In a new study, Texas A&M researchers in the Department of Materials Science and Engineering describe a new material that comes close to mimicking how brain cells perform computations.
Current methods of tracking meals can be difficult to maintain. A Texas A&M team aims to develop algorithms that can predict the macronutrient composition of a meal automatically.
A Texas A&M student entrepreneurship team is designing tools to help clinicians diagnose diabetes-induced vision loss in individuals in rural or underserved communities.