Morning Overview on MSN

Teaching AI from errors without memory wipe is the next battle

Artificial intelligence has learned to talk, draw and code, but it still struggles with something children master in ...

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" ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Science Daily

This 100-year-old teaching method is beating modern preschools

A first-of-its-kind national trial shows that public Montessori preschool students enter kindergarten with stronger reading, ...
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 ...
Forbes

Hybrid Learning Five Years Later: Where The Education Sector Is Now

In spring 2020, higher education made an abrupt shift from traditional, in-person teaching to fully remote and hybrid models. At the time, many in academia declared, "We'll never be the same again," ...