This LibGuide offers a comprehensive introduction to AI, including its applications in education, research, and daily life. It is a work in progress that will be regularly updated with new materials, tools, studies, and developments.
Artificial Intelligence (AI) is the design, implementation, and use of programs, machines, and systems that exhibit human intelligence, having the capability of computer programs or machines to think, learn and take actions. Its most important activities are knowledge representation, reasoning, and learning. It is the developement of computer systems that can perform tasks autonously, ingesting and analyzing enournous volumes of data, then recogninzing patterns in that data. AI encompasses a number of important subareas, including voice recognition, image identification, natural language processing, expert systems, neural networks, planning, robotics, and intelligent agents. Several important programming techniques have also been enhanced by artificial intelligence researchers, including classical search, probabilistic search, and logic programming.
Sources: 1. Salem Press Encyclopedia of Science, 2. Nvidia
Narrow (weak) AI: Specialized to perform limited tasks, either in number or cognitive demand.
General (strong) AI: Capable of showing general knowledge and function similar to humans in at least one type of performance or domain of knowledge..
Superintelligent AI: Capable of greater-than-human capacity or function.
Source: IBO
Generative AI (GenAI)
Generative AI is a technology with huge potential to create completely new content, such as text, images, music, and videos. Compared to traditional AI, which analyzes data and makes predictions, generative AI creates new content by applying patterns it has learned from large datasets.
Traditional AI vs. Generative AI
Traditional AI is used for such tasks as search engines, chatbots, and recommendation systems. It acts based on set rules and searches data but can't generate something new.
Generative AI can generate new material by recognizing patterns in data. It is typically used in writing, design, music, coding, and marketing.
How Generative AI Works?
Generative AI uses deep learning algorithms that have been taught using vast amounts of data. They learn from existing material and create something new that is akin in looks or sound but distinct. While there is a fear that AI will replace human imagination, it is more of an aid that helps humans to work faster and explore new frontiers.
Key Uses of Generative AI
Text Generation: AI helps write articles, generate reports, edit text, and even write computer code.
Image Generation: AI programs like DALL-E and Adobe Firefly convert text descriptions into real or stylized images.
Music Generation: AI can generate new melodies based on existing forms of music.
Video Generation: AI helps create and edit videos, automatically adding captions and improving footage.
Marketing & Design: AI speeds up business content production with the creation of ads, product descriptions, and graphics.
The Future of Generative AI
Generative AI is evolving rapidly. Future breakthroughs could allow AI to generate 3D models, edit videos with simple text commands, and generate even more realistic virtual content. Generative AI is revolutionizing sectors by allowing it to be quicker, easier, and more convenient for humans to produce content. In technology, business, or art, it is helping people turn ideas into reality in innovative and engaging ways.
Explore the historical timeline of artificial intelligence, from its inception in the 1950s to modern-day applications and global AI summits, by clicking on the image below.
Source: University of Oxford
Follow the links below to find AI related glossaries.
Do you want to be informed about the new books, papers, journals and talks related to AI?
Then click below:
for printed books: Anatolia Libraries Online Catalog
for e-books, journals, etc: Online Library
A type of AI that uses algorithms to find patterns in data without explicit instruction and incorporates aspects of computer science, mathematics, and coding. ML is a system might learn how to associate features of inputs such as images with outputs such as labels. It is usually used to predict trends and behavious or provide other useful outputs without human assistance, such as translating texts.
Sources: 1. American Association for the Advancement of Science , 2. UK Parliament
Deep Learning refers to the use of multi-layered Artificial Neural Networks (ANN) that mimic the structure of human brain-neurons for recognising patterns from unstructured data and provide a suitable output without supervision. It is suitable for complec learning tasks as it doesn't need an algorithm to run.
Sources: 1. American Association for the Advancement of Science , 2. UK Parliament
NLP is a computer’s attempt to “understand” spoken or written language. It must parse vocabulary, grammar, and intent, and allow for variation in language use. Algorithms look for linguistic patterns in how sentences and paragraphs are constructed and how words, context and structure work together to create meaning.
Sources: 1. American Association for the Advancement of Science , 2. UK Parliament
AI is enhancing education, but several misconceptions create uncertainty about its role.
AI Will Replace Teachers: AI automates tasks like grading, allowing teachers to focus on student engagement and personalized learning. It supports, rather than replaces, human educators.
AI Implementation in Schools is Too Difficult: Schools can gradually adopt AI through strategic steps like assessing readiness and training staff, making implementation manageable.
AI Will Eliminate Hands-On, Human Instruction: AI enhances learning with simulations and personalized feedback while teachers focus on social-emotional skills and critical thinking.
Using AI is Cheating: When used ethically, AI aids research and problem-solving. Schools should set guidelines to ensure responsible use
AI Poses Security Risks: Schools must choose AI vendors that prioritize data privacy and encryption to ensure student information remains protected.
AI is a powerful educational tool when used responsibly. It enhances teaching, supports students, and streamlines administrative tasks without replacing human interaction.
Source: PowerSchool