Prosecution Insights
Last updated: August 17, 2026

Examiner: ROHD, BENJAMIN MATTHEW

Tech Center 2100 • Art Units: 2124 2145 2147 2148 2151

This examiner grants 0% of resolved cases

Performance Statistics

0.0%
Allow Rate
-55.0% vs TC avg
41
Total Applications
+0.0%
Interview Lift
1560
Avg Prosecution Days
Based on 2 resolved cases, 2023–2026

Rejection Statute Breakdown

24.9%
§101 Eligibility
9.6%
§102 Novelty
49.2%
§103 Obviousness
15.8%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18125554 MULICAST AND SIMULCAST IN NEURAL ENGINES Final Rejection Apple Inc.
18281497 QUANTUM GENERATIVE ADVERSARIAL NETWORKS WITH PROVABLE CONVERGENCE Non-Final OA Google LLC
18343292 MACHINE LEARNING TO REDUCE RESOURCES FOR GENERATING SOLUTIONS TO MULTI-NODE PROBLEMS Non-Final OA Oracle International Corporation
18427467 SYSTEMS AND METHODS FOR APPROXIMATION OF SHAPLEY VALUES IN MEMORY-CONSTRAINED ENVIRONMENTS Non-Final OA JPMORGAN CHASE BANK, N.A.
17822104 REDUCED DENSITY MATRIX ESTIMATION FOR PARTICLE-NUMBER-CONSERVING FERMION SYSTEMS USING CLASSICAL SHADOWS Non-Final OA Microsoft Technology Licensing, LLC
17805262 SUPERVISED CONTRASTIVE LEARNING FOR RELATED CONTENT RECOMMENDATION Non-Final OA Microsoft Technology Licensing, LLC
17982128 Streaming Media Processing Method, Device and Electronic Equipment Based on Inference Service Non-Final OA Beijing Baidu Netcom Science Technology Co., Ltd.
17888268 MODEL SCALING FOR MULTIPLE ENVIRONMENTS USING MINIMUM SYSTEM INTEGRATION Final Rejection Hitachi, Ltd.
18450745 SMALL MOLECULE GENERATION USING MACHINE LEARNING MODELS Non-Final OA NVIDIA Corporation
17955423 ORGANIZING NEURAL NETWORK GRAPH INFORMATION Final Rejection NVIDIA Corporation
17464530 INTELLIGENT ANOMALY IDENTIFICATION AND ALERTING SYSTEM BASED ON SMART RANKING OF ANOMALIES Final Rejection Cisco Technology, Inc.
18090685 APPARATUS FOR DETERMINING THE NUMBER OF LAYERS OF GRAPH NEURAL NETWORK BY USING REINFORCEMENT LEARNING MODEL, METHOD FOR DETERMINING THE NUMBER OF LAYERS OF GRAPH NEURAL NETWORK BY USING REINFORCEMENT LEARNING MODEL, AND RECORDING MEDIUM STORING INSTRUCTIONS TO PERFORM METHOD FOR DETERMINING THE NUMBER OF LAYERS OF GRAPH NEURAL NETWORK BY USING REINFORCEMENT LEARNING MODEL Final Rejection Research & Business Foundation SUNGKYUNKWAN UNIVERSITY
18179137 NETWORK TRAFFIC FLOW CLASSIFICATION USING FULLY SEGMENTED MODELS Final Rejection Hewlett Packard Enterprise Development LP
18096444 MACHINE LEARNING MODELS WITH INTEGRATED UNCERTAINTY Non-Final OA Cypress Semiconductor Corporation
18065296 DOMAIN KNOWLEDGE-BASED EVALUATION OF MACHINE LEARNING MODELS Final Rejection International Business Machines Corporation
18267363 SOLVING MIXED INTEGER PROGRAMS USING NEURAL NETWORKS Non-Final OA DeepMind Technologies Limited

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