Neuro-Symbolic AI and Edge Computing

At the heart of the GAP system is our groundbreaking Neuro-Symbolic AI. We are not content with standard solutions but build industrial intelligence that works offline and close to the source, to meet the strictest requirements for performance, security, and autonomy.

Corax CoLAB is the architect behind cyber-physical systems that secure your future. Our AI strategy focuses on delivering lightning-fast, secure, and sustainable AI solutions through advanced Edge Computing. We integrate Neuro-Symbolic AI to create intelligent systems that not only perceive their surroundings but can also reason, make decisions, and act autonomously even in the most demanding industrial environments. This minimizes latency, maximizes data integrity, and enables a whole new level of automation.

COMPARISON & BENEFITS

Cloud vs Edge AI

Our AI strategy prioritizes performance, security, and autonomy.

Cloud AI

Cloud AI

Traditional cloud-based AI means that raw data must be transported to centralized servers for processing. This inevitably leads to higher latency in the decision-making process, requires constant and high bandwidth, and significantly increases the risk of data leakage and compromise, especially with sensitive industrial or biometric data.

Edge AI (Our specialty)

Edge AI (Our specialty)

Our core competence lies in Edge AI, where all critical data processing takes place locally on the device, close to the data source. GAPbot utilizes Hailo-8 AI accelerators (26 TOPS) and powerful Raspberry Pi 5 systems for lightning-fast analysis of video and sensor values in real-time, eliminating reliance on the cloud for immediate decisions and securing integrity.

Speed

Speed

With Edge AI, decisions are made within milliseconds. This is crucial in time-critical applications, such as when a robot must immediately act upon detection of obstacles, security risks, or unexpected events. This immediacy ensures maximum operational efficiency and security.

Integrity

Integrity

Integrity is built in from the ground up (Privacy by Design). All processing of sensitive biometric data and camera images takes place exclusively locally on the Edge device. This ensures that no sensitive information ever leaves the system, ensuring full GDPR compliance and the highest possible data protection.

Robustness & Autonomy

Robustness & Autonomy

Our Edge AI systems are designed to function fully autonomously even in the absence of network connectivity. This ensures continuous operation and decision-making in remote or disturbed environments, making the systems exceptionally robust and reliable.

Security (PQC)

Security (PQC)

By implementing Post-Quantum Cryptography (PQC), we future-proof communication and data against threats from quantum computers. This protects critical systems and data against 'harvest now, decrypt later' attacks, providing an unparalleled level of cybersecurity.

ARCHITECTURE

Neuro-Symbolic AI

The core of our intelligent automation is a unique Neuro-Symbolic AI architecture. It combines neural networks' lightning-fast perception with symbolic AI's profound cognition and reasoning abilities, enabling both adaptability and rule-driven precision.

AI Architecture Overview

Perception (The Eye)

With advanced neural networks, primarily YOLOv8m (Medium) optimized for Hailo-8 AI Accelerator, we give our systems the ability to instantly identify objects, weeds, potential security risks, or specific anomalies in real-time. This Edge-based perception occurs with extreme precision and minimal latency, directly at the data source.

Cognition (The Brain)

The cognition layer, driven by a local Generative AI model (Phi-3 Medium), forms the system's 'brain'. This symbolic AI can perform complex reasoning, plan actions, and make autonomous decisions. Through strict application of Grammar-Constrained Decoding (GBNF), it is guaranteed that the robot always follows predefined rules and operational protocols, eliminating AI hallucinations and ensuring deterministic and reliable response.

MLOps & Self-Healing Code

To ensure continuous and optimal performance, all AI models are managed through an industrial-grade MLOps pipeline. This includes automated data collection, model training, secure OTA deployment, and real-time monitoring for anomalies (drifting). The systems are also equipped with 'Self-Healing Code', where AI autonomously identifies, diagnoses, and corrects errors in system logic for maximum uptime and reliability in the field.

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