Artificial Intelligence (AI)
What is AI?
Machines that artificially incorporated with human like intelligence to perform tasks as we do, this intelligence is built using complex algorithms and mathematical functions.
AI is used in smartphones, cars, social media feeds, video games, banking, surveillance and many other aspects of our daily life.
What does an AI do at it's core?
Generalised learning: the ability to react appropriately to a new situation
Problem solving: the robot uses the given input and finds the solution for a problem
Reasoning: a robot must choose what is sensible based on the given circumstance - this portrays the robot's reasoning ability
These three capabilities make a robot artificially intelligent
In short, AI provides machines with the capability to adapt, reason, and provide solutions
Two broad categories in AI is classified into
Weak AI (also called narrow AI)
Focuses on one task - E.g Alexa- Alexa cannot answer a question it is not trained to answer
Stong AI
like robots that exist in fiction - E.g. Ultron is an ideal example of a strong AI, that't because it is self aware and eventually even develops emotions. - this makes the AI's response unpredictable
How is AI different from machine learning and deep learning?
Machine Learning is a technique to achieve AI
Deep Learning is a subset of machine learning
Machine leaning provides a machine with a capability to learn from data and experience through algorithms
Does this learning through ways inspired the human brain - this means through deep learning data and patterns can be better perceived (predicted)
Point of singularity: a prediction that by 2045 we would have robots as smart as humans
AI is built to work with humans and make our tasks easier, however with the maturation of technology we only wait and watch what the future of AI holds for us
AI applications
AI Facts
The global AI market is expected to reach a revenue of $118.6 billion by 2025
AI has grown by 270% in the last four years
87% of companies that have adopted AI were using it to improve email marketing
75 countries are using AI for surveillance
AI application in healthcare
Medical imaging and Diagnostics
pros and cons
pros (advanatages)
cons (disadvantages)
It reduces human error
It is available 24x7
it easily handles repetitive tasks
It’s fast
It’s costly to implement
It can’t duplicate human creativity
It will definitely replace some jobs, leading to unemployment
People can become overly reliant on it
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research and development
Patient Care
AI application in Education
slow transition of Artificial Intelligence has helped increase productivity among faculties and helped them concentrate more on students than office or administration work.
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AI can help analyse chronic conditions with the help of lab and other medical data to ensure early diagnosis
AI can also be used with advanced medical imaging to analyse and transform images
prescriptive analysis be performed on patient data for ensuring that the case is prioritised in real time and triage can be performed
audit systems that use AI can prevent prescription errors from and ensure the disease is properly identified
AI can be used for discovering drugs based on previous data and medical intelligence
It can be used to understand the human gene and it's components
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