Meta-Learning for Multi-Task Learning for Neural Networks
Summary
The European Patent Office published patent application EP3710990A1 for Magic Leap, Inc., covering meta-learning techniques for multi-task neural networks. The patent includes claims related to G06N classifications (neural networks, machine learning). The designated states cover major European markets including DE, FR, GB, IT, ES, and NL.
What changed
The EPO published patent EP3710990A1 for Magic Leap, Inc., titled 'Meta-Learning for Multi-Task Learning for Neural Networks.' The invention relates to neural network architectures capable of learning multiple tasks through meta-learning techniques, classified under IPC G06N 3/04, G06N 3/08, G06N 3/02, and G06N 20/00. Inventors include Rabinovich, Badrinarayanan, Rajendran, and Lee. The patent is designated for all major European states including Germany, France, UK, Italy, Spain, Netherlands, Belgium, Sweden, and Poland.
Technology companies developing multi-task neural networks or meta-learning systems should review the patent claims to assess potential licensing needs or freedom-to-operate considerations in European markets. No immediate compliance actions are required as this is a patent publication rather than an regulatory requirement. Companies in the AI/ML space operating in Europe should monitor this patent through the opposition period.
Source document (simplified)
META-LEARNING FOR MULTI-TASK LEARNING FOR NEURAL NETWORKS
Publication EP3710990A1 Kind: A1 Mar 25, 2026
Applicants
Magic Leap, Inc.
Inventors
RABINOVICH, Andrew, BADRINARAYANAN, Vijay, RAJENDRAN, Srivignesh, LEE, Chen-Yu
IPC Classifications
G06N 3/04 20060101AFI20210920BHEP G06N 3/08 20060101ALI20210920BHEP G06N 3/02 20060101ALI20210920BHEP G06N 20/00 20190101ALI20210920BHEP
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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