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 understanding of programming concepts (variables, loops, functions), Familiarity with […]
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, Linux/Unix skills, experience with C or C++ This short course […]
Dr. Aaro Järvinen is a senior scientist in the Fusion Energy research group at the VTT Technical Research Centre of Finland. He is also a visiting scientist in the EUROfusion Advanced Computing Hub at the University of Helsinki, an Academy Research Fellow of the Research Council of Finland, and an ITER Science Fellow. He obtained […]
Blocker 220 and ZoomMeeting ID: 990 4606 0966Passcode: 609430 Dr. JungHyun Han, Professor of the Computer Science Department, Korea University In this seminar, Prof. Han will present two projects which his students are working on. His lab is developing a mobile AR system for visualizing airflow and temperature changes made by air conditioners, where 3D […]
Are you interested in pursuing a master’s in data science? The Master of Science in Data Science (MSDS) program will prepare you for a variety of career options including consulting agencies, financial services firms, government agencies, healthcare and pharmaceutical companies, marketing services, and more. We will be hosting an info session to answer all of […]
The Texas A&M High Performance Research Computing (HPRC) group is hosting the GenCyber Cybersecurity Camp on January 6th! This virtual, one-day event is led by computer science professionals and is open to students who are currently in 7th through 11th grade. There’s still time to register, so click the link below to get started!
Are you a Data Science, AI, or Cybersecurity student looking for an internship or post-grad position? TAMIDS will be hosting a networking social on Wednesday, January 22nd! This is a great opportunity to speak with companies and organizations in your field and network with industry professionals looking for talented students in data science, AI, and cybersecurity. […]
Kai-Cheng Yang is a postdoctoral researcher at Northeastern University’s Network Science Institute. He obtained his Ph.D. in Informatics from the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. His research focuses on creating safe, fair, and trustworthy online information platforms by identifying how malicious actors and flawed systems distort information flow and […]
Event Organizer: Suparno Bhattacharyya, Assistant Research Scientist, TAMIDS The TAMIDS Digital Twins Lab is hosting a virtual workshop with a presentation by Dr. Ján Drgoňa, an incoming associate research professor in the Johns Hopkins University Department of Civil and Systems Engineering. His current research is focused on differentiable programming for scientific machine learning, constrained optimization, […]
AI has an exceptional range of uses in the research process including summarizing documents, finding similar papers, and identifying key points of a body of text. This workshop is for anyone who wants to explore using AI to streamline their search process and synthesize information when conducting a Literature Review. This workshop will introduce tools […]
Join us for weekly coffee chats to learn about the exciting intersection of Data Science, AI/ML, Digital Twina (DTs), and Large Language Moldes (LLMs) in Nuclear Engineering! This event is for NUEN Students interested in learning and incorporating data science into their research or capstone projects and NUEN professionals curious about Data Science, AI/ML, DTs, […]
We introduce DeepSets Operator Networks (DeepOSets), an efficient, non-autoregressive neural network architecture for in-context learning of permutation-invariant operators. DeepOSets combines the operator learning capabilities of Deep Operator Networks (DeepONets) with the set learning capabilities of DeepSets.
