In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

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

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

H2O.ai Inc. on Thursday introduced two small language models, Mississippi 2B and Mississippi 0.8B, that are optimized for multimodal tasks such as extracting text from scanned documents. The models ...

Researchers have traditionally employed histopathology techniques, which involve the microscopic examination of tissue, to gain insight into disease processes. This approach often leads to subjective ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...