Intro to AI

Artificial Intelligence (AI) 

Artificial Intelligence (AI) is a field of computer science that focuses on creating machines that can perform tasks that would typically require human intelligence.

Capabilities

• Learning from data 
• Recognizing patterns
• Making decisions
• Solving problems. 

Range of applications

• Natural language processing
• Speech recognition
• Image recognition
• Robotics
• AI has the potential to revolutionize many industries, from healthcare to finance to transportation. 

•  Reactive Machines in AI refers to the most basic type of artificial intelligence systems. These machines can only react to current scenarios or inputs without the ability to use past experiences to inform future actions. A couple examples are Automated Teller Machines and Traffic Light Controls.

• Artificial Narrow Intelligence (ANI) also commonly known as Narrow AI or Weak AI is the primary AI achieved so far. This particular approach towards AI is goal-oriented and can perform only designated tasks. Some of the examples of Narrow AI include face recognition, voice assistant, and everything similar that can perform only specified tasks.

• Artificial General Intelligence (AGI) is also commonly known as Deep AI or Strong AI. It is a conceptual idea where AI can mimic human intelligence. AGI has the capability to learn from its interactive tasks and assist in problem-solving. Deep Mind, a leading AI research organization, has stated that the path to achieving AGI remains a topic of debate among scientists. Opinions range from AGI being far away, to possibly emerging within a decade, to "sparks of AGI" already visible in current large language models (LLM).  

Value

• Research medical information 
• Create an image 
• Write a poem 
• Create/Refine documents; schedules; reminders
• Text to Image Generation
•  Brainstorm
• Etc.  

Limitations 

• May Misunderstand the context
• May Generate false information

Other Potential Concerns

• Bias: AI systems can inherit biases from training data, leading to unfair outcomes.
• Privacy: Handling personal data raises privacy concerns
• Security Risks: Hacking Vulnerabilities in AI systems can be exploited by malicious actors.
• Human-Like Creativity and Empathy: AI lacks the creativity and empathy inherent in human thinking.
  

One should always verify the accuracy
of the information provided.