Preassembled Weakly Supervised Machine Learning
Summary
EPO published patent application EP4716911A1 for NEC Laboratories Europe GmbH covering preassembled weakly supervised machine learning techniques that enable model training with limited labeled data. The patent application was published on April 1, 2026, with inventors Solmaz and Cirillo.
What changed
EPO granted patent EP4716911A1 to NEC Laboratories Europe GmbH for methods of training machine learning models using preassembled weakly supervised techniques. The invention addresses training scenarios where limited labeled data is available, using weakly supervised learning approaches to improve model performance without requiring large annotated datasets.
Technology companies and software developers working on machine learning systems should evaluate whether their training methods fall within the scope of the granted claims. Patent exclusivity extends for 20 years from the filing date, with designated states covering all major European markets including DE, FR, GB, IT, ES, NL, and others.
What to do next
- Review patent claims to assess freedom to operate
- Monitor for related continuation applications
- Consult IP counsel before developing similar systems
Archived snapshot
Apr 9, 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.
PREASSEMBLED WEAKLY SUPERVISED MACHINE LEARNING
Publication EP4716911A1 Kind: A1 Apr 01, 2026
Applicants
NEC Laboratories Europe GmbH
Inventors
SOLMAZ, Gurkan, CIRILLO, Flavio
IPC Classifications
G06N 20/00 20190101AFI20241129BHEP
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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