Over the past six years, artificial intelligence has been significantly influenced by 12 foundational research papers. One pivotal moment was the ...

B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far ...

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.

Three-letter DNA “words” can decide whether a yeast cell cranks out a medicine efficiently or sputters along. The words are ...

Hi, I've noticed that while the VAE decoders for the 1.5B and 0.5B models share the same architecture, their parameters (weights) are different. This leads to a few questions: Why was a new VAE ...

BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...

Abstract: With the wide application of electronic transformer, the prevention of the error state of transformer becomes more and more serious. In order to further ...

Abstract: Accelerated magnetic resonance imaging (MRI) re-construction is a challenging and ill-posed inverse problem due to severe k-space undersampling. In this paper, we propose ReconFormer-EDR, a ...