Curious Minds is where big questions meet everyday curiosity—exploring how science, technology, and imagination shape our world. From kids to grandparents, everyone can find something to spark their mind here.

In this episode (Ep. 5): Join Prashanth to explore how a 19th-century mathematician’s equations, modern sensors, and artificial intelligence work together to predict and prevent the world’s most dangerous crashes. Discover how science, data, and design quietly protect millions of lives every day.

Sources:

• 1. AI-Based Model Can Help Traffic Engineers Predict Future Crashes
     Johns Hopkins University Researchers, Nature Communications, 2025
     https://techxplore.com/news/2025-10-ai-based-traffic-future-sites.html

  2. Simulation Crash Testing: Enhancing Automotive Design
     Neural Concept Blog, 2018
     https://www.neuralconcept.com/post/simulation-crash-testing-enhancing-automotive-design

  3. Nexar’s Open Dataset and Crash Prediction Challenge
     Nexar Blog, 2025
     https://data.getnexar.com/blog/nexars-open-dataset-and-crash-prediction-challenge-pushing-the-boundaries-of-ai-driven-road-safety/

  4. Augustin-Louis Cauchy - Biography and Mathematical Legacy
     MacTutor History of Mathematics Archive, University of St Andrews, 2017
     https://mathshistory.st-andrews.ac.uk/Biographies/Cauchy/

  5. NHTSA Vehicle Safety Ratings
     National Highway Traffic Safety Administration, USA, 2025
     https://www.nhtsa.gov/ratings

  6. Euro NCAP Safety Ratings
     European New Car Assessment Programme, Ongoing updates
     https://www.euroncap.com/en/ratings-rewards/latest-safety-ratings/