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

Read more about How AI and blockchain are reinventing multimodal logistics for disruption-prone world on Devdiscourse ...

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

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 ...

DeepSeek V4 ships native multimodal input with lower latency, plus support for Blackwell SM100 and FP4 compute scaling.

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 ...

Abstract: Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, ...

We present Magma, a foundation model that serves multimodal AI agentic tasks in both the digital and physical worlds. Magma is a significant extension of vision-language (VL) models in that it not ...

The Allen Institute for AI, also known as Ai2, last week released Molmo 2, its latest multimodel suite capable of precise spatial and temporal understanding of video, image, and multi-image sets.

Ai2 (The Allen Institute for AI) today announced Molmo 2, a state-of-the-art open multimodal model suite capable of precise spatial and temporal understanding of video, image, and multi-image sets.

New open models unlock deep video comprehension with novel features like video tracking and multi-image reasoning, accelerating the science of AI into a new generation of multimodal intelligence.