Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Those labeled data sets are important because they provide “ground truths” which algorithms can learn from. There are some ways to build AI that don’t require labeled data sets, but largely ...

Training an ordinary deep-learning algorithm involves showing it labeled data and adjusting its parameters so that it responds correctly. In the case of an image classification algorithm ...

In this interview Cabildo shares how better data leads to better models, why decentralization matters for equity, and how ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

The algorithm can use examples of atrial fibrillation ... you could find these relationships with only a few examples of labeled data, freeing up time for doctors to see patients and reducing ...