For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

The gap between human and AI performance on database tasks will shrink over time, but more complex problems will still ...

When you eliminate the dependency on local storage, the database becomes an active, real-time engine, not just a place to ...

AI could "give the scientific community a way to address the most difficult and urgent questions in human health," argues ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.

The shift from slow, trial-and-error experimentation to data-driven discovery is reshaping how we develop energy materials. A ...

Modern data analytics and AI infrastructure depend on one simple truth: useful data must move fast, stay available, and ...

One moment, a tech company had a functioning production database and intact backups. Fewer than ten seconds later, it had ...

At its core, GPT-Rosalind is the first in a new series of models optimized for scientific workflows. While previous iterations of GPT excelled at general language tasks, this model is fine-tuned for ...

EnterpriseDB (EDB), the leading sovereign AI and data company, is releasing a suite of validated performance efficiencies within EDB Postgres AI (EDB PG AI), designed to drastically reduce data center ...

Heart failure presents a growing public health problem both in Estonia and across Europe. At the same time, its timely detection is often challenging. Together with international colleagues, Laura Lõo ...