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What is Multimodal learning?

Multimodal learning is an AI technique that integrates multiple types of data inputs, such as text, images, and audio, to improve model performance. It enhances AI applications in areas like medical diagnosis, autonomous systems, and interactive virtual assistants by enabling comprehensive contextual understanding.

Privacy by design
Privacy by design is a proactive approach to data protection that integrates privacy considerations into the design of products, systems, and business processes. It emphasizes minimizing data collection, enabling user control, and ensuring compliance with privacy regulations from the outset.
Intelligent Automation
Intelligent automation combines AI, machine learning, and robotic process automation (RPA) to automate complex business processes. It enhances efficiency, reduces human error, and improves decision-making in industries like finance, healthcare, and IT operations.
FAIR data
FAIR data is a set of principles ensuring that data is Findable, Accessible, Interoperable, and Reusable. These guidelines promote responsible data management in research, industry, and government, facilitating collaboration, transparency, and innovation in data-driven fields.