Most distributed caches force a choice: serialise everything as blobs and pull more data than you need or map your data into a fixed set of cached data types. This video shows how ScaleOut Active ...

Starcloud becomes the fastest Y Combinator startup to reach unicorn status, just 17 months after demo day.

For banks, investment funds, payment services, and fintech startups, control over who and how data is used, its secure storage, and minimizing ...

Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...

Oklahoma does not need to choose between the growth of data centers and public benefit. It can demand both.

The power density and scale of AI computing deployments are changing every aspect of how data centers are designed and operated. For decades, data centers had total IT loads ...

The company turns footage from robots into structured, searchable datasets with a deep learning model.

Over the past decade, the spotlight in the online travel industry has largely focused on consumer-facing OTAs; yet behind ...

Today, however, the decisive edge can be found in the ability to move, fuse, and act on data faster and more securely than any adversary. This evolution was first observed with the emergence of ...

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...