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3. Learning Power Humans learn from various Machine learn from data and
incidents and past experience. continuous training.
Humans also learn from their AI does not learn from their
mistakes made via trial and error mistakes made via trial and error
approach. approach.
4. Decision making Humans can make rational AI machine make decisions
power decisions. based on events, the data they
are trained on, how they are
related to a particular event.
5. Human factor Humans possess the unique AI machines cannot understand
ability to learn and apply the concept of “cause and
their acquired knowledge effect” simply because they lack
in combination with logic, common sense.
reasoning and understanding.
Need of AI
AI is probably the most powerful tool invented by humans. Consider your cell phone, for
making a phone call you needed to suspend all the tasks and search the contact and then
make a call. Today, AI has powered the phones, turning them into Smart phones with virtual
assistants who would do the same thing without halting your ongoing task.
We need the power of AI to let the machine reduce our tasks that do not require specific skills,
so that we could tend to do other productive work.
Reboot
State a difference between human and machine intelligence based on their learning capability.
AI is used for the development of drugs and vaccines, and the reduction of workload of
healthcare workers. It is also helpful for proper screening, tracking and predicting the current
and future patients. The major applications of this AI are for early detection and diagnosis of
the infections and diseases.
Terminologies Associated with AI
While understanding types of Artificial Intelligence we came across many terms like Big data,
Past experience, Chat bots, Perceptions, etc. These terminologies are no longer alien and are
now a part of our everyday vocabulary. Let us understand them.
86 Premium Edition-VI

