Explanation
Imagine a world where AI can seamlessly blend different types of information, just like we do. That's the promise of cross-modal AI.
It's about creating AI systems that can understand and connect information from various modalities, such as text, images, audio, and video.
Think of it as teaching AI to see, hear, and read all at once, and then make sense of how these different pieces fit together.
For example, an AI system could analyse a video, understand the spoken words, recognise the objects in the scene, and then summarise the key events.
This opens up a wealth of possibilities for creating more intelligent and intuitive AI applications that can better understand and interact with the world around us.
Examples
Consumer Example
Consider a smart home assistant that can understand both your spoken commands and the images captured by its camera.
You could say, 'Turn off the lights,' and the assistant would do so. But you could also show it a picture of a specific lamp and say, 'Turn this one off,' and it would understand which light you mean.
It's like having an assistant that can understand your instructions no matter how you communicate them.
Business Example
Imagine a retailer using cross-modal AI to improve customer service.
The AI could analyse customer reviews (text), product images, and customer service call recordings (audio) to identify common problems and suggest solutions. For example, if the AI detects multiple complaints about a product's colour being different from the image online, it could alert the marketing team to update the product photos.
This could lead to improved product descriptions, fewer returns, and happier customers.