'Wood You Believe It?' 麻豆精品视频Engineers Fortify Wood with Nano-Iron
With more than 181.5 billion tons of wood produced globally each year, a research breakthrough using nano-iron could pave the way for eco-friendly alternatives in construction materials, furniture and more.
麻豆精品视频Engineering Lands U.S. DOD Grant for Testing Connected AI Autonomy
The Center for Connected Autonomy and Artificial Intelligence will develop a platform for testing connected AI autonomy, placing 麻豆精品视频as a national leader in next-gen networked AI autonomous systems research.
麻豆精品视频Student Places Second at 3MT庐 Competition
麻豆精品视频's Omair Faqah, a Ph.D. candidate in the College of Engineering and Computer Science, recently took second place in the statewide Three Minute Thesis (3MT庐) Competition.
麻豆精品视频Hosts 56th Annual Honors Convocation
麻豆精品视频 President Adam Hasner and Interim Provost Russell Ivy recently hosted the 56th annual Honors Convocation.
Busted! Engineers Revolutionize Fraud Detection with Machine Learning
A new breakthrough outperforms traditional methods by generating accurate fraud labels from large, imbalanced datasets, reducing cases needing further inspection, crucial for Medicare and credit card fraud.
Engineers Bring Sign Language to 'Life' Using AI
麻豆精品视频engineering researchers have developed an innovative interpretation system using AI, which translates American Sign Language gestures into text in real time with 98.2% accuracy.
麻豆精品视频Ranks Among 2025 Best Graduate Schools in U.S. News
麻豆精品视频 has been ranked among the 2025 Best Graduate Schools by U.S. News & World Report.
麻豆精品视频Secures $1.3M NIH Grant for HIV Self-Test Technology Breakthrough
麻豆精品视频engineering and biomedical researchers are working to meet a critical global health need by developing a reliable, rapid and affordable HIV test for early detection, with an expected cost of under $5.
麻豆精品视频Announces Winners of 2025 'Three Minute Thesis (3MT庐) Competition'
麻豆精品视频 has announced the winners of the ninth annual Three Minute Thesis (3MT庐) Competition hosted by the Graduate College.
AI 'Speaks' Genetic 'Dialect' to Predict Future SARS-CoV-2 Mutations
麻豆精品视频engineering researchers have developed a powerful AI model called Deep Novel Mutation Search that predicts SARS-CoV-2 virus mutations more accurately and efficiently than costly and lengthy lab experiments.