The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

This repository contains the implementation of an optimized university timetabling system using Integer Linear Programming (ILP ... approaches by combining ILP with heuristic/metaheuristic algorithms ...

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

Then we analyzed the reason of good and bad performance of different GEP algorithms based on expression space theory. We also proposed a new Adaptive multi-phenotype gene expression programming (AMGEP ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...