This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

Are you ready to take your research beyond the lab and turn it into a scalable venture? We are excited to announce the launch of the NVD–WCE AI Entrepreneurship Training Program – Spring 2026, a free, ...

We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...