- AI Introduction
- Narrow AI
- Strong AI
- Nueral Network
- Deep Learning
- AI Perceptrons
- AI Historical Context
- AI Types
- Problem Solving Using AI
- AI Use Cases In Real Life
- AI Advantages Disadvantages
- AI Tools
- Cognitive AI
- Symbolic AI
- AI Ethics
- Responsible AI
- AI Multi Model Networks
- AI Genetic Algorithms
- AI Multi Agent Systems
- AI Prompt Programming
- AI Training Your Embeddings
- AI CCN Architecture
- AI Pre Trained Networks
Strong AI.
- Strong AI, also known as artificial general intelligence (AGI) or deep AI, is a computer system with a comprehensive intellect capable of learning and employing its intellectual ability to solve any problem.
- Strong AI, perform intelligent human level activities. Have the ability to learn, think and perform new activities like humans.
Real Strong AI systems don’t actually exist yet, a dream of future.
Strong vs Weak AI Data Points
| Strong AI | Weak AI |
| It can be used to mimic human intelligence, it is capable of understanding and learning any intellectual task. | It is driven for specific tasks by operating in a limited context. |
| It can adapt many new different situations and can apply knowledge across different contexts. | Can learn from data within its specific tasks, and same time it can't handle learning of an unrelated tasks. |
| It can autonomously identify and define new problems without human intervention. | Operates within predefined parameters not capable to identify new problems. |
| Similar to human reasoning, Greatly capable for making new decisions. | Decision making is limited to specific programmed scenarios and trained models. |
| Independently managing entire supply chains, Identifies and addressing business inefficiencies and provide recommendations, Fully autonomous customer service and support systems | Fraud detection, Chatbots, Supply chain optimization |