Lilly is opening up its proprietary AI models to biotech companies that want to use them to jumpstart their science.

The 2025 Bioprocessing Summit revealed knowledge gaps and changing mindsets. As some companies look towards the future, ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

NEW YORK, NY / ACCESS Newswire / September 4, 2025 / Digital Power Optimization, Inc. (“DPO”), a developer at the ...

NEW HAVEN, CT / ACCESS Newswire / September 4, 2025 / Revalia Bio Inc., announced a 14.5M seed funding round to support their ...

For small scale machine learning model development activities, data science notebooks can provide most of what is needed without having to invest further in larger scale machine learning platforms.

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.