When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...

Scale AI—which helps companies like ChatGPT improve the data that feeds their systems—is pictured on a laptop in New York on Aug. 16, 2023. On TikTok, Reddit, and elsewhere, posts are popping up from ...

Elon Musk’s A.I. firm is scaling back on “generalist A.I. tutors.” Allison Robbert/POOL/AFP via Getty Images Data annotation may not be the most glamorous job in Silicon Valley, but it’s indispensable ...

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Before we dive deeper, let’s answer the question: what is data annotation? Data annotation helps us to label data for its further usage by ML models. With labeled data, machines can better understand ...

MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

After waves of user requests, annotations are finally back in Google Analytics and GA4’s version is more useful than ever. Whether you manage analytics for a brand, agency or client, annotations are ...