Patent Application: Uncertainty Quantification in Neural Networks
Summary
The European Patent Office published patent application EP2024199632A1 titled 'System and Method for Performing Uncertainty Quantification.' The application covers neural network technology in the G06N classification range (machine learning, deep learning architectures). The designation of inventor has not yet been filed.
What changed
The EPO published patent application EP2024199632A1 for a system and method of uncertainty quantification in neural networks. The application is classified under IPC G06N 20/00 (Machine Learning), G06F 30/27 (Computing Arrangements Based on Specific Computational Models), and G06N 3/084 (Neural Networks - Learning Methods). The designated states include all major European Patent Convention contracting 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, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR).
This is a routine patent publication notice providing public notice of the application filing. Technology companies developing machine learning systems should review the claims to assess potential overlap with their own R&D activities or existing patent portfolios. The patent status (inventor designation pending) indicates the application is still in early examination stages.
Source document (simplified)
SYSTEM AND METHOD FOR PERFORMING UNCERTAINTY QUANTIFICATION
Publication EP2024199632A1 Kind: A1 Mar 25, 2026
Inventors
The designation of the inventor has not yet been filed
IPC Classifications
G06N 20/00 20190101AFI20241004BHEP G06F 30/27 20200101ALI20241004BHEP G06N 3/084 20230101ALI20241004BHEP
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, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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