Deep Learning
🧬 Research
Novel Neural Architecture Research
Developing efficient neural network architectures for resource-constrained business applications — maximizing accuracy while minimizing compute, memory, and latency requirements.
Research Focus Areas
- Lightweight transformer architectures for edge and mobile deployment
- Automated neural architecture search for task-specific network discovery
- Advanced model pruning and structured sparsification techniques
- Knowledge distillation from large teacher to compact student models
- Efficient attention mechanisms reducing quadratic complexity
- Hardware-aware architecture optimization for specific deployment targets
Applied Research Philosophy
Every research thread at Zaplin Innovations connects to a practical deployment path. We translate frontier AI techniques into reliable, production-grade solutions — research that ships to production, not just to publication. Our applied approach ensures that breakthroughs in our lab become competitive advantages for our clients.
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