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Researchers map the architecture of autonomous AI agents

A new review in Artificial Intelligence Review synthesizes 107 studies to define a unified five-module architecture for autonomous agents. The framework includes profile, memory, planning, action, and security components to standardize how these systems are described. The authors found that integrating domain knowledge and using role specialization significantly improves agent performance across various applications. However,…

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MIT researchers develop self-assembling neural networks

A team from MIT demonstrated that neural networks can form useful learning circuits from random connections using local plasticity rules. The study, published in the Proceedings of the National Academy of Sciences, introduces a framework called Self-Assembling Learning. The resulting networks achieved performance similar to those trained with backpropagation on image classification tasks. This approach…

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