Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...

Back in January, we published a post about the retirement of ingress-nginx and laid out what that means for teams still running it. We also gave a CNCF CloudNative Live talk a couple of years ago that ...

After several examples of undisclosed alterations in reagent suppliers’ antibody catalogues surfaced, researchers call for ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

WHAT: The U.S. General Services Administration (GSA) has published a second draft of the proposed GSAR 552.239-7001 clause that is aimed ...

Welcome to CalMatters, the only nonprofit newsroom devoted solely to covering issues that affect all Californians. Sign up for WhatMatters to receive the latest news and commentary on the most ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

MetaWRAP aims to be an easy-to-use metagenomic wrapper suite that accomplishes the core tasks of metagenomic analysis from start to finish: read quality control, assembly, visualization, taxonomic ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Abstract: A central theme in learning from image data is to develop appropriate representations for the specific task at hand. Thus, a practical challenge is to determine what features are appropriate ...