Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps ...

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

Medical imaging is a cornerstone of modern clinical medicine, supporting diagnostic assessment, therapeutic planning, and prognostic evaluation.

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...

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

This experiment implements Latent Pager Memory, a system that stores compressed latent states (not text summaries) produced by a transformer's hidden layers as first class objects. Instead of the ...

I'm going to give you clues for two four-letter words. Put an "r" between them to complete a common nine-letter word. This week's challenge comes from Greg VanMechelen, of Berkeley, California. Name ...

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 ...

smiles-encoder is a Python package used to generate one-hot vectors representing SMILES strings (each string element is a one-hot vector). To contribute to smiles-encoder, make a pull request.

Abstract: Transformer encoders such as Bidirectional Encoder Representations from Transformers (BERT) are widely adopted for Natural Language Processing (NLP) tasks, yet their computational and memory ...