ANNA REDGRAVE, GRADUATE STUDENT, ECOLOGY AND EVOLUTIONARY BIOLOGY & SCIENTIFIC COMPUTING Bio: Anna Redgrave began her science career as an undergrad, master's student, and lab technician studying developmental biology in zebrafish. She became fascinated by how complicated developmental systems are, and joined the Wittkopp lab at U-M for her PhD to investigate one mechanism of […]
A BAYESIAN APPROACH TO ARTIFICIAL NEURAL NETWORKS
VISHWAS GOEL, GRADUATE STUDENT, MATERIALS SCIENCE AND ENGINEERING & SCIENTIFIC COMPUTING Bio: Vishwas is a third year Ph.D. student in the Thornton group, Department of Materials Science and Engineering. His research involves the simulations of the continuum level or microstructure level electrochemical dynamics of energy conversion/storage devices such as batteries, fuel cells, etc. SIMULATION OF […]
PROBING THE CORES OF MASSIVE STARS THROUGH THEIR SURFACE
CHANESE FORTE, GRADUATE STUDENT, ENVIRONMENTAL HEALTH SCIENCES & SCIENTIFIC COMPUTING Bio: Chanese is a Dual PhD student pursuing a degree in the Environmental Health Sciences and Scientific Computing. Chanese’s research interests lie in chemical exposure in agriculture workers and cellular alteration. ASCERTAINING PESTICIDE EXPOSURE AND BIOACTIVITY USING OPEN SOURCE DATA: Pesticides are known to be […]
NVIDIA has their GTC technical conference April 12-16. It is free to attend and all online so no travel. Making you aware of this opportunity to hear from a global community of developers, researchers, engineers, and innovators who are delivering over a 1000 sessions, interactive panels, demos, and research posters. Registration is now open and the session […]
Like many image processing problems, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project, and it offers well-established and successful methods for object detection (as well as many other problems). This workshop will demonstrate the process of preparing your own image dataset and […]
Black Hole Imaging: First Results and Future Vision
This virtual symposium will bring together researchers from the State of Michigan to share their past and future insights into the pandemic.
Leveraging modeling hierarchies in the Exascale era: applications to combustion technologies