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SingularClip: Preventing Spectral Collapse to Maintain Plasticity in Continual and Reinforcement Learning
Researchers propose SingularClip, a method to prevent neural network plasticity loss in continual and reinforcement learning by clipping singular values of weight matrices to counter growing anisotropy.
Aug 20, 2026
NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning
A new neural network architecture called NeuMoSync introduces neuron-specific neuromodulatory signals inspired by brain biology to improve plasticity and adaptability in continual learning tasks across multiple benchmark types.
Aug 6, 2026
Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue
A new theoretical architecture for autonomous UAV swarms in search and rescue proposes a biologically inspired three-level learning system—reflexes, skills, and reasoning—with formal guarantees across safety, optimality, and cognitive resilience.
Jul 17, 2026