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 ...

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

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

One of the most actively debated questions about human and non-human culture is this: under what circumstances might we expect culture, in particular the ability to learn from one another, to be ...

Learn more quickly and retain more? Here’s how, in just minutes. 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 ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

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 ...