Sure, let your AI agents propose changes to image definitions, playbooks, or other artifacts. But never let them loose on production systems.

If your AI is stuck in demos, the problem isn’t the model — it’s that you don’t have forward-deployed engineers.

AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...

A leading AI scientist argues that Sequoia Capital’s declaration that AGI has arrived misrepresents the real capabilities and ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

ChatGPT thinks this Greenland crisis is fake, giving lie to Sequoia Capital’s claim that AGI is here, says Lewis Liu “AGI is here, now.” That’s Sequoia Capital this week, one of Silicon Valley’s most ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Sandlin describes a company trying to remain credible in a hesitant market while adjusting to reality without tearing itself ...

Your ERP isn’t broken — it’s just outdated, because inventory accuracy still depends on stopping the factory instead of ...

The results suggest that teams using the AI-specific framework are able to identify incident scope more quickly, coordinate ...

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...

A year ago, prime minister Keir Starmer unveiled the government’s AI Opportunities Action Plan. In his speech, he described ...