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Enables AI systems to evolve and optimize neural network architectures through self-constructing meta-agents that adapt to different problem domains using Tenso
The Neuro-Symbolic Autonomy Framework integrates neural, symbolic, and autonomous learning methods into a single, continuously evolving AI agent-building system