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Synthetic Intelligence

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Synthetic Intelligence

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Research Frontiers in Continual Learning and Catastrophic Forgetting Mitigation

Study of mechanisms that allow AI systems to learn sequentially from streaming data while retaining previously acquired knowledge.

Plasticity-Stability Trade-offs in Lifelong Neural Architectures
Memory Consolidation Mechanisms Across Sequential Learning Tasks
Synaptic Replay and Interference Resolution in Continual Learners
Adaptive Regularization Landscapes for Task-Agnostic Forgetting
Metacognitive Boundaries: Learning When to Retain or Prune
Distributed Representations and Cross-Task Knowledge Interference
Temporal Dynamics of Feature Drift in Non-Stationary Environments
Neuromodulatory Signals for Dynamic Task Gating and Protection
Structural Reorganization During Incremental Capacity Expansion
Experience Replay Diversity and Optimal Memory Budget Allocation

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