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What programming languages are used to build AI?

AI is developed using various programming languages including Python, R, C++, Java, and others. Python is particularly popular for machine learning and working with large datasets.

Who owns AI?

AI is not owned by any single entity. It is a technology developed and deployed by various companies and organizations, such as Google, OpenAI, Microsoft, and others. Each AI project may have a different owner or development team.

How much does AI cost?

The cost of implementing AI varies depending on the complexity of the system and its intended use. For businesses, costs can range from several thousand to millions of dollars. For individuals, many AI tools are available via affordable cloud-based subscriptions.

What can AI do right now?

AI can process speech and visual input, analyze large volumes of data, generate text and imagery, make predictions, and support decision-making. It is already used in healthcare, finance, robotics, and business process automation.

Where can AI be applied?

AI is used in medicine for diagnostics, in fintech for market analysis, in automotive industries for autonomous driving, in marketing for ad personalization, and in other fields such as robotics, customer service, and cybersecurity.

Who invented AI?

The concept of artificial intelligence was formalized in 1956 at the Dartmouth College conference by John McCarthy and other researchers. However, its development includes contributions from pioneers like Alan Turing, who first described the idea of "machine intelligence."

What is artificial intelligence and how does it work?

Artificial intelligence is a technology that simulates human thinking and learning to perform tasks that typically require intelligence. It operates based on algorithms, machine learning, and data processing to identify patterns and make decisions.

What can artificial intelligence already do today?

AI can recognize speech and images, perform complex mathematical calculations, generate texts and images, analyze big data, and assist in decision-making. It is actively used in fields like healthcare, finance, marketing, and automation.