Leaders often struggle to assess whether their employees are using AI successfully. Often, they default to measuring what’s easily observable: how much they’re using AI tools. To get a clearer picture ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...

Understand the impact of AI coding on scientific workflows and how it can make computational tools more accessible to researchers.

Many people who try using AI are disappointed with the results and feel they can’t trust a machine – but are there lessons we can learn from how AI is taking on mathematics?

New platform enables organizations to train AI models on proprietary data, but analysts say adoption may be limited in the near term.

MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Generative AI has quickly moved from novelty to infrastructure-like ubiquitousness in education. Faculty and students now routinely use large language models (LLMs) to brainstorm research questions, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Sex machines can look intimidating at first. Big, loud, complicated, and a little like something you’re only supposed to understand if you’re a pro or a porn star. Feeling curious and nervous at the ...