Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

Debuting in Asus’ exciting 16-inch Zenbook A16, Qualcomm's 2026 flagship processor looks like a benchmark bombshell ready to ...

Key factors driving this growth include the increasing need to lower drug development costs and timelines, the rising ...

Artificial intelligence is no longer just a lab experiment. It’s quietly becoming part of everyday software, helping developers write code, assisting analysts with research, and powering tools inside ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

MCP registries are emerging as the new integration catalog for AI agents. Building one for the enterprise requires semantic discovery, strong governance, and developer-friendly controls.

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.

Here is a sneak peek at the AI content in EDA and how it comprises four camps, all missing the real opportunity.

AI does not need to become self-aware to create serious danger. The real risk comes from access, autonomy, poor goal setting, ...