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 […]
This workshop will further develop the material covered on spatial databases in the first workshop a few weeks back. PostGIS is the most widely used spatial database and is built on top of PostgreSQL, a powerful open source relational database. The focus of this workshop is to exploit PostGIS to deal with big vector data, […]
This workshop will further develop the material covered on mapping in the first workshop a few weeks back. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality bi-variate static and dynamic choropleth maps. We will also explore the functionalities of leaflet, a powerful library, […]
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.
OVERVIEW This workshop is designed as a follow-up to the basic introduction to machine learning earlier in this series. We will cover several examples in Python and compare different implementations. We will also look at advanced topics in machine learning, such as GPU optimization, parallel processing, and deep learning. A basic understanding of Python is […]
Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage, both internally in your teams and for public code projects available to other researchers. This workshop will cover […]
Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors, and allow scientists to test different models to guide real-world research. However, these can be individually complex, and written in different computer languages and programs. It's a difficult task to combine simulators from different parts […]