Category: Multimodal AI

Brain-Computer Interfaces

Brain-Computer Interfaces, or BCIs, are systems that create a direct link between a person’s brain and a computer. They work by detecting brain signals, such as electrical activity, and translating them into commands that a computer can understand. This allows users to control devices or communicate without using muscles or speech. BCIs are mainly used…

AI for Sign Language

AI for Sign Language refers to the use of artificial intelligence technologies to recognise, interpret, and translate sign languages. These systems often use cameras or sensors to capture hand movements and facial expressions, then process the data to understand the intended words or phrases. AI can help bridge communication gaps between sign language users and…

AI for Video Editing

AI for video editing refers to the use of artificial intelligence technologies to automate or enhance tasks in video production. These tools can help with cutting footage, matching audio, colour correction, adding effects, and even generating subtitles. AI can save time and improve accuracy, making video editing more accessible to beginners and speeding up workflows…

AI for Music Composition

AI for Music Composition uses artificial intelligence to help create original music. It involves computer systems learning from existing songs, styles, and musical patterns, then generating melodies, harmonies, or even full tracks. Musicians and composers can use these tools to experiment with new ideas, save time, and explore creative options they might not have considered…

AI for Mixed Reality

AI for Mixed Reality refers to the use of artificial intelligence to enhance experiences that blend digital and physical environments. This technology allows computers to understand what is happening in the real world and respond intelligently, making virtual objects feel more realistic and interactive. It helps devices recognise objects, track movements, and create more believable…

AI for Augmented Reality

AI for Augmented Reality refers to the use of artificial intelligence to enhance and improve augmented reality experiences. AI helps AR systems recognise objects, understand environments, and respond to user actions more intelligently. This combination allows digital content to interact more naturally and accurately with the real world, making AR applications more useful and engaging.

AI for Virtual Reality

AI for Virtual Reality refers to the use of artificial intelligence to enhance and personalise experiences within virtual environments. This can involve making virtual characters more lifelike, adapting game worlds to a user’s actions, or creating realistic interactions. AI helps create environments that respond intelligently to users, making VR more engaging and immersive.