AI Learns Without Forgetting · Automate What Academy

AI Learns Without Forgetting

Ever feel like your AI tools forget everything the moment they learn something new? Turns out, Google Research is tackling that very problem with a completely fresh approach.

In one of their their latest posts, they introduce "Nested Learning", a new standard that rethinks how models learn and remember over time, taking inspiration straight from how our brains handle continual learning.

Here’s what stood out to me:

- Models structured as multiple nested optimization problems

- Architecture and training treated as one continuous process

- Better handling of 'catastrophic forgetting' (when new data wipes old knowledge)

- A new self-modifying model called 'Hope' that learns across multiple levels

- Potential to create truly self-improving, long-term memory AI systems

If this approach really works, it could change how we build and automate systems that need to retain knowledge over time, from intelligent assistants to real-time business automations.

Read the full article here: https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning

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