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Hier kann man eigene maschinellen Lernmodellen trainieren, um Texte, Zahlen sowie Bilder zu klassifizieren.

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An educational tool for teaching kids about machine learning, by letting them train a computer to recognise text, pictures, numbers, or sounds, and then make things with it in tools like Scratch.

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EVA beschreibt das Grundprinzip des Datenverarbeitungsprozess.

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Hier wird die Struktur und der Lernprozess eines neuronalen Netzwerkes erklärt.

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Hier sieht man, wie Fehler beim maschinellen Lernen entstehen.

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Anleitung für eine App zur Gesichtserkennung mit Scratch.

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Anleitung zum Trainieren eines Chatbot-Modells.

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Anleitung zur Erstellung der App mit Scratch

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Ein Algorithmus ist eine Abfolge von Anweisungen, die etwas (eine Eingabe) in etwas anderes (eine Ausgabe) umwandelt. Ein Algorithmus, der ein Sandwich macht, verwandelt beispielsweise eine Reihe von Zutaten (Brot, Erdnussbutter und Marmelade) in ein leckeres Mittagessen (ein PB&J-Sandwich).

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Ein Datensatz ist eine Sammlung von kuratierten Daten. Es müssen nicht nur Zahlen sein! Es kann sich um Bilder, Zeitspannen, die Anzahl der YouTube-Aufrufe, alle Texte und Emojis, die Sie jemals verschickt haben, oder sogar Video- und Audioaufnahmen handeln.

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Inhalte verstehen, zusammenfassen, generieren und vorhersagen

Bilder erkennen und generieren

Spracherkennung und -verarbeitung (Virtuelle Assistenten)

Physische Steuerung (Robotik)

Relevante Inhalte suchen und auswählen (Empfehlungen, Suchmaschinen, Social Media Feed)

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Can a neural network learn to recognize doodles? See how well it does with your drawings and help teach it, just by playing.

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Bilder erkennen, beim Erstellen unterstützen

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Bilder erkennen, beim Erstellen unterstützen

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Fast drawing for everyone. AutoDraw pairs machine learning with drawings from talented artists to help you draw stuff fast.

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Google Flow Music is a generative AI platform for creating, remixing, and sharing studio-quality songs. Direct music videos, vibe-code new instruments, and personalize your sound effortlessly.

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Create AI images from text with Craiyon. Generate, explore, and edit images online.

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Beim überwachten Lernen (Supervised Machine Learning) stellen Menschen den Algorithmen ein vorbereitetes Set an Daten als Trainingsquelle zur Verfügung. Das Ergebnis ist also bereits bekannt. Die Aufgabe der Algorithmen liegt nur darin, das Muster zu erkennen: Warum gehört diese Information in Kategorie A und nicht in Kategorie B?

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Anyone can learn computer science. Make games, apps and art with code.

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So lernen Maschinen: #5 Unüberwachtes Lernen

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Ein GAN (Generative Adversarial Networks) kann große Datenmengen analysieren und daraus ähnliche Datensätze generieren.

GAN-generierte Personen: https://this-person-does-not-exist.com/en

GAN-generierte Ponys: https://thisponydoesnotexist.net/

GAN-generierte Autos: https://www.thisautomobiledoesnotexist.com/

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Generator of fake portraits

People tend not to think about the effect that neural networks have on our lives, because usually, we see the result of its work and not the "face" of a neural network. Perhaps that is why the generator of fake photos became the main topic of discussion for several weeks in the media devoted to technology at the end of 2020. Not everyone was able to guess that AI could generate a realistic face of a non-existent person in a couple of seconds. Fake portraits look very realistic and it's frightening. If AI can create faces for itself and can text like real people, then what is going to happen next?

Generator of fake faces of non-existent humans

We are talking about the website thispersondoesnotexist.com ("this person does not exist dot com") and are going to tell of the history and areas of application. The way the generator works will be explained further.

The AI face generator is powered by StyleGAN, a neural network from Nvidia developed in 2018. GAN consists of 2 competing neural networks, one generates something, and the second tries to find whether results are real or generated by the first. Training ends when the first neural network begins to constantly deceive the second.

An interesting point is that the creation of photographs of non-existent people was a by- product: the main goal was to train the AI to recognize fake faces and faces in general. The company needed this to improve the performance of its video cards by automatically recognizing faces and applying other rendering algorithms to them. However, since

the StyleGAN code is publicly available, an engineer at Uber was able to take it and create a random face generator that rocked the internet.

About the generator

For the user, everything works very simply. As soon as you are on the website random face is generated. You can download the picture if you want. Refresh the page if you don't like the person that you are seeing. If you see the same face, just wait a couple of seconds, and refresh the page again. The website shows the results of the generator's work (which are updated every 2-3 seconds) not the generator itself.

How to recognize an image of a fake person

It is almost impossible to recognise an image of a fake person. AI is so developed that 90% of fakes are not recognized by an ordinary person and 50% are not recognized by an experienced photographer. There are no services for recognition. Occasionally, a neural network makes mistakes, which is why artifacts appear: an incorrectly bent pattern, a strange hair color, and so on.

The only thing you need to do is take a closer look: humans' visual processing systems are far stronger than computers', so it is possible to recognise forgery by detection.

Jevin West and Carl Bergstrom created a website called "Which Face Is Real", which is focused on teaching people to be more analytical of potentially false portraits. Before making suggestions that a person in a photo is existent, there are several things that need to be considered.

One of the most common ones is symmetrical issues, in particular eyeglasses and earrings.

Same uneven issues with teeth are quite common too. Look for odd characteristics like pixels and repeated incisors. Fake hair, in general, may seem with some glow around it or look too straight and streaked, again, with visible asymmetry.

Study background carefully. If it's fake, it may include unusual distortions in shapes and lines, or have a torn appearance overall. Bleed-through occurs in bright colors that stand out from the background onto a fake person's head.

Another distinguishing feature of the NVIDIA "StyleGAN algorithm" is glossy "water splotches".

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ThisPersonDoesNotExist - Random AI Generated Photos of Fake Persons

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Generate random human face in 1 click and download it! AI generated fake person photos: man, woman or child.

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KÜNSTLICHE INTELLIGENZ vs. MACHINE LEARNING vs. DEEP LEARNING

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KI KONKRET. Künstliche Intelligenz - einfach erklärt

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Create stunning original music for free in seconds using our AI generator. Make your own masterpieces, share with friends, and discover music from artists worldwide.

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Das Wissensquiz rund um Künstliche Intelligenz (KI) * Kinderuni OÖ

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Bereit, dein Wissen über künstliche Intelligenz (KI) auf die Probe zu stellen? Wie gut kennst du dich mit KI aus? Weißt du, welche Aufgaben eine KI heute schon besonders gut erledigen kann? Welche Risiken und Chancen bringt der Einsatz von KI mit sich? Setara-Anna Lorenz, Dozentin der KinderUni OÖ, hat für dich interessante Fragen zusammengestellt.

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Train a computer to recognize your own images, sounds, & poses. A fast, easy way to create machine learning models for your sites, apps, and more - no expertise or coding required.

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Create melodies with the help of maestro composers.

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Use ChatGPT to answer questions, write, create images, complete work, and code-all in one place. Get started for free or download the app.

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Digitale Tools mit KI-Assistenz für Schulen

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Alle hilfreichen Tools an einem Platz: Einfach. Datenschutzfreundlich. Sicher. ✅ DSGVO konform ✅ Mit und für Lehrer*innen entwickelt

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DeepL Übersetzer: Der präziseste Übersetzer der Welt

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Übersetzen Sie Texte und ganze Dateien im Handumdrehen. Präzise Übersetzungen für Einzelnutzer und Teams. Jeden Tag nutzen Millionen von Menschen DeepL.

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Blob Opera is an addictive musical game where the player’s goal is to control the blobs like a real singer to compose original opera music.

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Face Swap - a Hugging Face Space by tonyassi

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Discover amazing ML apps made by the community

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Fast Stable Diffusion - a Hugging Face Space by prodia

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Discover amazing ML apps made by the community

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OpenGPT 4o - a Hugging Face Space by KingNish