To maximize the benefits of blended learning, we’ll need to rethink not just the system architecture of schooling, but also the physical architecture of schools themselves. Heather Staker and I ...

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

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...

This article will run in AN’s June/July issue, which will be published online next week. As we roll into the summer term, and the novel coronavirus pandemic continues, schools across the United States ...

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make decisions ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...

Explore interdisciplinary learning at UC Berkeley's Summer Programs, which offer an intensive laboratory for architectural, ...