Dr. Tami Brown-Brandl is a professor from the University of Nebraska-Lincoln whose research program focuses on engineering approaches to improve animal well-being and production efficiency. Her most recent work in precision animal management applies technology directly to the animals’ environment to aid in management and guide engineering decisions. Join us for her seminar, “Precision Livestock […]
Location: Emerging Technologies Building TAMIDS is sponsoring the Aggie AI Society’s Case Competition which starts on September 28, 2024. This “Ethics in AI” Case Competition is an event to foster a collaborative environment for students passionate about the intersection of artificial intelligence (AI) and ethics. All students are welcome to participate to form interdisciplinary teams. […]
H. V. Jagadish is Edgar F Codd Distinguished University Professor at the University of Michigan in Ann Arbor and Director of the Michigan Institute for Data and AI in Society. Prior to 1999, he was Head of the Database Research Department at AT&T Labs, Florham Park, NJ. Professor Jagadish is well known for his broad-ranging […]
Dr. Sambandh Dhal, Artificial Intelligence – Augmented Sorting Postdoctoral Research Fellow, Idaho National Laboratory Dr. Dhal is an expert in applied machine learning in precision agriculture and completed his Ph.D. in Computer Engineering at Texas A&M. Join us for his presentation “Precision Plant Biomass Characterization in Agriculture: Harnessing Machine Learning and Hyperspectral Imaging” on Friday, […]
Join us for a FREE one-day learning workshop that delves into the fascinating world of generative AI, with a special focus on large language models. This comprehensive event will start with an exploration of the history, theory, and evolution of generative AI, providing participants with a solid foundation in machine learning, neural networks, and natural […]
Dr. Yichun Xie is the Director of the Institute for Geospatial Research and Education at Eastern Michigan University. He has long been engaged in geographic information science and urban modeling research, including spatiotemporal modeling of urban growth, total socio-environmental systems (TSES), coupled impacts of human dynamics and environmental changes on ecosystem sustainability, and land-use and […]
Applications of AI for Anomaly Detection Saturday, October 19 | 11 am – 3 pm | REC Room 1132Instructor: Haoyu Niu, Research Engineer, Texas A&M Institute of Data Science Learn how to implement multiple AI-based approaches to solve a specific use case of identifying network intrusions for telecommunications.
Dr. Sarker is an Associate Professor and the Vice Chair for Research at the Department of Biomedical Informatics, School of Medicine, Emory University. He leads several large-scale projects focusing on the application of NLP for health-related tasks, particularly those involving vulnerable populations such as people with substance use disorders, victims of intimate partner violence, and […]
Dr. Retchless received his Ph.D. in Geography from Pennsylvania State University in 2015 and is an Associate Professor in the Department of Marine & Coastal Environmental Science at Texas A&M University at Galveston. His research foci include communicating climate change and coastal hazards, geospatial tool design and evaluation, and geospatial analysis of coastal and marine change. He has […]
Lorefest is an annual festival hosted by the College of Performance, Visualization, & Fine Arts that combines scholarly research and creative practice inspired by folklore. It brings together the Texas A&M student body, their family and friends, and local Bryan/College Station communities, culminating in a five-day event in late October/early November. Lorefest also includes a […]
Texas A&M High Performance Research Computing (HPRC) is offering introductory short courses featuring the ACES cluster (Accelerating Computing for Emerging Science). These short courses are offered free of charge and are available to anyone with a current ACCESS ID. Registration is required. Prerequisites: Active ACCESS ID, basic Linux/Unix skills, and basic familiarity with NGS techniques/terminology This […]
Learn the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®.Instructor: Jian Tao, Assistant Professor, School of Performance, Visualization & Fine Arts
