A Visual QA Platform is a software tool that helps teams test and review the look and behaviour of digital products, such as websites or apps, by providing visual feedback. It allows users to spot design differences, check for errors, and make comments directly on screenshots or live interfaces. These platforms streamline the process of…
A Smart Visualiser is a digital tool that helps users display and explore data or information in an interactive and intelligent way. It can automatically adjust visuals, highlight important details, and make complex data easier to understand. Smart Visualisers are used in classrooms, business meetings, and data analysis to make presentations more engaging and informative.
Multi-Model Routing is a method used to direct requests or tasks to the most suitable artificial intelligence model based on the specific needs of the user or the content of the request. This approach allows systems to combine the strengths of different AI models, such as language, vision, or code models, for more accurate or…
Cross-modal knowledge transfer is a technique where learning or information from one type of data, like images, is used to improve understanding or performance with another type, such as text or sound. This approach allows systems to apply what they have learned in one area to help with tasks in a different area. It is…
Multi-domain knowledge fusion is the process of combining information and expertise from different areas or fields to create a more complete understanding of a topic or to solve complex problems. By bringing together knowledge from various domains, people and systems can overcome the limitations of working in isolation and make better decisions. This approach is…
Cross-modal alignment refers to the process of connecting information from different types of data, such as images, text, or sound, so that they can be understood and used together by computer systems. This allows computers to find relationships between, for example, a picture and a description, or a spoken word and a written sentence. It…
Multi-modal data fusion is the process of combining information from different types of data sources, such as images, text, audio, or sensor readings, to gain a more complete understanding of a situation or problem. By integrating these diverse data types, systems can make better decisions and provide more accurate results than using a single source…
Synthetic media generation refers to the creation of images, videos, audio, or text using computer algorithms rather than capturing them directly from real life. This process often uses artificial intelligence, such as deep learning models, to produce content that can look or sound convincingly real. Synthetic media can be used for entertainment, education, advertising, or…
Neural Module Networks are a type of artificial intelligence model that break down complex problems into smaller tasks, each handled by a separate neural network module. These modules can be combined in different ways, depending on the question or task, to produce a final answer or result. This approach is especially useful for tasks like…
Cross-modal learning is a process where information from different senses or types of data, such as images, sounds, and text, is combined to improve understanding or performance. This approach helps machines or people connect and interpret signals from various sources in a more meaningful way. By using multiple modes of data, cross-modal learning can make…