Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.

Our key idea is to learn a deep summarization network with attention mechanism to mimic the way of selecting the keyshots of human. To this end, we propose a novel video summarization framework named ...

This letter proposes an encoder-generator-decoder SR reconstruction (SRR) network for remote sensing named EGDSR. We design three modules: multiscale feature extraction and latent code generation ...

DualCodec is a low-frame-rate (12.5Hz or 25Hz), semantically-enhanced (with SSL feature) Neural Audio Codec designed to extract ... DualCodec-Voicebox: A flow matching decoder for DualCodec 12.5Hz's ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. "It's a network effect," said UC Santa Barbara mechanical engineering professor Francesco ...

Manya Gobhadi (MIT) As a small-scale example, consider Figure 1a, which shows a GPU-to-GPU trace that was generated by a neural network training job. This trace features both temporal and spatial ...