Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight updates, and slow convergence. In this video, we break down one of the most ...

The groundbreaking work of a bunch of Googlers in 2017 introduced the world to transformers — neural networks that power popular AI products today. They power the large-language model, or LLM, beneath ...

Researchers propose a synergistic computational imaging framework that provides wide-field, subpixel resolution imaging ...

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