The AI in your pocket - how multimodal models are conquering everyday life

In everyday life, AI assistants on smartphones already make our lives easier in various ways. But what if they became even smarter with AI? They could interpret images, interact with installed apps, and even help us schedule appointments or set reminders, simply through spoken instructions. Particularly in the field of accessibility, for example, it becomes possible for visually impaired people to better perceive and understand their environment, and that smartly, automatically, and indeed: with AI. Multimodal AI represents a new paradigm that links different data types and intelligence processing algorithms together to achieve higher performance and often better results in real-world applications.

Multimodal Models in AI: Seeing, Speaking, Hearing, Understanding

Multimodal models in AI are designed to process multiple forms of sensory input simultaneously, similar to how the human organism does. In contrast to traditional unimodal AI systems, which are trained for specific tasks with a single data type, multimodal models integrate and analyze data from various sources, including text, images, audio, and video. This ability to combine information from different modalities allows them to make more dynamic predictions and provide superior performance compared to unimodal systems. Multimodal AI is a new AI paradigm that combines different data types such as images, text, speech, and numerical data with multiple intelligence processing algorithms to achieve higher performance. Often, multimodal AI outperforms unimodal AI in many real-world problems. It is applied in areas such as healthcare, finance, and entertainment. In healthcare, for example, multimodal models can be used to analyze medical images, patient data, and clinical notes to create more accurate diagnoses and treatment plans. The development of multimodal models requires sophisticated algorithms capable of integrating and analyzing data from different sources. "The integration of multimodal AI models into our smartphones transforms these devices from simple communication tools to intelligent life companions that support us in various ways. This technology allows us to experience and understand the world around us in a whole new way, opening up fascinating new possibilities for the future." - Roger Basler de Roca Imagine we are on a trip in a foreign city and looking for a cozy café. Instead of laboriously using a search engine, we can simply take a photo of the surroundings and ask the AI assistant, "Where is the nearest café?". In seconds, the AI analyzes the image, recognizes the surroundings, and shows us the way to the nearest café, including ratings and opening hours. This type of visual search is just one example of how AI assistants on smartphones make our everyday lives easier and more convenient. But the possibilities go far beyond that. Multimodal AI models are capable of not only interpreting images but also interacting with the apps installed on the smartphone. For example, they can, on request, enter appointments in your calendar, set reminders, or compose emails. And all of this without you having to lift a finger. You simply speak to your smartphone, and the AI assistant takes care of the rest. Another impressive example of the capabilities of AI assistants is automatic image description for visually impaired people. Thanks to special apps, images can be taken and analyzed by the AI model. Users receive an accurate description of what is visible in the image, including details such as colors, shapes, and positions of objects, within a short period of time. This makes the world a bit more accessible and experiential for visually impaired individuals. AI assistants on smartphones have long been more than just digital helpers for everyday life. They have become intelligent companions that support us in various ways and enrich our lives. The future promises many more exciting developments in this area, and it remains to be seen what new possibilities will be opened up by the combination of AI and smartphone technology. Is your company a part of this?