This week’s roundup of data news highlights from April 18, 2026, to April 24, 2026, featuring an AI platform that helps investigators analyze cold cases for overlooked clues and a robotic arm that can compete with professional table tennis players.
1. Solving Cold Cases
Los Angeles‑based tech company Veritone has partnered with the Cold Case Foundation, a nonprofit that helps investigate unsolved crimes, to deploy an AI platform that scans decades of case files for clues. The system breaks each document into searchable data points, compares patterns across jurisdictions, and reconstructs timelines to surface missed connections. By accelerating analysis that often takes months, the agencies aim to revive stalled investigations.
2. Beating World Records
China‑based smartphone company Honor has built a humanoid robot that finished the Beijing E-Town Half Marathon in 50 minutes and 26 seconds, seven minutes faster than the human world record. The robot uses long, human-like legs powered by precision-timed motors and a liquid-cooling system to maintain speed without overheating. It processes balance, stride, and terrain data in real-time, adjusting its stride on every step to keep pace throughout the race.
3. Identifying Birds
China-based smart bird feeder company Birdfy has created an AI-enhanced feeder with a built-in high-resolution camera that identifies visiting birds while capturing detailed footage. Its AI model analyzes each frame by examining color patterns, beak shapes, and movement signatures to classify species with high accuracy. The system then tracks behavior and visit frequency in real-time, generating species IDs, activity logs, and educational insights directly in the app.
4. Seeing Chatbot History
Meta has announced a new feature that lets parents see the topics their teens discussed with Meta’s AI. The system categorizes each conversation into broad areas, such as school, entertainment, writing, and health, using AI models that classify conversation topics. It analyzes message patterns, extracts key themes, and provides findings in the apps Insights tab, giving parents a clear view of their child’s chatbot interactions.
5. Beating Pro-Athletes
Sony has built a robotic arm that can play against professional table tennis players. The system uses nine high-speed cameras around the court to track the ball’s trajectory, spin, and speed, feeding that data into an AI model trained through repeated practice using thousands of simulated and real matches. It calculates racket angle, timing, and movement in milliseconds, adjusting each shot in real-time to handle unpredictable rallies and maintain competitive play.
6. Keeping Food Fresh
Researchers at the University of Maryland have created a biodegradable plastic cling wrap by training an AI model to design stronger, plant-based polymers, which are the building blocks of plastics. The system tests thousands of molecular combinations, predicting how each one will stretch, seal, and break down before it is produced. It then recommends the best formulas, helping the team create a wrap that matches the flexibility of traditional plastic.
7. Monitoring Deforestation
Netherlands-based coffee company JDE Peet’s has partnered with Airbus to launch a satellite-powered system that tracks deforestation across global coffee-growing regions. The platform uses an AI system to analyze the satellite imagery, detecting coffee farms, classifying landscapes, and flagging forest loss. The system continuously analyzes terrain patterns, sending alerts about potential deforestation risks, helping companies ensure sustainable sourced coffee.
8. Issuing Pollution Alerts
Scientists at the University of the Witwatersrand have created an AI-powered app that alerts residents when coal burning in nearby towns pushes air quality to dangerous levels. The system analyzes real-time sensor data, satellite readings, and weather patterns to detect spikes in fine pollution particles. It then predicts how smoke will spread, sending local alerts that help communities reduce exposure and understand daily risks.
9. Tracking Eye Movement
Aaryan Balani, an eight grade student from Cerritos, California, has built an AI-powered device that helps detect and treat crossed eyes, or strabismus. The system uses a phone-mounted camera to track how each eye focuses on moving points on a screen. It compares those patterns with clinical eye-tracking data from patients with normal and misaligned vision, then flags issues and generates exercises to improve coordination over time.
10. Collecting Data Quicker
U.K.-based construction company Tilbury Douglas has deployed a humanoid robot to handle administrative tasks such as data entry and document processing on a live construction site. The system uses AI models to read documents, extract key details, and enter data into project management software with high accuracy. It also processes schedules, safety logs, and delivery records, updating workflows automatically so staff can focus on higher priority tasks.
