DeepX

AI

Workflow Monitor for Operations

A workflow monitor is essential for managing complex processes in modern organizations. Supported by intelligent workflow automation, it enables real-time monitoring, helping teams maintain procedural compliance and achieve strong operational efficiency. Without these capabilities, delays, errors, and compliance risks can … Read More

AI safety in autonomous driving systems

Safety debates around autonomous driving often drift into broad claims about whether AI can be trusted. That framing misses the real engineering issue. In practice, many failures come from limits in perception, edge case handling, and system design under degraded … Read More

AI governance in enterprise environments

As AI adoption expands, enterprises are treating model access like any other critical layer in infrastructure. Recent reports, including cases where regulators and state organizations are reviewing or restricting the use of certain external AI models such as OpenClaw in … Read More

How DeepX Is Advancing Industrial AI

AI has moved beyond narrow models built for a single task. Today, the real challenge is building systems that can operate reliably in complex environments where safety, speed, and trust matter every day. That is the space DeepX was built … Read More

Multimodal Learning for Medical Images

Positioning in the research landscape Automated medical image analysis is increasingly used in clinical practice, particularly for volumetric CT scans and whole-slide images (WSI). For such large and complex data, model predictions must be accurate and interpretable.  Earlier research published … Read More

The Rise of AI Video Surveillance in Construction

Artificial intelligence is transforming construction project management, enabling companies to improve efficiency, safety, and decision-making. Recent research indicates that 75% of construction organisations now use AI, highlighting the growing role of AI-powered video analytics, computer vision analytics, and real-time video … Read More

Real-Time AI Signal Detection from SETI

The headline result and why it matters In late 2025, the SETI Institute detailed an AI Signal Detection system at the Allen Telescope Array (ATA) that slashed end-to-end processing time by 600×, turning a pipeline that needed ~59 seconds to … Read More

Airport Baggage Tracking

Intelligent Airport Baggage Tracking

Introduction Modern airport baggage operations demand visibility, speed, and reliability to keep luggage moving efficiently. As passenger volumes increase and operations become more complex, airports need advanced AI-powered baggage monitoring systems, an integrated airport baggage handling system, and an enterprise … Read More

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Using AI to Improve Airport Safety

Introduction Airports are complex environments where passengers, vehicles, and ground crews operate simultaneously. Ensuring physical safety monitoring and effective risk prevention is essential to reliable operations. Traditionally, CCTV video analytics and standard camera systems were used mainly for observation and … Read More

Why Crowd Control Is Critical in Airports

Introduction Airports manage thousands of passengers every hour, making effective crowd control and risk prevention a core part of airport operations. Traditionally, CCTV systems and video surveillance AI within camera security systems for business were used mainly for observation and … Read More

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