Forbes contributors publish independent expert analyses and insights. AI leader & Cornell faculty; serial entrepreneur; ex-Google/LinkedIn Multimodality is set to redefine how enterprises leverage AI ...

Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...

Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...

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 ...

Multimodal AI and AI Trust Risk and Security Management (TRiSM) have reached the Peak of Inflated Expectations on the Gartner Hype Cycle (pictured). Multimodal AI models are trained with multiple ...