
Computer Science and Engineering
Texas A&M Professor Receives NSF Grant To Study AI-Powered Data Compression
Aug. 14, 2023 • 3 min. readA new research project will explore the unprecedented tools and processes now available through machine learning.
The director of Texas A&M’s Smart Grid Center says he’s optimistic about the grid’s reliability as temperatures rise, but says we need to stay diligent to changing conditions.
A Texas A&M professor is part of an international research project working to develop a standard framework for fast and accurate automatic neuron reconstruction.
We Asked Four Texas A&M Professors About The Future Of AI. Here’s What They Said.
March 2, 2023 • 8 min. readFrom engineering to the humanities, experts agree that artificial intelligence technology is here to stay. But how can we maximize its benefits while avoiding ethical pitfalls and unintended consequences?
New Class Explores Technical And Economic Foundations Of Bitcoin
Jan. 20, 2023 • 3 min. readStudents in the unique class are having hands-on experiences with the cryptocurrency, including learning to code.
Ballot Integrity Research Supported By $1.2 Million NSF Grant
Sep. 1, 2022 • 2 min. readA Texas A&M researcher will lead a team studying the robustness and security of traditional election systems that scan and process hand-marked paper ballots.
$4.8 Million Biometrics Project To Use Human Breath, AI To Detect Fatigue
Aug. 10, 2022 • 3 min. readTexas A&M and Arizona State University researchers will develop artificial intelligence algorithms to predict fatigue states using human breath.
Researchers To Enhance Security Of Next-Generation Wireless Systems
July 14, 2022 • 3 min. readThe National Science Foundation awarded a $1 million grant to a Texas A&M team.
Texas A&M researchers have identified the properties needed to prove that bitcoin and other related cryptographic protocols are secure and safe to use.
New Methods Could Improve Security Of Two-Factor Authentication Systems
April 15, 2022 • 6 min. readTexas A&M researchers have designed mechanisms to counter the vulnerabilities in push-notification based systems.