A novel image-based deep learning approach achieves high accuracy and interpretability, offering potential for clinical ...

Now, synthetic data isn’t a magical process. We can’t start with just a few poor-quality data points and expect to have a miraculous high-quality synthetic dataset from our model.

Tabular, the data platform from the creators of Apache Iceberg, closed a $26M funding round, and added Google Cloud and AWS Athena support.

Once you train a machine learning model on training examples—whether it’s on images, audio, raw text, or tabular data—what you get is a set of numerical parameters.

The tabular model gets a power boost from another feature available in newer versions of SQL Server: in-memory processing. Storing data in high-speed memory enables companies to query and explore data ...

Startup Tabular Technologies Inc., creator of an independent data platform based on the open-source Apache Iceberg data lake software, said today it has closed on a $26 million round of funding.