Oct. 13, 2025
Protecting global chip supply chains from cyber threats
University of Missouri researchers use artificial intelligence to detect hidden hardware trojans through a method that’s 97% accurate.
Sep. 26, 2025
Drones can more efficiently measure the health of corn plants, study finds
Mizzou researchers are getting a drone’s-eye view of corn stalks to help farmers better manage their crops through precision agriculture.
Sep. 3, 2025
Mizzou at the forefront of using hydrogen energy safely
A new super-sensitive sensor created at Mizzou can quickly detect hydrogen gas, helping prevent accidents and protect the environment.
July 30, 2025
Shining UV light on the future of computer chips
A recent study from the University of Missouri could help scientists and engineers build faster, cheaper and more eco-friendly electronics.
July 29, 2025
Opening a new chapter in sustainable lighting technologies
New materials set the stage for more efficient lighting, cleaner solar energy systems and even compact LEDs for wearable medical devices.
July 28, 2025
Using AI to improve energy efficiency for campuses nationwide
Mizzou Engineering researchers harness machine learning to transform energy management at large universities.
May 28, 2025
New AI tool reveals single-cell structure of chromosomes in 3D
A breakthrough at Mizzou Engineering could help scientists better understand how genes work — and how certain types of cancer develop.
May 21, 2025
Study explores how to use AI to listen to the ‘heartbeat’ of a city
Mizzou researchers develop an artificial intelligence tool that analyzes public Instagram posts to aid city safety, services and emergency response.
May 1, 2025
Mizzou Engineering researcher receives international acclaim for landmark paper
Dominic Ho was awarded the IEEE Signal Processing Society’s prestigious Sustained Impact Paper for his study on signal localization.
April 2, 2025
Scientists unveil starfish-inspired wearable tech for heart monitoring
Mizzou researchers' device includes AI technology to detect potential heart problems with over 90% accuracy.