Transformer-DAPT improved prediction of ischaemic and bleeding risks after PCI. Read more about the new study.

Scientists have developed a deep learning model that improves PV panel segmentation in remote sensing images, by combining ...

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 ...

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 ...

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 ...

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...

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 ...

The generative AI in music market offers opportunities in AI-assisted music tools, AI-driven music production, and personalized music recommendations. Growth hinges on smartphone adoption, VR/AR ...