LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Internal reports have emerged that learning data workers hired to make AI (artificial intelligence) smarter are using AI ...

Abstract: In this letter, we propose a Gaussian mixture model (GMM)-based channel estimator which is learned on imperfect training data, i.e., the training data are solely comprised of noisy and ...

Abstract: Most computer vision applications that use deep learning on constrained device come from the Internet of Things (IoT) or robotics fields, where low-quality cameras are used to capture input ...

Robots on factory floors may soon be able to learn precise assembly tasks from a single demonstration by a human worker, ...

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

Story Protocol is dead. Long live DATA Foundation — and the rebrand isn’t just cosmetic. The organization has repositioned ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Today, Story announces a strategic transition to become The DATA Foundation (“DATA”) and launches Trace, an onchain registry ...

As hospitals move from AI experimentation to enterprise deployment, many are discovering that fragmented, poorly governed ...