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Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...
A team has created an application called PartCrafter that creates 3D models, in single or multiple parts, using AI based on 2D images for input.
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect language to 3D spaces. The study, led by University of Michigan researchers ...
Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...
This paper presents disccofan (DIStributed Connected COmponent Filtering and ANalysis), a new method that extends the previous 2D implementation of the Distributed Component Forests (DCFs) to handle ...
This paper proposes a reversible data hiding algorithm for 3D mesh models. The steep histogram is dynamically constructed to avoid introducing additional model distortion due to excessive movement of ...
Also checkout this great introduction to modern 3D data processing that features Open3D: 3D Data Science with Python by Dr. Florent Poux From the author: Throughout the book, I showcase how Open3D ...
Learn how to use Python in Excel for data analysis, combining powerful plots and libraries with Excel's formulas and tables in a secure, efficient environment.
Join 10,000+ vision professionals driving innovation in automation, AI and imaging with: ...