AI for Astronomy refers to the use of artificial intelligence methods to help astronomers analyse data, detect patterns, and make discoveries. Modern telescopes and space missions produce vast amounts of data that are too large for humans to examine without assistance. AI tools can quickly sort through images and signals, identify interesting objects like new…
AI for Voice Cloning refers to the use of artificial intelligence to create digital copies of a person’s voice. By analysing audio samples, AI systems learn the unique patterns and characteristics of a voice, allowing them to generate new speech that sounds like the original speaker. This technology can replicate tone, pitch, and accent, making…
AI for speech synthesis refers to the use of artificial intelligence to generate human-like speech from text. This technology converts written words into spoken language, making it possible for computers and devices to talk in realistic voices. AI models learn from large amounts of recorded speech to produce natural-sounding audio, including variations in tone and…
AI for audio processing uses artificial intelligence to analyse, interpret and manipulate sound data, such as speech, music or environmental sounds. It can identify patterns, recognise words, separate voices from background noise or even generate new audio content. This technology is applied in areas like speech recognition, noise reduction and music creation, making audio systems…
AI for image recognition refers to the use of artificial intelligence systems to analyse and understand the content of images. These systems can identify objects, people, scenes, or even specific details within a picture. By learning from large sets of labelled images, AI can quickly and accurately spot patterns that help it make sense of…
AI for translation refers to the use of artificial intelligence technologies to automatically convert text or speech from one language into another. These systems use large datasets and advanced algorithms to understand language structure, meaning, and context, making translations more accurate than traditional rule-based methods. AI translation tools are widely used in apps, websites, customer…
Modular Transformer Architectures are a way of building transformer models by splitting them into separate, reusable parts or modules. Each module can handle a specific task or process a particular type of data, making it easier to update or swap out parts without changing the whole system. This approach can improve flexibility, efficiency, and scalability…
Neuromorphic AI algorithms are computer programs designed to mimic the way the human brain works. They use structures and methods inspired by biological neurons and synapses, allowing computers to process information in a more brain-like manner. These algorithms are often used with specialised hardware that supports fast and efficient processing, making them suitable for tasks…
Spiking neuron models are mathematical frameworks used to describe how real biological neurons send information using electrical pulses called spikes. Unlike traditional artificial neurons, which use continuous values, spiking models represent brain activity more accurately by mimicking the timing and frequency of these spikes. They help scientists and engineers study brain function and build more…
AI for medical imaging refers to the use of artificial intelligence technologies to help analyse images such as X-rays, CT scans, and MRIs. These systems can quickly identify patterns or signs of diseases that might be difficult for humans to spot. This helps doctors make faster and more accurate diagnoses, which can lead to better…