The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
Whether infection of cells by individual virions occurs randomly or if there is some form (s) of competition or cooperativity between individual virions remains largely unknown for most virus-cell ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
In this session we will use Pandas to manipulate and pivot our BQL data, then Plotly to create our heatmap. Kathleen is a Solutions Developer at Bloomberg, where she helps clients leverage Bloomberg’s ...
Distinguished artist Sarah Nance will visit Dickinson to deliver a talk about her most recent work. The lecture, “Mirages and Archived Landscapes,” will be held on Tuesday, Oct. 14, at 7 p.m. in the ...
Abstract: Models for egocentric 3D and 4D reconstruction, including few-shot interpolation and extrapolation settings, can benefit from having images from exocentric viewpoints as supervision signals.
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Abstract: Autonomous navigation of robots has entered an era of robustness. Therefore, the demand for stable navigation in extreme environments is increasing. 4D millimeter-wave radar has a strong ...
This script retrieves the International Space Station's (ISS) live position using a public API and generates a KML file to visualize its trajectory in Google Earth, combining Python programming, API ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Discover how to accelerate Python data science workflows using GPU-accelerated libraries like cuDF, cuML, and cuGraph for faster data processing and model training. Python's popularity in data science ...
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