AI can write useful code, but it can also produce unusable garbage. Here's my advice on making the most of AI from my many adventures in coding.

Hessian-vector product approximation with finite difference method when the 2nd order derivative is unavailable. The closure should return a loss or an iterator with its first element as the loss.

Abstract: This article is concerned with the multiagent optimization problem. A distributed randomized gradient-free mirror descent (DRGFMD) method is developed by introducing a randomized ...

Despite their key role, individual functions of the SLC superfamily members ... Due to the limited coverage of the targeted metabolomics method, we assessed its potential bias towards certain SLCs and ...

This project is the first step into AI and Machine Learning under 42 curriculum at Hive Helsinki. Basic machine learning algorithm and program that predicts the price of a car by using a linear ...

The proposed algorithm is built on our previous framework of the iteratively preconditioned gradient-descent (IPG) algorithm. IPG utilized Richardson iteration to update a preconditioner matrix that ...