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 ...

  Introduction Artificial neural networks (ANNs) are a branch of machine learning that is inspired by the structure and function of the biological neural networks in the animal brain. ANNs consist of interconnected units called artificial neurons, which process and transmit signals to other neurons. ANNs can learn from data and perform various tasks, such as image recognition, natural language processing, and speech synthesis. ANNs are also the basis of deep learning, which is a subfield of machine learning that uses multiple layers of neurons to extract features and representations from data. How do ANNs work similarly to the human brain? ANNs are modeled after the human brain, which is composed of billions of neurons that communicate with each other through synapses. Each neuron receives inputs from other neurons, integrates them, and produces an output that is sent to other neurons. The output of a neuron depends on its activation function, which is a mathematical function that ...