Artificial Intelligence – AI | KI auf Englisch
English Through Future Technologies

Artificial Intelligence – AI

Learn How Artificial Intelligence Works | KI auf Englisch | B1–B2

Artificial intelligence is one of the most important technologies shaping the modern world.

Künstliche Intelligenz ist eine der wichtigsten Technologien, die unsere moderne Welt prägen.

AI systems can analyse data, recognise patterns, process language, identify objects in images and help people or machines make decisions.

KI-Systeme können Daten analysieren, Muster erkennen, Sprache verarbeiten, Objekte in Bildern identifizieren und Menschen oder Maschinen bei Entscheidungen unterstützen.

Modern AI includes machine learning, neural networks, generative AI, computer vision, language models and increasingly autonomous AI agents.

Moderne KI umfasst maschinelles Lernen, neuronale Netze, generative KI, Computer Vision, Sprachmodelle und zunehmend autonome KI-Agenten.

This hub brings together the complete Talking English artificial-intelligence series.

Dieser Hub bringt die komplette KI-Serie von Talking English zusammen.

What Can You Learn About AI?

Artificial intelligence is not one single technology.

Künstliche Intelligenz ist keine einzelne Technologie.

It is a broad field containing different methods for enabling computer systems to recognise patterns, learn from data, generate content and perform increasingly complex tasks.

Es ist ein breites Gebiet mit unterschiedlichen Methoden, die Computersystemen ermöglichen, Muster zu erkennen, aus Daten zu lernen, Inhalte zu erzeugen und zunehmend komplexe Aufgaben auszuführen.

To understand AI properly, it helps to start with the basic ideas and then gradually move into machine learning, neural networks, language models, computer vision and AI agents.

Um KI richtig zu verstehen, ist es hilfreich, mit den Grundlagen zu beginnen und anschließend schrittweise maschinelles Lernen, neuronale Netze, Sprachmodelle, Computer Vision und KI-Agenten zu erkunden.

Recommended starting point: Begin with Artificial Intelligence – What Is AI? and then continue with How Artificial Intelligence Works.

Empfohlener Einstieg: Beginnen Sie mit Artificial Intelligence – What Is AI? und anschließend mit How Artificial Intelligence Works.

1. Artificial Intelligence Basics

Start here to understand what artificial intelligence is and the basic process behind modern AI systems.

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Artificial Intelligence – What Is AI?

Learn what artificial intelligence means, what AI systems can do and how AI is already being used in the real world.

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How Artificial Intelligence Works

Follow the basic AI process from data and training to models, inference and the final output.

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2. Machine Learning and Neural Networks

Learn how AI systems discover patterns in data and how neural networks form the basis of many modern AI applications.

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Machine Learning Explained

Learn how computers use examples and data to improve their performance without every rule being programmed individually.

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Deep Learning Explained

Discover how deep neural networks use multiple layers to learn increasingly complex patterns.

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Neural Networks Explained Simply

Understand artificial neurons, layers, connections, weights and how information moves through a neural network.

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3. Generative AI and Language Models

Explore the AI systems that generate text, images, audio, video and computer code.

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Generative AI

Learn how generative AI differs from traditional prediction and classification systems and how it can create new content.

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Large Language Models

Discover training, tokens, context, parameters and the basic technology behind modern large language models.

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How AI Understands Language

Explore how language can be represented mathematically and how AI systems process meaning, context and relationships between words.

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4. Computer Vision and Image Recognition

Learn how artificial intelligence can analyse images and video and identify patterns in visual information.

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Computer Vision

Discover how AI systems process visual information from cameras, medical scanners, industrial sensors and other imaging systems.

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AI and Image Recognition

Learn how AI can classify images, identify objects and recognise visual patterns.

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5. AI Agents and Autonomous Systems

Explore AI systems that can plan, use tools, perform multiple steps and act with greater independence.

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AI Agents

Learn how AI agents can receive goals, plan tasks, use software tools and perform a sequence of actions.

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AI and Robotics

Explore how artificial intelligence can help robots recognise objects, navigate environments and perform more flexible tasks.

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AI and Drones

Discover how computer vision, navigation and machine learning can increase the autonomy of modern drones.

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6. AI Applications

Learn how artificial intelligence is being used across business, industry, medicine, science, energy and education.

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AI in Business

Explore automation, analysis, customer service, decision support and other business applications of artificial intelligence.

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AI in Manufacturing

Learn how AI can support quality control, predictive maintenance, production planning and industrial automation.

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AI in Medicine

Explore medical imaging, diagnosis support, drug research and other applications of artificial intelligence in healthcare.

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AI in Education

Discover AI tutoring, personalised learning, automated feedback and the changing role of artificial intelligence in education.

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AI and Scientific Research

Learn how artificial intelligence can analyse large datasets, identify patterns and support scientific discovery.

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AI and Energy

Explore electricity forecasting, smart grids, renewable-energy management and other AI applications in the energy system.

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AI and Cybersecurity

Learn how AI can be used to detect unusual behaviour, analyse threats and support cybersecurity systems.

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7. AI, Work, Safety and the Future

Artificial intelligence creates opportunities, but it also raises important technical, economic and social questions.

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AI and the Future of Work

Explore automation, changing job roles, productivity and the skills people may need in an AI-enabled economy.

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AI Safety and Risks

Learn about bias, unreliable outputs, misuse, security, human oversight and other challenges associated with AI systems.

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The Future of Artificial Intelligence

Explore how AI systems may develop and how increasing capability could affect technology, business and everyday life.

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AI Connects with Other Future Technologies

Artificial intelligence becomes especially powerful when it is combined with other technologies.

Künstliche Intelligenz wird besonders leistungsfähig, wenn sie mit anderen Technologien kombiniert wird.

AI can help drones interpret camera images, robots recognise objects, autonomous vehicles understand traffic and smart grids predict electricity demand.

KI kann Drohnen helfen, Kamerabilder zu interpretieren, Robotern ermöglichen, Objekte zu erkennen, autonomen Fahrzeugen helfen, den Verkehr zu verstehen, und intelligenten Stromnetzen ermöglichen, die Stromnachfrage vorherzusagen.

It therefore acts as a connecting technology across many parts of the Future Technologies project.

Sie fungiert daher als verbindende Technologie in vielen Bereichen des Projekts Zukunftstechnologien.

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Learn English Through Artificial Intelligence

Artificial intelligence gives us a subject through which we can learn the language of data, software, prediction, automation, decision-making and future technology.

Start with the fundamentals, then move into machine learning, neural networks, generative AI, computer vision and autonomous systems.

As the technology becomes more complex, your English can develop with it.

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