Artificial Intelligence (AI)
Artificial Intelligence (AI) is the simulation of human intelligence processes by computer systems. These processes include learning from experience (machine learning), understanding natural language, recognizing patterns, solving problems, and making decisions. AI systems can analyze vast amounts of data, identify trends, and perform tasks that traditionally required human intelligence, such as visual perception, speech recognition, and decision-making.
Key capabilities of AI include:
- Learning and adapting from data
- Recognizing patterns and images
- Understanding and processing language
- Making predictions and recommendations
- Automating complex tasks
What is the simple definition of Artificial Intelligence?
In simple terms, Artificial Intelligence is when computers and machines are programmed to think and learn like humans. Instead of just following fixed instructions, AI systems can analyze information, learn from it, and make decisions or predictions based on what they've learned. Think of it as teaching computers to be smart and solve problems on their own.
What are the 4 types of Artificial Intelligence?
The four types of Artificial Intelligence are:
1. Reactive Machines
- Most basic form of AI
- Responds to current situations without memory
- Cannot learn from past experiences
Example: Chess-playing computers like IBM's Deep Blue
2. Limited Memory AI
- Can use past experiences to inform future decisions
- Stores data temporarily
- Most current AI applications fall here
Examples: Self-driving cars, chatbots, recommendation systems
3. Theory of Mind AI
- Still largely theoretical
- Would understand emotions, beliefs, and thoughts
- Could interact socially like humans
- Not yet fully achieved in practice
4. Self-Aware AI
- Hypothetical future AI with consciousness
- Would have self-awareness and emotions
- Understands its own existence
- Currently exists only in science fiction
Note: Most AI today operates at the Limited Memory level, while Theory of Mind and Self-Aware AI remain future possibilities.
How does Artificial Intelligence work?
AI works through three main steps:
(1) collecting and processing large amounts of data,
(2) using algorithms to recognize patterns and learn from that data, and
(3) applying that learned knowledge to make predictions or decisions on new, unseen data.
Detailed Breakdown:
Step 1: Data Collection
- AI systems require massive datasets for training
- Data can be images, text, audio, numbers, or sensor readings
- Quality and quantity of data directly impact AI performance
Step 2: Training
- Algorithms analyze the data
- Identify patterns and relationships
- Adjust internal parameters to improve accuracy
- Iterate thousands or millions of times
Step 3: Inference (Prediction)
- Apply learned knowledge to new data
- Make predictions or classifications
- Continuously learn from new inputs
- Improve accuracy over time
What is the future of Artificial Intelligence?
The future of AI includes widespread automation, more advanced general AI systems, ethical AI development, AI-human collaboration, and integration into every industry. Key trends for 2025-2030 include multimodal AI (understanding text, images, and audio together), AI regulation, personalized AI assistants, and breakthrough applications in healthcare, climate change, and scientific discovery.
How much does it cost to learn AI and get an AI job?
The total cost to learn AI and get a job ranges from 500 EUR (budget self-study) to 50,000+ (university degree). The most cost-effective path is bootcamps (3-6 months), which include structured curriculum, projects, and career support. Factor in living expenses, equipment, and 6-12 months of learning time for a realistic budget. We currently have the first and only AI Engineering Bootcamp in Greece!
