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Abstract: This paper presents a pattern-based neural network (NN) control approach for a class of uncertain nonlinear systems. The approach consists of two phases of identification and another two ...

A code migration agent finishes its run, and the pipeline looks green. But several pieces were never compiled — and it took days to catch. That's not a model failure; that's an agent deciding it was ...

Enterprise AI has made building agents faster than ever. But teaching those agents how your organization works still means feeding knowledge in as documents and custom instructions or standing up a ...

Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI is stochastic and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...

For decades, entrance examinations were viewed simply as gateways to prestige. However, today, they serve a dual purpose: they are not just selection mechanisms but predictive indicators of a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...

AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. AG2 aims to streamline the development and ...

Over the past two years, we’ve all heard a lot about generative AI. But for all of the hype about how it might change the business world, finding concrete examples of what it is doing right now isn’t ...

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