The term multimodal fusion originates from the fields of Artificial Intelligence, Big Data and Smart Data, and automation. It describes the ability of computers and systems to bring together information from different sources and in various forms, and to derive new insights from it.
Multimodal fusion, for example, means that a system can simultaneously analyse and combine not only texts but also images, sounds, sensor data, or videos. The aim is to obtain a more complete picture by linking these different data sources than would be possible with just one type of data.
A vivid example of this is quality control in a modern factory: cameras check the colour and shape of a product, while sensors measure vibrations or temperatures. Multimodal fusion ensures that all this information is combined. This allows the system to more accurately detect whether a product has defects because it identifies any potential problems more quickly and reliably.
Multimodal fusion therefore creates more intelligent and reliable systems. For businesses and decision-makers, this means better analyses, more automation, and more efficient processes, whether in industry, marketing, or service.
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