At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Oracle is now offering Oracle Database@Google Cloud to customers in Canada, customers can now run Oracle Exadata Database Service on Dedicated Infrastructure, Oracle Autonomous AI Database, and Oracle ...

A study published in the journal Ornithological Applications shows how conservation organizations are using data from ...

In a CiOL interaction, Superteams.ai Founder Soum Paul breaks down enterprise AI adoption, fractional AI teams, governance ...

A multinational team revises the SOFA score to reflect modern organ support, validates it across diverse ICUs, and guides ...

New data challenges AI job-loss fears: roles exposed to AI show faster wage and job growth, suggesting AI is reshaping—rather ...

“What I see is spreadsheets aren’t going away. BI tools aren’t going away. There’s over a billion active users of Excel,” ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

NIS2 is in effect and the to-do list for CISOs is exploding. The frequent result: unclear requirements, a huge documentation ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Agentic AI is being adopted fast by enterprises, propelled by an explosion of use cases, but security, as always, is lagging.

From floods and forest fires to earthquakes—the frequency and intensity of natural disasters is increasing. This also means ...