Artificial Intelligence Must-Know
By: Boadzie Daniel
Tags: Artificial Intelligence

Artificial Intelligence is the new buzzword that no one can go without. The reasons are numerous; AI has given as self-driven cars, fancy robots that have close to human intelligence, and many many more. Experts predict that AI will significantly improve the lives of humans in years to come. Even now, we are enjoying some of the benefits of this awesome technology.

Artificial Intelligence is the act of giving machines the ability to perform human-level tasks without explicit programming.

Algorithm: An Algorithm is an advanced mathematical function that finds patterns in data.

Augmented Intelligence: This refers to a situation where people and machines work together to create knowledge from data in a way that enhances human expertise.

Cognitive Computing: This refers to systems that learn to perform human-level tasks by interacting and experiencing their environment.

Strong AI: These are systems that are autonomous enough to think and act on their own. Examples include; DeepMind, Human Brain Project, and OpenAI, etc.

Weak AI: These are systems that cannot think and act on their own. An example is a chatbot.

Levels of AI

Artificial Narrow Intelligence(ASI): This system belongs to the Weak AI category. It refers to applying AI to a specific single domain. Chatbots fall into this category. Artificial General Intelligence(AGI): This falls in the Strong AI category. Machines produced from this system can perform almost all tasks on their own. We are currently heading towards this system. Artificial Super Intelligence(ASI): This also falls within the Strong AI category. Sytems build from this category have full autonomy. They can perform tasks that surpass human intelligence

AI Systems

Deterministic System: These systems produce a known output with a given input. This means that all outcomes are known and certain.

2. Probabilistic Systems: These systems depend on the confidence values of returned responses. Their outcomes are not known with certainty.

AI Influencers

Big Data: This is a crucial influencer of AI. Big Data has 5 attributes;

Variety: Big Data comes in different categories. There are text, audio, video, etc.

Big Data comes in different categories. There are text, audio, video, etc. Volume: Big Data comes in large volumes. This is because people are constantly generating content on platforms like Facebook, Twitter, etc.

Big Data comes in large volumes. This is because people are constantly generating content on platforms like Facebook, Twitter, etc. Velocity: The rate at which data is generated is rapid. For instance, indicates that 2.5 quintillion bytes of data are created each day.

The rate at which data is generated is rapid. For instance, indicates that 2.5 quintillion bytes of data are created each day. Veracity: This refers to the uncertain and imprecise nature of Big Data.

This refers to the uncertain and imprecise nature of Big Data. Visibility: This talks about how the information needs to make sense to people. If people can’t “see” information, they cannot benefit from it.

2. Advances in Computing Power: advancement in computing devices and storage. For example, GPU and TPU have significantly reduced the time needed to run some algorithms that usually took about weeks and months to compile. As move towards the use Quantum computers, the time taken to train models will significantly reduce.

3. Open-Source Frameworks: The advert of the numerous wonderful open-source Machine Learning Frameworks and libraries like Scikit-Learn, Tensorflow, Pytorch and many others has also contributed significantly to the growth of AI.

AI Areas

Machine Learning Natural Language Processing Computer Vision Business Analytics Big Data Robotics Generative Models

references

https://developer.ibm.com/africa/skills/artificial-intelligence-v2/

https://www.amazon.com/Practical-Machine-Learning-Python-Problem-