EurekAlert!

A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

Can We Teach AI to Learn from Mistakes Without Forgetting

Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.

Four AI research trends enterprise teams should watch in 2026

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to achieve goals. It is rooted in a stream of ...
NextBigFuture

Progress to Continual Learning AI

2025 saw a tripling of continual learning LLM papers according to arXiv trends. This is driven by foundation model scale and multimodal extensions. However, no flagship AI released models (GPT-5, Grok ...
Forbes

Next-Level Continuous Learning Is Essential For Successful Businesses

Laci Loew is an expert & thought leader in Human Resources formerly holding principal level roles at Accenture, UAL, Motorola, & LexisNexis. As reported by the World Economic Forum in 2023, nearly 25% ...