Meta plans to layoff 8,000 employees as AI spending surges, reflecting a wider tech industry shift toward infrastructure over ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

This week, someone posted a variation of their weekly query on Reddit: “I got an email about a data annotation job paying $25 ...

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

In the past 18 months, the FDA has outlined clear guidelines for designing, documenting, updating, and monitoring AI-powered ...

With the timsTOF Ultra, researchers can now dive into single-cell metabolomics in plants, offering a clearer, more detailed look at how alkaloids are made and where they’re coming from.

A Critical Look at AI Model Testing and the Risk of Overstated Abilities Recent findings from a new peer-reviewed study ...

In the pursuit of powering artificial intelligence (AI) and the race to come out on top, data has become the new oil.

Enterprise AI deployment increasingly operates under strict governance constraints, where privacy regulation, data provenance ...

In production environments, AI systems are judged by operational reliability, regulatory exposure, and sustained performance, not by how quickly they can be pro ...

A Google study finds that the standard three to five human raters per test example often aren't enough for reliable AI benchmarks, and that splitting your annotation budget the right way matters just ...

Abstract: Annotated datasets are critical for training high-performance audio models, yet manual annotation remains labor-intensive and costly. While Active Learning (AL) is proposed to annotate ...