DeepX

AI

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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AI Video Analytics for Construction Site Safety

Introduction Construction sites are high-risk environments where accidents can happen in seconds. For years, CCTV systems were used mainly to review incidents after they occurred. Yet injuries remain common – around 50,000 construction workers suffer non-fatal injuries each year in … Read More

froth flotation

Froth Flotation Finally Turned Into Data

The Logic Translating video into process metrics. The surface of a flotation bank provides key indicators of air rate, reagent regime, and hydrodynamics. Computer vision transforms these pixel-based cues into actionable numbers, ensuring continuous and deterministic monitoring without the need … Read More

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Improving 3D Reflection Performance with Gaussian Tracing

3DGS in short NeRF (Neural Radiance Fields) forms images by sampling a neural field along many rays, which looks good but can be slow. 3D Gaussian Splatting (3DGS) replaces heavy per-pixel networks with many Gaussian splats and anisotropic points with … Read More

Outputs from the Physical AI

How Digital-Physical AI Is Changing Vision and Robotics

What “Digital-Physical AI” means in practice Digital-Physical AI is an approach where real-world sensor data (cameras, lidar, IMUs, microphones) is continuously connected with simulation and cloud-scale training to build AI systems that don’t just perceive, but also decide and act … Read More

Anthropic Claude

AI Security Audits in Retrospect After Anthropic’s Intrusion Reveal

I. Introduction The corporate adoption of artificial intelligence tools and large language models (LLMs) has reached an inflection point. AI Agents, persistent artificial intelligence systems that execute complex, multi-step workflows using AI with memory, are reshaping the enterprise risk model. … Read More

AI-assisted control room

AI Control Room Breakthrough by Honeywell & TotalEnergies

What happened  Honeywell announced an ongoing pilot with TotalEnergies at the Port Arthur Refinery (Texas) using Experion Operations Assistant, an AI-assisted control room solution that supports operators with short-term forecasts and decision support to optimise production and enhance autonomy over … Read More

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