ARTIFICIAL SUPER INTELLIGENCE-BASED NEUROMORPHIC HYPERSONIC PROCESSOR

The present invention discloses a neuromorphic processor system (100) for deterministic real-time processing of input data with bounded latency and its method. The system comprises sensor interface circuits (102), an event encoder module (104), neuromorphic compute cores (NCCs) (106), a hypersonic event fabric (HEF) (108), a deterministic scheduling controller (110), an adaptive learning engine (112), a context management and task coordination controller (114), and an output interface circuit (118). The sensor interface circuits (102) is configured to receive multi-modal input signals. The event encoder module (104) is configured to convert the input signals into time-encoded spike event streams. The HEF (108) is configured to: transmit event packets between the NCCs, and perform priority-aware routing and congestion controlled communication to ensure bounded end-to-end latency. The deterministic scheduling controller (110) is configured to assign priority levels to event streams and regulate routing and processing across the hypersonic event fabric based on latency constraints.