Researchers propose a synergistic computational imaging framework that provides wide-field, subpixel resolution imaging without added optical complexity via a metalens-transformer design. They ...

Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...

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 ...

The new transformer model for DLSS could be... er... kinda transformative. When you purchase through links on our site, we may earn an affiliate commission. Here’s ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

We’ve seen a recent explosion in the number of discussions about artificial intelligence (AI) and the advances in algorithms to improve its usability and practical applications. ChatGPT is one of the ...

Cyberpunk 2077 Patch 2.21 - Native vs Convolutional Neural Networks vs Transformer Model (DLSS 4) | 4K 4K, rt - Ultra - 0:00 ...