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What is AI?
AI allows all individuals, no matter their age, to visualize their dreams! Visualizing your dreams is the first step in making them possible.
AI is when computers think in a way similar to humans by using auditory or visual inputs to construct representations of the world. AI dates back thousands of years, but the first official use of the term "robot" was in a play from 1923 called, Rossum's Universal Robots. The Three Laws of Robotics was first introduced in the book Liar by Isaac Asimov. A robot may not injure a human being or, through inaction, allow a human being to come to harm.
A robot must obey orders given it by human beings except where such orders would conflict with the First Law.
A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
Key Terms
Machine Learning-
Providing a computer with data so that it can "learn" by making connections, and drawing conclusions without programmed instructions.
The Turing Test-
Testing the ability to determine the difference between a human and a machine.
Expert Systems Vs Machine Learning
Expert systems is an early AI computer system designed to mimic the decision-making ability of human experts. This system relies on a knowledge base (a database of information and rules), an inference engine and a user interface. An example of this is Akinator or an ATM.
Machine Learning is the process of giving a computer a set of data so it can make connections and draw conclusions based on the data without the need for instructions. It uses a weighting system and the data you give it to learn what you want. An example of this is facial recognition in social media apps or video platforms making recommendations on what to watch next. Want more everyday examples? CLICK HERE.
Natural Language Processing
NLP helps computers communicate with humans in our language and makes other language-related tasks more efficient. With NLP, computers can read text, hear speech, interpret words, measure sentiment, and determine which parts are important.
NLP interprets human language using many different techniques, such as statistical and machine learning methods as well as rules-based and algorithmic approaches. Essentially, NLP breaks down language into shorter pieces, tries to understand the relationship between the pieces, and explores how the pieces work together to create meaning.
Neural Networks
Experiment with an online Neural Network HERE!
E-book on Neural Networks: http://neuralnetworksanddeeplearning.com/
Building an Artificial Neural Network Activity/Game:
https://drive.google.com/file/d/178LKFhSwn4QY5GjJRhdtU0Jol907s8zy/view
Resources
Ideas: artist images to identify artwork, shapes to identify geometric shapes, classify library call numbers, identify people based on characteristics.
Generative AI
7 Steps to Enterprise GenAI Growth in 2024
https://research.aimultiple.com/generative-ai/
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