Quirks of machine learning interpretations of images. The dataset interrogation/inspection of the original 1st edition Advanced Dungeons&Dragons Players Handbook cover, correctly grabs there is a giant monster like face in the background and that the cover is about D&D. But when you take all the phrases and ask it to push out an image based on what it thinks in the image. It makes a more modern godzilla monster, and it actually makes a group of people playing a rpg at a table beneath the monster.
I added the trade dress manually to the image, for effect.
Imagine the field day the Satanic Panic group would have had if this were the cover of the PHB in the 80s.
Could the intergalactic DJ, adorned in bling and garbed in a cosmic couture spacesuit, be spinning ethereal beats from the skull-shaped sound system that defy our terrestrial musical norms?
Im morgigen #DigitalHistoryOFK stellt Marten Düring (C2DH) das Projekt #Impresso vor, das nicht nur eine Vielzahl von historischen Medien wie Zeitungen & Radioquellen sprach- & ländergrenzenübergreifend recherchierbar macht, sondern auch über die Verknüpfung mit #MachineLearning-Methoden datengetriebene Forschung & neue Perspektiven fördert.
Die 1. Sitzung ist wieder ausgewählten Abschlussarbeiten gewidmet:
Julia Pabst untersucht, wie #MachineLearning in der #Epigraphik zur Identifikation von Wappen & Inschriften eingesetzt werden kann & Lukas Germann widmet sich den Herausforderungen der Analyse von #Twitter-Daten.
Secrets of Machine Learning: How It Works and What It Means for You by Tom Kohn, 2024
Cutting through the mass of technical literature on machine learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important.
Societal Impacts of Artificial Intelligence and Machine Learning by Carlo Lipizzi
This book goes beyond the current hype of expectations generated by the news on artificial intelligence and machine learning by analyzing realistic expectations for society, its limitations, and possible future scenarios for the use of this technology in our current society.
🥁 In the final session of our #DigitalHistoryOFK for this semester, we welcome Thea Sommerschield (University of Nottingham), who will introduce us to the current trends, challenges & future prospects in the field of #MachineLearning and #generativeAI for the study of Ancient Languages and media (from cuneiform to carbonised papyri). Not to be missed!
How can we use #MachineLearning techniques to analyze the impact of the industrial revolution and its technologies on human life? @mia (British Library) & Kaspar Beelen (School of Advanced Study, University of London) explore this question in this week's #DigitalHistoryOFK by looking at one of the biggest #DigitalHumanities projects in the UK: #LivingWithMachines. Not to be missed!
Fake Intelligence is where we try to simulate intelligence by feeding huge amounts of dubious information to algorithms we don’t fully understand to create approximations of human behaviour where the safeguards that moderate the real thing provided by family, community, culture, personal responsibility, reputation, and ethics are replaced by norms that satisfy the profit motive of corporate entities.