Click the "Fork" button at the top of this page This creates your own copy at: github.com/YOUR_USERNAME/production-ready-data-science-code Clone your fork: ...
Abstract: Twin support vector machine (TSVM) is an emerging machine learning model with versatile applicability in classification and regression endeavors. Nevertheless, TSVM confronts noteworthy ...
Jonathan Wosen is STAT’s West Coast biotech & life sciences reporter. You can reach Jonathan on Signal at jwosen.27. Megan Molteni reports on discoveries from the frontiers of genomic medicine, ...
The Drosophila Gateway™ Vector collection is a set of 68 Gateway-based vectors designed to express epitope-tagged proteins in Drosophila culture cells or flies. At its core is Invitrogen's Gateway™ ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Artificial intelligence (AI) agents are a breeze to create using Microsoft Copilot Studio, and almost just as easy to manipulate into divulging sensitive corporate data. Despite broad security ...
A Discrete Function (DF) Method for Highly Efficient Magnetization Vector Inversion of Magnetic Data
Abstract: The three-direction magnetization intensities of a source can be obtained by the magnetization vector inversion (MVI) of magnetic data, and therefore, MVI can be well applied to a magnetic ...
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