Encoding Techniques for Neural Network Architectures
Summary
The European Patent Office published patent application EP4302232A1 by Qualcomm Incorporated on March 25, 2026. The patent covers encoding techniques for neural network architectures, classified under G06N 3/04 (neural network structures) and G06N 3/08 (neural network learning methods). The designated states cover all EU member states plus Switzerland, Norway, and other European countries.
What changed
EPO published Qualcomm Incorporated's patent application EP4302232A1 titled 'Encoding Techniques for Neural Network Architectures.' The patent covers methods and systems for encoding neural network architectures with applications in wireless communications (H04W 28/06). Inventors include Pavan Kumar Vitthaladevuni, Taesang Yoo, Naga Bhushan, and June Namgoong. The patent is designated for all EU member states plus AL, CH, CY, IS, LI, MC, MK, NO, RS, TR, TR.
For technology companies developing AI or neural network products, this patent publication establishes intellectual property rights that may require licensing consideration. IP legal teams should assess freedom-to-operate implications for encoding or compressing neural network architectures. Companies with overlapping AI technology development should evaluate potential infringement risks.
Source document (simplified)
ENCODING TECHNIQUES FOR NEURAL NETWORK ARCHITECTURES
Publication EP4302232A1 Kind: A1 Mar 25, 2026
Applicants
QUALCOMM INCORPORATED
Inventors
VITTHALADEVUNI, Pavan Kumar, YOO, Taesang, BHUSHAN, Naga, NAMGOONG, June
IPC Classifications
G06N 3/04 20230101AFI20220909BHEP H04W 28/06 20090101ALI20220909BHEP G06N 3/08 20230101ALI20220909BHEP
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
Named provisions
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