Breast cancer is one of the most common malignancies worldwide, and mutations in the PI3K/AKT/mTOR (PAM) signaling pathway ...

A study shows radiologists inconsistently identify AI-generated x-rays, highlighting emerging risks for clinical decision-making and data integrity.

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

Music and sound play central roles in how humans produce and interpret meaning across artistic, cultural, and communicational contexts. Sound design and ...

Qwen 3.6 Plus is a new advanced AI model built for agentic coding, offering multimodal reasoning and a 1-million-token context window.

The University of Iowa's Initiative for Multimodal Logistics Optimization (IMLO) is a comprehensive research center with real ...

Add Decrypt as your preferred source to see more of our stories on Google. MATHVISTA, built with more than 6,000 annotated datapoints from Sahara AI, tests AI models on multimodal math reasoning.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, like vision, audio, touch, lidar, text, and more, from its environment to ...

The multimodal examples suggested class 10 VQA. But the new llava dataset and energon prepare has updated the selections - class 10 is no longer VQA. Do you want to create a dataset.yaml interactively ...

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...

Building multimodal AI apps today is less about picking models and more about orchestration. By using a shared context layer for text, voice, and vision, developers can reduce glue code, route inputs ...