At Sirraya Labs Research, we push the boundaries of artificial intelligence, decentralized systems, and computational theory. Our work in Layer-wise Semantic Dynamics and quantum-resistant protocols is shaping the next generation of intelligent infrastructure.
Advanced neural networks and interpretable AI systems
Layer-wise analysis of neural network behavior
Post-quantum cryptography and algorithms
Scalable distributed networks and protocols
Groundbreaking research in neural network interpretability and semantic representation analysis across model layers.
Collaborating with Leading Institutions
Explore our cutting-edge research initiatives that are pushing the boundaries of artificial intelligence, cryptography, and decentralized systems.
Investigating how semantic meaning transforms across neural network layers, enabling interpretable AI and understanding of model decision processes.
Dr. Amir Sirraya, Dr. Elena Rodriguez, Marcus Chen
2023-2025
Our research contributions to top-tier conferences and journals, advancing the frontiers of AI, cryptography, and decentralized systems.
Sirraya, A., Rodriguez, E., Chen, M., et al.
We present a comprehensive analysis of semantic representation evolution across transformer layers, revealing non-linear progression patterns and cross-modal alignment emergence in large-scale models.
Thorne, A., Petrov, N., Security Team
Novel DID protocols using lattice-based cryptography that maintain security against quantum attacks while preserving performance and usability for decentralized systems.
Rao, S., AI Research Team, Infrastructure Team
A framework for large-scale federated learning that maintains strong differential privacy guarantees while achieving state-of-the-art model performance across heterogeneous devices.
Chen, M., Verification Team, Safety Research Group
Advanced formal methods for verifying neural network robustness properties, enabling certified safety guarantees for critical AI applications.
Sirraya, A., Vision Research Team
Investigation of semantic alignment mechanisms in multimodal transformers, revealing emergent cross-modal representations and their implications for model interpretability.
Thorne, A., Cryptography Team
Novel ZKP constructions optimized for decentralized applications, achieving sub-second verification times while maintaining strong security guarantees.
Our research is regularly presented at top-tier international conferences
Join our vibrant research community working at the intersection of AI, cryptography, and decentralized systems. Together, we can push the boundaries of what's possible.
Multiple pathways to engage with our research team and contribute to groundbreaking work.
Partner with our team on cutting-edge research projects and publications
Join our research team through funded PhD and postdoctoral positions
Establish institutional partnerships for long-term research initiatives
Whether you're a researcher, student, or institution, we'd love to explore how we can work together to advance the frontiers of technology.