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

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

Andrej Karpathy, a former key figure at OpenAI and Tesla, offers a deep dive into the current state and future of artificial intelligence (AI). His insights emphasize the transformative impact of the ...

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 ...

Peg-in-hole assembly of tightly fitting parts often requires multiple attempts. Parts need to be put together by performing a wiggling motion of undetermined length and can get stuck, requiring a ...