“We stand on the brink of a technological revolution that will fundamentally alter the way we live, work, and relate to one another. In its scale, scope, and complexity, the transformation will be unlike anything humankind has experienced before.” – Klaus Schwab, Founder and Executive Chairman, World Economic Forum Geneva

Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans. AI has had some success in limited, or simplified, domains. AI is continuously evolving to benefit many different industries. Machines are wired using a cross-disciplinary approach based in all sectors.

Artificial Intelligence can be achieved in two ways – Through Machine Learning and Deep Learning.

Machine Learning provides Artificial Intelligence with the ability to learn and adapt and solve problems on its own based on some algorithms.

Deep Learning makes it possible for Artificial Intelligence to function and probably even a more intelligent version of a human.

Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.

Some of the important features of Artificial intelligence are:

  1. Speech recognition
  2. Object detection
  3. Solving problems and learning from a given set of datasets
  4. Plan an approach for future tasks to be performed