Research

Continual Learning: AI That Never Stops Learning

Models that learn new tasks without forgetting old ones.

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Vijayakumar S
Jun 7, 202611 min read
Continual Learning Cycle

Overcoming Catastrophic Forgetting

2026 techniques let models learn continuously without performance degradation on previous tasks.

Methods

  • Elastic Weight Consolidation (EWC)
  • Memory replay (store some old examples)
  • Dynamic architectures (grow when needed)
VI
Vijayakumar S
AI Engineer 路 ML Enthusiast

Passionate about building intelligent systems, speech synthesis, and LLM applications. Writing about the tools and ideas shaping the next decade of software.