Deep-dive into the engineering behind Qoresic — from silicon-level architecture to AI compiler research and autonomous chip design.
Back to QoresicSeven papers covering the full stack — from novel SRAM architectures and FHE noise models to agentic chip design and AI-native operating systems.
End-to-end automated chip design using large language models: from natural-language specification through RTL synthesis to final GDSII layout.
Read Whitepaper →Leveraging fully homomorphic encryption noise characteristics to enable privacy-preserving inference on resource-constrained edge devices.
Read Whitepaper →Autonomous AI agents that iteratively optimize placement, routing, and timing closure for advanced process nodes without human intervention.
Read Whitepaper →A novel SRAM rotation scheme that maximizes AI workload throughput by eliminating memory bandwidth bottlenecks at the sub-10nm node.
Read Whitepaper →A ground-up operating system architecture purpose-built for AI silicon — unifying model scheduling, memory hierarchies, and on-chip compute into a single intelligent runtime layer.
Read Whitepaper →An AI-native semiconductor OS whitepaper focused on LEDCircle architecture, coordinated runtime intelligence, and scalable orchestration for next-generation AI silicon systems.
Read Whitepaper →An AI-native IC design platform built around a central AI Supervisor Brain, 19+ specialized agents, a shared semiconductor knowledge core, and integration across 24 EDA tool categories — orchestrating the full workflow from specification through sign-off and manufacturing feedback.
Read Whitepaper →