Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
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 ...
A first-of-its-kind national trial shows that public Montessori preschool students enter kindergarten with stronger reading, ...
Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of acquiring new skills or adjusting behaviors in response to positive outcomes ...
The recent release of the DeepSeek-R1 model by a Chinese AI startup has significantly impacted the education sector, providing high-level inference performance at a fraction of the typical training ...
Since no one ever does anything worthwhile on their own, who you know is important. But what you know — and what you do with what you know — is crucial. Learning, memory, and cognitive skills are a ...
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," ...
Our brains may work best when teetering on the edge of chaos. A new theory suggests that criticality a sweet spot between order and randomness is the secret to learning, memory, and adaptability. When ...
Daniel D. Pratt presents five perspectives on teaching gathered from several years of research across five different countries. These perspectives are presented in both theoretical and practical forms ...
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