AI automation should not be a race to automate everything or to target workflows with the largest potential payoff.

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource efficiency and cost improvement.

The success of GenAI initiatives is increasingly tied to the strength of enterprise data foundations. In this exclusive conversation, Krish Vitaldevara, Chief product Officer, EVP at Informatica, ...

Twist Bioscience and Element Biosciences have introduced the Trinity Freestyle Fast Hybridization workflow for Element’s AVITI™ sequencing platforms.

Welcome to the MAIT repository! This pipeline, implemented in Python, is designed to streamline your machine learning workflows using Jupyter Notebooks. It is compatible with both Windows and Linux ...

CellDiff is an R package that extends the functionality of CellChat by providing specialized tools for differential cell-cell communication analysis between multiple conditions. While CellChat enables ...