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.
Premium Small-Group Online Workshop Build real AI Agents from real industry workflows. ​This premium small-group, hands-on ...
The primary condition for use is the technical readiness of an organization’s hardware and sandbox environment.
Artificial intelligence has become one of the most discussed technologies in state and local government. Yet for many public-sector leaders, the challenge is no longer whether to adopt AI, but how to ...
Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Generative artificial intelligence (GenAI) can power chatbots and ...
Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.
Adoption of agentic AI is likely to increase by 2026. Gartner has predicted that agentic AI adoption will soar to nearly 40%, driving more than $450 billion in value by 2035. This projection ...
The new offering gives firms scrubbed, mapped municipal data to support AI-driven credit analysis, trading, and ...
As healthcare organizations look to leverage agentic artificial intelligence technologies, Wolters Kluwer Health is developing the foundational capabilities to support AI agents for medication ...
Want to run powerful AI models without cloud fees or privacy risks? Tiiny AI Pocket Lab packs a massive 80GB of RAM for ...