R&D in custom hardware designs including SoC, 4G / 5G Comm Modules, GNSS modules, Edge-AI Enabled IoT hardware, Gateways etc. The research is more focused on designs that would be more optimized, secure and the right fit for the required solution.
High level research on all aspects and components of creating an eco system for intelligent machines. Right from hardware, firmware, distributed intelligence, DL & GDL Model, optimized knowledge transfers, AI security, support systems, resilience, fail safe etc.
Optimization is the key point for maximum RoI and sustainability. Optimization for Intelligent machines has a wide spectrum of areas to be addressed which includes Hardware design, communication protocols, connectivity and network usage, compute and storage usage. Concepts like optimized & minimal learning, mini & micro models are to be evolved
Both edge and cloud security are critical components of a comprehensive cybersecurity strategy. They work together to create a secure end-to-end environment, from the edge devices where data is generated to the cloud where it is stored and processed.
IoT and blockchain R&D often intersect, as combining these technologies can enhance the security, traceability, and efficiency of IoT solutions. Research ranging from sensor technologies, edge computing, smart contract, DApps, traceability, security are envisaged
Automation continues to evolve with advancements in technology like AI, machine learning, and IoT. Organizations that embrace automation effectively can gain a competitive edge by optimizing processes, reducing operational costs. Our research in this field is focusing on generalization of hardware and platforms so that development and production can be made more efficient
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