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

Luma introduced Luma Agents, powered by its new “Unified Intelligence” models, designed to coordinate multiple AI systems and generate end-to-end creative work across text, images, video and audio.

Microsoft releases Phi-4 Reasoning Vision 15B, a multimodal AI model that activates its own thinking mode and handles ...

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 ...

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

RunAnywhere Enables Enterprises to Run and Manage Multimodal AI on Devices in Days, Not Months SAN FRANCISCO, CA - March 3, 2026 (NEWMEDIAWIRE) - RunAnywhere, a YC W26-backed company, today announced ...

A generalized architectural blueprint for building efficient MLLMs. This template achieves efficiency through a combination of component choices and data flow optimization. Key strategies include: (1) ...

1910, the only AI-native biotech pioneering small and large molecule therapeutics discovery, today announced the publication of PEGASUS™, a multimodal AI model that achieves state-of-the-art accuracy ...

At the Huawei Product & Solution Launch during MWC Barcelona 2026, Yuan Yuan, President of Huawei Data Storage Product Line, ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

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 ...

The government-led artificial intelligence (AI) foundation model project is intensifying its race as the four consortia in ...