is A1, indicating a published application with search report.
Patent holders and competitors in the technology and telecommunications sectors should review this grant to assess potential freedom-to-operate implications for their own machine learning products and services. The patent is now enforceable across designated contracting states including Germany, France, the UK, Italy, Netherlands, Sweden, and 25 other European Patent Convention members. Organizations developing or deploying machine learning systems in Europe may need to evaluate licensing options or design-around strategies.
Source document (simplified)
DEVELOPING MACHINE-LEARNING MODELS
Publication EP4330817A1 Kind: A1 Mar 25, 2026
Applicants
Telefonaktiebolaget LM Ericsson (publ)
Inventors
LARSSON, Hannes, TAGHIA, Jalil, EBRAHIMI, Masoumeh, LEE, Carmen, JOHNSSON, Andreas, MORADI, Farnaz
IPC Classifications
G06F 9/50 20060101AFI20221104BHEP G06F 9/54 20060101ALI20221104BHEP G06N 20/00 20190101ALI20221104BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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