In this context, AI consulting emerges as a bridge between raw technology and business value, helping organizations move from ad hoc experiments to a deliberate, measurable AI strategy. Unlike ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Abstract: With the advent of next-gen DNA sequencing technologies, there has been a massive growth in sequencing data and demand for analysis. The sequence of macromolecules such as DNA, RNA, and ...

In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By combining ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.

ABSTRACT: This study investigates the complex relationships among organizational identification, organizational self-esteem, and employee loyalty among grassroots employees working in small and medium ...

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...

This project provides the align tool, a CLI application that can align the contents of two files on a byte level or based on arbitrary delimiters. The (currently not configurable) scoring function is ...