Software engineering has traditionally been about complex code and long development cycles. But things are changing now. Artificial intelligence (AI) and no-code solutions transform application ...

As machines become more capable, it's becoming widely accepted that many of these roles will at least be augmented by AI.

The integration of machine learning into the simulation workflow represents another significant advancement. AI-based methods can accelerate simulation by training models on existing results, allowing ...

A PyPI package is not yet available. Just download and extract the zip package offered here. The zip package also includes some example files (as plain Python files and as Jupyter notebooks) ...

A drag-and-drop interface allows customers to assemble automation workflows from pre-packaged software components. It’s touted as a simpler alternative to the existing automation technologies on ...

Abstract: PyDas is a set of Python modules that are used to integrate various components of the SNS DAS system. It enables customized automation of neutron scattering experiments in a rapid and ...

Generative AI initially gained traction in areas like coding and task-based productivity, but it is now evolving into a broader workflow automation model, with the agentic paradigm emerging as a ...

At Box, CEO and co-founder Aaron Levie expects the company to use AI to eliminate tasks that clog up people’s workflows, automate more so that the company can reinvest savings to achieve more ...

It can leverage Pega Blueprint to design new workflows on the fly where automation doesn’t yet exist – all with human governance built in. Users engage with these agents on their preferred ...