AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...

Semantic layers break silos and establishes a single source of truth, while greatly simplifying interaction with complex data ...

Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the ...

Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...

Every time we open ChatGPT, Claude, or Gemini, we start from zero. Each conversation, each prompt, each insight erased the ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Training large AI models has become one of the biggest challenges in modern computing—not just because of complexity, but because of cost, power use, and wasted resources. A new research paper from ...

The Rubin GPU boasts five times more AI training compute power than Blackwell. The Rubin GPU boasts five times more AI training compute power than Blackwell. is a news writer covering all things ...

From the laptops on your desk to satellites in space and AI that seems to be everywhere, I cover many topics at PCMag. I've covered PCs and technology products for over 15 years at PCMag and other ...

The fundamental paradox of psychotherapy—and indeed of human development itself—concerns how sufficient continuity of self can be conserved across radical transformation. When does someone change ...

DeepSeek published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial intelligence industry’s effort to compete with the likes of OpenAI despite a lack ...