This week’s roundup of data news from November 7 to November 13, 2026, features a digital model helping San Francisco International Airport manage its facilities and operations and an AI tool designed to help patients challenge health insurance denials.
1. Managing Airport Operations
San Francisco International Airport has developed a digital twin that integrates real-time data to provide a virtual view of the airport’s facilities and operations. The platform combines sensor readings and building plans to visualize utilities, transit connections, baggage handling, and passenger flows. Airport managers aim to use it to test infrastructure changes, coordinate construction projects, and identify potential problems before they disrupt services.
2. Detecting Naval Mines
The U.S. government is testing autonomous ships and underwater robots to detect naval mines in high-risk waterways such as the Strait of Hormuz. These systems use sonar, and AI-driven sensors to scan the seafloor, identify potential mines, and create three-dimensional maps of underwater environments. By conducting searches without putting crews in harm’s way, the technology aims to improve mine detection and protect vessels.
3. Automating Security Patrols
Home security company Ring has announced a new robotics division featuring an autonomous indoor security drone and a mobile robot for businesses. Both devices use Ring’s AI Pilot system, which combines cameras and sensors to navigate spaces, patrol designated routes, and investigate potential security alerts. The drone can inspect different rooms in a home, while the business robot monitors workplaces and streams video to users through the Ring app.
4. Supporting Wildlife Conservation
U.S.-based nonprofit Conservation International is using AI tools to support wildfire monitoring in remote parts of Cambodia. The organization analyzes satellite-detected hotspots and sends real-time alerts to community forest patrols, helping them respond to potential fires. By combining satellite data with local patrol networks, Conservation International aims to improve early wildfire detection and help communities protect vulnerable forests.
5. Identifying Early Signs of Disease
Researchers at the University of Sunderland in the UK are developing an AI system to identify early signs of diseases such as diabetes and cardiovascular conditions through routine eye scans. The technology analyzes images of the retina, the light-sensitive tissue at the back of the eye, alongside health records to detect changes that could indicate illness. Researchers hope the system will help doctors identify patients who need further testing sooner.
6. Evaluating AI Safety
New York Governor Kathy Hochul has launched the New York Center for AI Responsibility and Research to independently evaluate advanced AI systems and study their risks. Based at SUNY Binghamton University, the center will bring together more than 80 researchers from across the state to evaluate AI systems, assess company safety practices, and inform state oversight and policymaking.
7. Testing Park Experiences
Disney has introduced the Imagineering Labs app, allowing select Disneyland guests to test experimental digital experiences and provide feedback. Its first feature uses augmented reality to let visitors explore Star Wars: Galaxy’s Edge and complete interactive missions using their smartphones. Disney plans to use guest feedback to refine these experiments and develop future experiences, including an AI-powered guide.
8. Prioritizing Patient Referrals
The University of Texas Medical Branch has introduced an AI system to prioritize patients waiting for specialist appointments. The system reviews referral orders, medical records, lab results, imaging reports, and clinical notes to assess urgency and recommend appropriate care pathways. Early results show that average wait times fell from 93 to 65 days across four areas of specialized medical care.
9. Verifying AI Model Output
Anthropic has released an open-source research system called FlashProve designed to verify which AI model generated a particular output. It uses cryptographic proofs, mathematical methods for verifying information, and model fingerprints to confirm that content came from a specific model without revealing its underlying design. The system could help users independently verify companies’ claims about which AI models they use.
10. Appealing Health Insurance Denials
Iowa-based technology company Claimable has developed an AI tool to help patients appeal health insurance denials by asking insurers to reconsider decisions not to cover medications or treatments. The system reviews patients’ circumstances, drafts appeal letters, cites relevant policies and regulations, and develops arguments tailored to each denial. Claimable aims to simplify the appeals process and help patients challenge coverage decisions.
