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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.

Data Storage
Data storage refers to the methods and technologies used to store digital information, including on-premises servers, cloud storage, and distributed file systems. It includes structured storage (databases), unstructured storage (object storage), and hybrid storage solutions. Efficient data storage strategies consider factors like scalability, security, redundancy, and access speed to meet the needs of modern businesses and AI applications.
Data cleansing
Data cleansing, also known as data scrubbing, is the process of identifying and correcting errors, inconsistencies, and duplicate records within a dataset. It enhances data quality, improves accuracy in analytics, and ensures reliable outcomes in AI models and business intelligence systems.
Multiway data analysis
Multiway data analysis is a statistical approach that examines datasets with multiple dimensions or factors, allowing for more complex pattern recognition. It is widely used in fields such as neuroscience, chemometrics, and market research to extract insights from multidimensional data structures.

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