Arkane Technology
1. Deep Learning from Wireless to Radar Systems
2. Transparent , Explainable, Trustworthy AI
3. Resource-Efficient Embedded AI on FPGA
4. Model Based Design et intégration continue
Deep Learning from Wireless to Radar Systems
Adopt hybrid reconfigurable approaches enhanced by AI to optimize resource consumption and computation speed.
Using advanced beamforming techniques with integrated AI layers, our solutions improve signal precision. Real-time optimization delivers better spatio-temporal resolution and interference suppression, enhancing detection, localization, and classification of signals in challenging environments.
2. Transparent, Explainable, Trustworthy AI
Understand how our artificial intelligence algorithms work to ensure system mastery and assess reliability.
Our solutions are designed to be transparent and explainable, allowing users to interpret model decisions and quickly identify anomalies.
For hybrid signal processing, we analyze the sensitivity of hybrid algorithms to evaluate their robustness and reliability in changing environments.
Resource-Efficient Embedded AI on FPGA
Implement deep learning on reconfigurable FPGA hardware to optimize computational performance. Create resource-efficient AI models from training through inference.
Our solutions leverage the flexibility and efficiency of FPGAs to deliver high processing power with reduced latency. By integrating advanced compression and quantization techniques, we deploy lighter and more efficient models tailored to current environmental and energy constraints. Our integration approach maximizes the performance of quantized embedded models while minimizing energy footprint.
Model-Based Design and Continuous Integration
Use a Model-Based Design approach to optimize traceability and code verification against a set of requirements.
Standardize and automate our processes with reproducible continuous integration to quickly deploy models from design to implementation on electronic boards.
Our method ensures a smooth and transparent transition across development stages, guaranteeing strict compliance with requirements and higher final product quality. Our continuous integration solutions allow constant updates and improvements to models, ensuring optimal performance and smooth, rapid deployment.
OUR SOLUTIONS:
Wireless
IoT Networks
Reliable low-latency wireless data collection for structural monitoring and instrumentation
Adaptive Beamforming
Machine learning-based adaptive beamforming for multi-element antennas.
Advanced Multi-Antenna & Radar Processing
Embedded AI on FPGA for advanced signal processing.