A.I. (Artificial Intelligence)

Artificial intelligence is a branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, and problem-solving.

Key Characteristics of AI:

• Adaptability: Learns from data to improve performance over time.
• Automation: Handles repetitive tasks without explicit programming for each scenario.
• Intelligence: Mimics cognitive functions like decision-making and perception.

Applications:

• Virtual Assistants: Siri, Alexa, or Google Assistant.
• Healthcare: Diagnosing diseases or recommending treatments.
• Finance: Fraud detection or algorithmic trading.
• Fraud Detection: Identifying suspicious activity in financial transactions.
• Predictive Analytics: Anticipating trends or customer needs.

Example:

AI in a self-driving car processes sensor data to recognize traffic signs, obstacles, and pedestrians, enabling safe navigation.

Frequently Asked Questions about A.I. (Artificial Intelligence)

1. What is artificial intelligence in simple terms?‍

Artificial intelligence is a field of computer science that builds systems able to reason, learn, and solve problems tasks that typically require human intelligence.

2. What are the key characteristics of AI mentioned here?‍

Three stand out: adaptability (learning from data over time), automation (handling repetitive tasks without explicit rules for every case), and intelligence (mimicking perception and decision-making).

3. How is AI used in everyday tools like virtual assistants?‍

Virtual assistants such as Siri, Alexa, and Google Assistant use AI to interpret requests, learn preferences, and automate tasks turning voice or text input into helpful actions.

4. Where does AI show up in healthcare and finance?‍

In healthcare, AI supports diagnosis and treatment recommendations. In finance, it powers fraud detection and algorithmic trading by spotting patterns and making data-driven decisions.

5. What does “predictive analytics” mean in the context of AI?‍

It’s using learned patterns to anticipate trends or customer needs, helping organizations act proactively rather than reactively.

6. How does the self-driving car example illustrate AI in action?‍

An AI system processes sensor data to recognize traffic signs, obstacles, and pedestrians, then uses that understanding to navigate safely combining perception, decision-making, and automation.