In recent years, the continuous increase in the growth of text data on social media has been a major reason to rely on the pre-training method to develop new text classification models specially ...

Captioning an image involves using a combination of vision and language models to describe the image in an expressive and concise sentence. Successful captioning task requires extracting as much ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

After years of dominance by the form of AI known as the transformer, the hunt is on for new architectures. Transformers aren’t especially efficient at processing and analyzing vast amounts of data, at ...

I talk with Recursal AI founder Eugene Cheah about RWKV, a new architecture that This essay is a part of my series, “AI in the Real World,” where I talk with leading AI researchers about their ...

A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...

Today, Abu Dhabi-backed Technology Innovation Institute (TII), a research organization working on new-age technologies across domains like artificial intelligence, quantum computing and autonomous ...

Liquid AI has introduced a new generative AI architecture that departs from the traditional Transformers model. Known as Liquid Foundation Models, this approach aims to reshape the field of artificial ...

We cross-validated four pretrained Bidirectional Encoder Representations from Transformers (BERT)–based models—BERT, BioBERT, ClinicalBERT, and MedBERT—by fine-tuning them on 90% of 3,261 sentences ...