In recent years, the artificial intelligence (AI) has advanced by leaps and bounds, transforming many industries and aspects of our daily lives.
One of the most recent and most promising innovations in this field is the Multimodal AI. For example, Google Gemini is a multimodal AI.
In this article, we will explore what is multimodal AIhow it works, its practical applications and the benefits it offers.
What is multimodal AI?
The Multimodal AI refers to artificial intelligence systems which can process and analyse multiple data types simultaneously, as text, images, audio and video.
Unlike traditional AIs, which are typically designed to handle a single type of data, multimodal AIs integrate multiple sources of information to provide a richer and more accurate understanding of the environment or task at hand.
Therefore, they are the future of artificial intelligence, as we will always be looking for multimodality in all aspects of our work.
How does multimodal AI work?
The Multimodal AI uses advanced models of deep learning to merge and analyse different types of data.
These models are trained on large datasets containing multiple modalities of information.
For example, a model can be trained with images tagged with textual descriptionsIt allows you to understand and generate text related to the images you analyse.
Related: ChatGPT vs Gemini, advantages and disadvantages
Multimodal AI applications and company examples
The applications of the Multimodal AI are vast and cover a variety of industries. Some of the most relevant are highlighted below:
1. Medical care
In the field of health, the Multimodal AI can integrate data from medical images, patient records and laboratory results to improve the diagnosis and treatment of diseases.
- Assisted diagnosis:
- Zebra Medical Vision: this company uses Multimodal AI to analyse medical images and detect diseases such as breast cancer, osteoporosis and cardiovascular disease ([invalid URL removed]).
- IDx-DR: its FDA-approved multimodal AI system detects diabetic retinopathy from retinal images.
- Robotic surgery:
- Intuitive Surgical: its da Vinci surgical systems, assisted by multimodal AI, allow surgeons to perform minimally invasive procedures with greater precision.
- Personalised medicine:
- Tempus: This company uses Multimodal AI to analyse genomic dataThe aim of the study is to develop clinical and imaging tools to personalise cancer treatment.
2. Security and surveillance
Security systems can benefit enormously from the Multimodal AIwhich can analyse video sequences together with audio and text data to detect suspicious behaviour or incidents in real time.
- Anomaly detection:
- AnyVision: facial recognition and object detection platform uses multimodal AI to identify threats in real time in public spaces.
- Biometric recognition:
- Clear: its technology of biometric identification combines facial and iris recognition to speed up access at airports and sporting events.
- Forensic analysis:
- Cognitec: its facial analysis software uses multi-modal AI to identify suspects and analyse large amounts of video data.
3. Marketing and advertising with multimodal AI
In marketing, the Multimodal AI allows for a deeper understanding of the consumer preferences and behaviour by combining data from social media, purchase history and online interactions.
- Audience segmentation:
- GumGum: Its platform for contextual advertising uses multimodal AI to analyse the visual and textual content of web pages and display relevant ads.
- Sentiment analysis:
- Brandwatch: This social listening tool uses multimodal AI to analysing sentiment in social media and other data sources.
- Content generation:
- Persado: Its platform uses multi-modal AI to generate personalised advertising copy that resonate with specific audiences.
4. Education
In the field of education, the Multimodal AI can personalise learning by analysing the academic performance, classroom interactions and multimedia content used by students.
- Virtual tutoring:
- Carnegie Learning: its MATHia platform uses multimodal AI to personalising education and adapt to the pace of each student.
- Automated evaluation:
- Gradescope: this tool uses multimodal AI to speeding up the marking of assignments and examsincluding handwritten answers and oral presentations.
- Accessibility:
- Microsoft Translator: its function of real-time translation uses multimodal AI to translate spoken conversations and subtitle videos in different languages.
5. Virtual Assistants
Virtual assistants, such as Amazon's Alexa o Apple Siri, they use Multimodal AI to improve interaction with users. These systems simultaneously process voice commands, textual queries and contextual data to provide more accurate and relevant answers.
- Natural interaction:
- Google Assistant: This virtual assistant uses multimodal AI to understand voice commands, answer questions and perform tasks on different devices.
- Task automation:
- Amazon Alexa: This virtual assistant can control smart home devices, play music, answer questions and perform other tasks using voice commands.
Benefits of multimodal AI
The Multimodal AI offers several key benefits:
- Greater AccuracyBy combining multiple data sources, the Multimodal AI can provide more accurate analysis and predictions.
- Better User ExperienceThe integration of different modalities allows for more effective interactions natural and effective with AI systems.
- AdaptabilityThese systems can be applied in a wide range of contextsfrom medicine to entertainment.
- Continuous InnovationThe ability to process multiple types of data opens the door to new applications and technological advances.
Conclusion
The Multimodal AI represents a significant leap forward in the evolution of artificial intelligence, providing a fuller and more detailed understanding of information by integrating different types of data.
Its applications in various industries demonstrate its potential to transform and improve many aspects of our lives. As technology continues to advance, we can expect to see even more innovations and surprising uses for the Multimodal AI in the near future.
