You will watch six short video films about Artificial Intelligence.
Each video touches upon the particular aspect of AI which is also described in the text "Artificial Intelligence - what it is and why it matters?".
As you watch match the videos 1-6 with the appropriate paragraphs A-G in the text.
ARTIFICIAL INTELLIGENCE - WHAT IT IS AND WHY IT MATTERS?
(A) Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans.
(B) The birth of the artificial intelligence conversation was denoted by Alan Turing's seminal work, "Computing Machinery and Intelligence", which was published in 1950 In the paper, Turing—famous for breaking the Nazi's ENIGMA code during WWII—proposes to answer the question 'can machines think?' and introduces the Turing Test to determine if a computer can demonstrate the same intelligence or the results of the same intelligence as a human. While the "Turing Test" has undergone much scrutiny since its publication, it remains an important part of the history of AI. Turing's paper " Computing Machinery and Intelligence" and its subsequent Turing Test, established the fundamental goal and vision of artificial intelligence.
(C) The term “AI” was first coined at the first-ever AI workshop at Dartmouth college in 1956 by a scientist called John McCarthy. The attendees of this workshop and their students produced programs that the press described as "astonishing": computers were learning checkers strategies, solving word problems in algebra, proving logical theorems and speaking English. John McCarthy contributed greatly to the development of the AI field. He worked on various Artificial Intelligence languages, such as Lisp, and he also developed a kind of automatic memory management called the "garbage collection" method, to solve performance problems.
(D) To understand how AI actually works, one needs to deep dive into its various sub-domains:
Machine Learning teaches a machine how to make inferences and decisions based on past experience. It identifies patterns, analyses past data to infer the meaning of these data points to reach a possible conclusion without having to involve human experience. Deep Learning teaches a machine to process input through layers in order to classify, infer and predict the outcome.
Neural Networks work on similar principles to human neural cells. They are a series of algorithms that capture the relationship between various underlying variables and process the data as a human brain does.
Natural Language Processing (NLP) is a science of reading, understanding, and interpreting a language by a machine. Once a machine understands what the user intends to communicate, it responds accordingly.
Computer Vision: Computer vision algorithms try to understand an image by breaking down an image and studying different parts of the object. This helps the machine to classify and learn from a set of images, to make a better output decision based on previous observations.
(E) Artificial Intelligence is the invisible force shaping our present. When you shop online, AI analyses your preferences to recommend the perfect products. At home, digital assistants like Alexa or Siri use it to understand your voice commands and manage your schedule. Traveling abroad? AI-powered translation apps can instantly break down language barriers and help you have pleasant conversations wherever you go. From simplifying daily tasks to protecting our information, AI is quietly revolutionizing the way we interact with the world.
(F) AI significantly enhances university education by personalizing learning and automating routine tasks. AI tools like adaptive platforms tailor content to individual student needs, improving engagement and outcomes—studies show grade improvements of up to 15% in AI-supported courses. Tools like intelligent tutoring systems provide round-the-clock assistance, supporting diverse learning styles and needs. They also automate grading and administrative work, freeing teaching staff for research and personalized teaching. However ethical issues, such as plagiarism risks from generative AI like ChatGPT, demand new assessment strategies - prompting shifts toward project-based assessments over traditional exams.
(G) Artificial Intelligence has grown to be very popular in today’s world. As technologies such as AI continue to grow, they will have a great impact on our quality of life. It’s but natural that everyone today wants to connect with AI technology somehow, maybe as an end-user or pursuing a career in Artificial Intelligence. Artificial intelligence is not only impacting the future of every industry and every human being but has also acted as the main driver of emerging technologies like Big Data, robotics and Internet of Things (IoT). Considering its growth rate, it will continue to act as a technological innovator for the foreseeable future.