Module 1

Type of AI

• IBM Research defines Artificial Intelligence (AI) as Augmented Intelligence, helping experts scale their capabilities as machines do the time-consuming work.

Summary

• AI learns by creating machine learning models based on provided inputs and desired outputs.
• AI can be described in different ways based on strength, breadth, and application - Weak or Narrow AI, Strong or Generalized AI, Super or Conscious AI.
• AI is the fusion of many fields of study, such as Computer Science, Electrical Engineering, Mathematics, Statistics, Psychology, Linguistics, and Philosophy.

AI-powered applications are creating an impact in diverse areas such as Healthcare, Education, Transcription, Law Enforcement, Customer Service, Mobile and Social Media Apps, Financial Fraud Prevention, Patient Diagnoses, Clinical Trials, and more.

Some of these applications include:

• Robotics and Automation, where AI is making it possible for robots to perceive unpredictable environments around them in order to decide on the next steps.
• Airport Security, where AI is making it possible for X-ray scanners to flag images that may look suspicious.
• Oil and Gas, where AI is helping companies analyze and classify thousands of rock samples to help identify the best locations to drill for oil?

Some famous applications of AI from IBM include:

• Watson playing Jeopardy to win against two of its greatest champions, Ken Jennings and Brad Rutter.
• Watson teaming up with the Academy to deliver an amplified Grammy experience for millions of fans.