A new international review suggests that while artificial intelligence has made major strides in measuring engagement and behavioral patterns in online education, the integration of emotional and ...

The architecture of a multimodal system depends on the coordination of diverse hardware and software components into a single ...

This article explores how multiomics integration, imaging, and bioinformatics are advancing biomarker discovery, revealing ...

Across the world, conversations around Multimodal AI are gaining momentum. Researchers, technology leaders, and industry innovators are beginning to recognize it as the next major frontier of ...

Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.

DeepSeek compares China and US AI lab conditions; standardized schooling vs interest-driven training shapes early talent development.

By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...