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.

Disclaimer: This episode is crafted with insights researched using AI and personal reflections. While facts are verified with credible sources, the practical tips shared are for general guidance. Listeners are encouraged to adapt them to their own needs.

Sources:

1. ​AI-Based Model Can Help Traffic Engineers Predict Future CrashesJohns Hopkins University Researchers, Nature Communications, 2025https://techxplore.com/news/2025-10-ai-based-traffic-future-sites.html
2. ​Simulation Crash Testing: Enhancing Automotive DesignNeural Concept Blog, 2018https://www.neuralconcept.com/post/simulation-crash-testing-enhancing-automotive-design
3. ​Nexar’s Open Dataset and Crash Prediction ChallengeNexar Blog, 2025https://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 LegacyMacTutor History of Mathematics Archive, University of St Andrews, 2017https://mathshistory.st-andrews.ac.uk/Biographies/Cauchy/
5. ​NHTSA Vehicle Safety RatingsNational Highway Traffic Safety Administration, USA, 2025https://www.nhtsa.gov/ratings
6. ​Euro NCAP Safety RatingsEuropean New Car Assessment Programme, Ongoing updateshttps://www.euroncap.com/en/ratings-rewards/latest-safety-ratings/