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Dun and Bradstreet Risk Analytics - Supplier Intelligence
Use an AI-powered solution for supply and compliance teams who want to mitigate costly supplier risks intelligently.
Risk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
BRL-CAD is a powerful cross-platform constructive solid geometry solid modeling system that includes an interactive geometry editor, ray-tracing for rendering & geometric analyses, network distributed framebuffer support, image & signal-processing tools.
LDraw™ editor for LEGO® style digital building instructions.
LPub3D is an Open Source WYSIWYG editing application for creating
LEGO® style digital building instructions. LPub3D is developed and
maintained by Trevor SANDY. It uses the LDraw™ parts library, the
most comprehensive library of digital Open Source LEGO® bricks
available (www.ldraw.org/ ) and reads the LDraw LDR and MPD model
file formats. LPub3D is available for free under the GNU Public License v3
and runs on Windows, Linux and macOS Operating Systems.
LPub3D is also...
A test suite and benchmark for exact Euclidean distance transform algorithms
used in ImageProcessing and computational geometry. It evaluates the
exactness and speed of algorithms for a large number of test
cases. Results can be visualized in Scilab.