TECHNOLOGY ARTIFICIAL PREPARED BY SITI NURSYAHIDAH MUHAMMAD AKMAL HAZIQ AZURA SITI NUR UZMA INTELLIGENCE
G R O U P M E M B E R W E S T M O N T H I G H U N D E R G R A D U A T E T H E S I S 2 0 1 9 SITI NUR UZMA BINTI MOHD NASIR AZURA BINTI JAMALUDIN MUHD AKMAL HAZIQ BIN AHMAD AZIZI SIT NURSYAHIDAH BINTI SUHAILI
WHAT IS ARTIFICIAL INTELLIGENCE ? Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns.(Britton, 2023) AI is an umbrella term that encompasses a wide variety of technologies, including machine learning, deep learning, and natural language processing (NLP). Although the term is commonly used to describe a range of different technologies in use today, many disagree on whether these actually constitute artificial intelligence. Instead, some argue that much of the technology used in the real world today actually constitutes highly advanced machine learning that is simply a first step towards true artificial intelligence, or “general artificial intelligence” (GAI). Yet, despite the many philosophical disagreements over whether “true” intelligent machines actually exist, when most people use the term AI today, they’re referring to a suite of machine learningpowered technologies, such as Chat GPT or computer vision, that enable machines to perform tasks that previously only humans can do like generating written content, steering a car, or analyzing data.
WHAT IS ARTIFICIAL INTELLIGENCE ? What is intelligence? 1. The ability to learn, understand, and make judgments or have opinions that are based on reason. (Cambridge Dictionary) 2. The ability to learn and understand things quickly and easily Collins dictionary : A judgment is an opinion that you have or express after thinking carefully about something. Based on the meaning of Intelligence, we can find that intelligence involves following activities; Learning – ability to obtain new information Understanding – Knowledge of particular things or subject Make judgement – Can make an opinion about something carefully before making decision Reasoning – Being able to manipulate information According to IBM, Artificial intelligence, or AI, is technology that enables computers and machines to simulate human intelligence and problemsolving capabilities. On the other hand, Google conclude that Artificial intelligence (AI) is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data, make recommendations, and more. We can say in our understanding that AI is a system based on technology that have ability like a human intelligence such as understanding, reasoning, make a judgement by collecting the data and analyze, translate, and solve a problem.
timeline history Golden Age of Science Fiction 1938 - 1946 1949 1950 1955 1956 1963 1965 1968 Manchester Mark 1 The First Storted programme computer invented Can Machine Thinks? - Alan Turing Logic theorist, first AI program, is invented Dartmouth summer Research Project on Artificial Intelligence DARPA funds AI at MIT Moore’s Law Arthur Clarke, and Steve Kubrik predicted AI in 2001 M. Minsky predicted machine that have general intelligence like human; from 3 to 8 years Edward Feigenbaum introduces expert systems Japan’s fifth generation computer project Navlab, the first autonomous car, is built by Carnegie Melon 1970 1980 1982 1986
timeline history 1997 Deep Blue defeats Gary Kasparov in chess first publicly available speech recognition software developed by Dragons System 1997 21st Century Reality check: more realistic expectations Multimodal AI Small(er) language models and open source advancements GPU shortages and cloud costs Model optimization is getting more accessible Customized local models and data pipelines More powerful virtual agents Regulation, copyright and ethical AI concerns Shadow AI (and corporate AI policies)
HISTORY OF ARTIFICIAL INTELLIGENCE The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain. The field of AI research was founded at a workshop held on the campus of Dartmouth College, USA during the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation, and they were given millions of dollars to make this vision come true.
HISTORY OF ARTIFICIAL INTELLIGENCE Eventually, it became obvious that researchers had grossly underestimated the difficulty of the project. In 1974, in response to the criticism from James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence, and the difficult years that followed would later be known as an "AI winter". Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 1980s the investors became disillusioned and withdrew funding again. Investment and interest in AI boomed in the 2020s when machine learning was successfully applied to many problems in academia and industry due to new methods, the application of powerful computer hardware, and the collection of immense data sets.
ARTIFICIAL INTELLIGENCE TODAY Artificial intelligence (AI) is pervasive across various applications, and there are numerous AI-powered apps that are likely still in use today. Here are some categories along with examples of popular AI apps within each: 1.Virtual Assistants: Siri (Apple) Google Assistant (Google) Amazon Alexa (Amazon) Cortana (Microsoft) 2.Healthcare: Babylon Health: Offers virtual consultations and symptom checking. Ada Health: Provides personalized health assessments. HealthTap: Connects users with doctors for virtual consultations. 3.Language Processing: Grammarly: Assists with grammar checking and writing improvement. Replika: AI chatbot designed for conversation and mental health support. Otter.ai: Transcribes meetings, interviews, and lectures in real-time.
ARTIFICIAL INTELLIGENCE TODAY 4. Navigation and Transportation: Google Maps: Offers route optimization, real-time traffic updates, and location-based recommendations. Waze: Provides community-driven navigation with real-time updates on traffic and road conditions. Uber/Lyft: Utilizes AI for ride-hailing, route optimization, and pricing algorithms. 5. Social Media and Content Creation: TikTok: Uses AI for personalized content recommendations and video editing features. Adobe Photoshop Camera: Applies AI-powered filters and effects to photos in real-time. Prisma: Transforms photos into artworks using AI-based style transfer. 6. E-commerce and Retail: Amazon: Employs AI for product recommendations, inventory management, and customer service. Alibaba: Utilizes AI for personalized shopping recommendations and targeted advertising. Stitch Fix: Provides personalized styling recommendations based on customer preferences and AI algorithms.