Classifying Data Objects Using Neighborhood Representations
Summary
The EPO published Google LLC's patent application EP4423668A1 on April 8, 2026. The patent covers methods and systems for classifying data objects using neighborhood representations in machine learning models. The application names inventors Oleg Golubitsky and Dake He, with designated states covering all EU member states plus additional European countries.
What changed
The EPO published Google LLC's patent application EP4423668A1, titled 'Classifying Data Objects Using Neighborhood Representations.' The application covers machine learning methods for classifying data objects through neighborhood representations. Inventors are Oleg Golubitsky and Dake He, with designated states including all EU member states plus Switzerland, Norway, Turkey, and other European jurisdictions.
For Google LLC, the publication establishes priority rights for the disclosed classification methods across designated European states. For the broader technology and AI sector, the patent publication signals Google's intellectual property position in machine learning classification techniques, which may be relevant for companies developing similar AI systems or seeking to license neighborhood-based classification approaches.
Archived snapshot
Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
CLASSIFYING DATA OBJECTS USING NEIGHBORHOOD REPRESENTATIONS
Publication EP4423668A1 Kind: A1 Apr 08, 2026
Applicants
Google LLC
Inventors
GOLUBITSKY, Oleg, HE, Dake
IPC Classifications
G06N 20060101AFI20240604BHEP
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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