Distilling Transformers for Neural Cross-Domain Search
Summary
The European Patent Office published Patent EP4374291A1 for Microsoft Technology Licensing, LLC, covering methods of distilling transformer models for neural cross-domain search applications. The patent application, filed with six inventors and seven IPC classifications related to neural networks and machine learning, designates all 31 European patent states. This is a standard patent publication providing intellectual property protection rather than imposing regulatory obligations.
What changed
The EPO published Microsoft Patent EP4374291A1 covering techniques for distilling transformer models to enable neural cross-domain search capabilities. The patent includes methods for compressing large transformer architectures while maintaining search accuracy across different domains. The filing designates 31 European states including Germany, France, UK, Italy, Spain, and the Nordic countries.
As a patent publication rather than a regulatory rule, this document does not impose compliance obligations on third parties. However, organizations developing AI-powered search technologies should monitor relevant patents for freedom-to-operate considerations and potential licensing requirements. Patent monitoring services can track EPO publications in specific technical fields.
Source document (simplified)
DISTILLING TRANSFORMERS FOR NEURAL CROSS-DOMAIN SEARCH
Publication EP4374291A1 Kind: A1 Mar 25, 2026
Applicants
Microsoft Technology Licensing, LLC
Inventors
CLEMENT, Colin Bruce, DRAIN, Dawn, SUNDARESAN, Neelakantan, WU, Chen
IPC Classifications
G06N 3/0895 20230101AFI20251211BHEP G06N 3/096 20230101ALI20251211BHEP G06N 3/045 20230101ALI20251211BHEP G06N 3/0455 20230101ALI20251211BHEP G06F 8/30 20180101ALN20251211BHEP G06F 8/51 20180101ALN20251211BHEP G06F 8/74 20180101ALN20251211BHEP
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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