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...

Self-driving cars: The future of transportation Self-driving cars are vehicles that can travel without human input. They use sensors, cameras, artificial intelligence, and software to perceive their surroundings, plan their routes, and control their movements. Self-driving cars have the potential to improve road safety, reduce traffic congestion, lower greenhouse gas emissions, and provide mobility and convenience to people who cannot or prefer not to drive. However, self-driving cars also face many technical, legal, ethical, and social challenges. How can they cope with unpredictable human drivers and pedestrians? How can they handle complex situations such as bad weather, road works, or emergencies? Who is responsible if a self-driving car causes an accident or breaks the law? How can they ensure the privacy and security of the passengers and their data? How can they gain the trust and acceptance of the public and the regulators? The development of self-driving cars has been ongoing ...

  Federated Learning: Privacy-Preserving AI Artificial intelligence (AI) has become ubiquitous in our daily lives, powering applications such as spam filters, chatbots, and recommendation systems. However, these applications rely on massive amounts of data, often collected from users' personal devices or online activities, to train and improve their AI models. This raises serious concerns about data privacy, security, and ownership, as users may not want to share their sensitive information with third parties, or may face legal or ethical restrictions on doing so. Moreover, centralizing data in one place also poses challenges for scalability, efficiency, and robustness, as data may be too large, too diverse, or too dynamic to be transferred and processed by a single server. Federated learning is a novel machine learning technique that aims to address these challenges by enabling multiple parties to collaboratively train a common AI model without exchanging their data . Instead of s...

Explainable AI: What, Why and How Artificial intelligence (AI) is a branch of computer science that aims to create machines and systems that can perform tasks that normally require human intelligence, such as perception, reasoning, learning, decision-making, and natural language processing. AI has been advancing rapidly in recent years, thanks to the availability of large amounts of data, powerful computing resources, and novel algorithms. AI applications have been transforming various domains, such as healthcare, education, finance, entertainment, and security. However, as AI becomes more pervasive and influential in our society, there is also a growing demand for understanding how AI works and what are the implications of its decisions. Many AI systems are based on complex and opaque models, such as deep neural networks, that are hard to interpret and explain by humans. These models are often referred to as "black boxes" because their internal logic and reasoning are hidde...

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, ...