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 ...

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

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Google has launched Gemini Embedding 2, its first fully multimodal embedding model based on the Gemini system. This model ...

Crescendo, the first AI-native contact center, today announced that Crescendo Multimodal AI won Best Innovation for Customer Experience and Overall Best of Enterprise Connect 2026, two of the ...

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

In the early stages of AI adoption, enterprises primarily worked with narrow models trained on single data types—text, images or speech, but rarely all at once. That era is ending. Today’s leading AI ...

Despite AI making huge strides, let's be honest: Most employees don’t trust workplace chatbots. Employees are told to ask the virtual assistants for help, but they’ve tried them, waited and watched ...

Unlock Google Gemini AI with these 7 prompts demonstrating research, coding, music, and travel capabilities efficiently.

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

By Hugo Francisco de Souza A massive new multimodal AI system trained on tens of millions of medical images could help unify fragmented radiology tools and assist doctors in interpreting scans and ...

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