Gemini Diffusion is also useful for tasks such as refactoring code, adding new features to applications, or converting an existing codebase to a different language.

Across China’s west, the party is placing children in boarding schools in a drive to assimilate a generation of Tibetans into the national mainstream and mold them into citizens loyal to the ...

For the design of continuous multicolumn processes like multicolumn countercurrent solvent gradient purification (MCSGP), the ... variable-order solver (ode15s) in an in-house Matlab (MathWorks) code.

This method employs a gradient-free mechanism to learn a library of reusable functions by refactoring existing code. Refactoring, in this context, means altering the structure of the code without ...

Abstract: Gradient coding is a technique for straggler mitigation in distributed learning. In this paper we design novel gradient codes using tools from classical coding theory, namely, cyclic MDS ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

DistMesh is a simple MATLAB and GNU Octave code for automatic generation of unstructured ... if a point is located in or outside of the geometry. Moreover, the gradient of the distance function points ...