Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...

The value of digital data of all types has always been important, but with the growth of today’s AI models and the data centers that support them, the need for data has exploded. This is an important ...

In Texas, a new kind of reliability standard is reshaping where data centers choose to build and how they power their operations. Under a “kill switch” law that was adopted earlier this year, ...

Tigris Data Inc., the operator of an object storage service optimized for artificial intelligence workloads, has raised $25 million in early-stage funding. The company said in its announcement of the ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...

The average enterprise today is buried under a mountain of documents, photos, models, spreadsheets, slide decks and videos. A global energy firm with 50,000 employees spread across 48 different ...

Storing data in the cloud does not automatically make it safe. The infrastructure is physical and vulnerable to attacks, failures and human error. Cloud providers ...

The enterprise data storage world is undergoing a transformation as IT vendors rethink how their offerings handle both the volume and complexity of artificial ...