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 ...

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 ...

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 ...

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, ...

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Autonomous vehicles rely on high-quality data annotation to train AI/ML models for safe and intelligent driving. This blog explores how sensor data from cameras, LiDAR, and radar is annotated using ...

Why it matters: Accurate labeling sets the ceiling for AI performance, and even advanced algorithms fail without high-quality annotated data. How it’s done: Annotation covers text, images, audio, and ...

Take advantage of data annotations to decorate your models using attribute tags so that your application’s data definition can be managed in a single place. Data annotations (available as part of the ...