"From the land of spices, mathematics, and scholars."
· KERALA, INDIA // SOVEREIGN RUNTIME ·The official publication index of Araskova Labs. We conduct fundamental and applied research across machine vision, embedded inference compilation, robotics, and post-quantum cryptographic engineering — publishing findings, datasets, and benchmark failure analyses as peer-accessible technical preprints.
Real-time semantic segmentation, optical line-scan inspection, and sub-15ms defect detection on embedded industrial nodes.
Uncertainty-aware policy learning, spatial reasoning, and multi-agent coordination frameworks in constrained physical environments.
Hardware-accelerated ROS2 nodes, real-time sensor fusion, and microsecond solenoid actuation for industrial automation.
Zero-trust execution boundaries, native AST static security analysis, and adversarial vulnerability remediation for AI systems.
Post-training quantization (INT8/FP4), memory-aligned SIMD kernels, and zero-copy ring buffers for constrained edge silicon.
Active research in variational quantum algorithms (Qiskit/Pennylane), quantum machine learning (QML), and NIST FIPS 203 ML-KEM-768 lattice cryptography.
Abstract:Hybrid variational quantum circuits, Qiskit simulation pipelines, and NIST FIPS 203 ML-KEM-768 lattice cryptography defending critical sovereign infrastructure against quantum decryption.
Abstract:Methodology for constructing domain-specific adversarial instruction datasets, counter-hallucination verification benchmarks, and automated alignment sets for low-resource languages.
Abstract:An internal benchmark of leading LLMs on real-world Malayalam administrative queries reveals a ~73% failure rate — validating our regional data engine thesis.
Abstract:Achieving zero cloud exfiltration via proprietary INT8/FP16 quantized inference runtimes compiled for NVIDIA Jetson, Edge TPU, and low-power ARM industrial microcontrollers.
Abstract:Sub-5ms trajectory re-planning, multi-sensor spatial SLAM calibration, and deterministic obstacle avoidance algorithms running on air-gapped robotic microcontrollers.
Abstract:How Araskova's Vigil system applies semantic segmentation and anomaly detection to factory production lines — moving beyond CCTV surveillance into real-time quality intelligence.
Araskova Labs maintains open channels with universities, state administrative bodies, and independent research fellows. If you are conducting peer replication, requesting raw benchmark splits, or proposing an applied research fellowship, contact the principal research office directly.