AI Intelligence

How speech AI can help paralyzed people to regain their voices. Paralysis is a condition that affects millions of people around the world, causing them to lose the ability to move or control some or all of their body parts. Paralysis can result from various causes, such as spinal cord injury, stroke, brain injury, or neurodegenerative diseases. Depending on the location and extent of the damage, paralysis can affect different functions of the body, including speech. Speech is one of the most important forms of human communication, allowing us to express our thoughts, feelings, and needs. Speech also plays a vital role in our social interactions, personal relationships, and professional activities. Losing the ability to speak can have a devastating impact on one's quality of life, self-esteem, and mental health. Fortunately, advances in artificial intelligence (AI) and neuroscience have opened new possibilities for restoring speech function in paralyzed people, First, let's un...

Natural Language Processing: An Overview Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and human languages. NLP aims to enable computers to understand, analyze, generate, and manipulate natural language data, such as text and speech. NLP is a multidisciplinary field that draws on knowledge and techniques from linguistics, computer science, mathematics, statistics, psychology, and cognitive science.  Some of the applications of NLP include: Machine translation : the process of automatically translating text or speech from one language to another, such as Google Translate. Speech recognition : the process of converting spoken words into text or commands, such as Siri or Alexa. Natural language understanding : the process of extracting meaning and information from natural language input, such as sentiment analysis or question answering. Natural language generation : the process of producing natural language ...

What is Generic AI Generative AI is a branch of artificial intelligence that focuses on creating new content or data from existing data. It can produce realistic and novel artefacts such as text, images, audio, video, code, and more. Generative AI has many applications and use cases in various domains, such as entertainment, education, healthcare, design, and business. How does generative AI work? Generative AI works by using machine learning algorithms to learn from a large amount of data and generate new data that follows the same patterns or characteristics as the original data. For example, a generative AI model can learn from thousands of images of faces and generate new faces that look realistic but do not exist in reality. There are different types of generative AI models, such as: Generative adversarial networks (GANs) : These are composed of two competing neural networks: a generator and a discriminator. The generator tries to create fake data that can fool the discriminator, ...