In the rapidly evolving landscape of enterprise technology, a quiet revolution is unfolding where monolithic enterprise ...

Get ready for 2026 with these essential AI skills for prompting, boosting output quality and cutting time at work.

The AI landscape has moved beyond the "conversational" era, defined by human-to-machine dialogue, into the "agentic" era, ...

In a recent viral video the founder and CEO of EngineAI stood in front of a T800 humanoid robot in protective gear and … took a full-on kick to the stomach.

Software-defined vehicles spur collaboration, disruption, and much more code; Lava Lamp entropy; AI for PHYs; fall detection; water risk.

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

AI systems began a major shift in 2025 from content creators and chatbots to agents capable of using other software tools and ...