5 posts tagged with "AI"

TLDR This article explores how to enhance data visualization using ControlNet-Canny, inspired by historical Zoomorphic Maps. By leveraging AI tools like ComfyUI and ControlNet, we can infuse charts with thematic elements while preserving their data integrity, creating more engaging and contextually relevant visualizations. The experiment demonstrates a modern approach to an age-old cartographic technique of making data more expressive and meaningful through creative visual representation.

TLDR This article documents my experimental attempt at creating pixel art animations using AI tools. Through exploring different approaches like ComfyUI, I tried to generate character sprite sheets for a simple running animation. While the results are still preliminary and face several challenges, this experiment provides some insights into combining AI with pixel art creation. The article shares my learning process and the technical workflow I developed, hoping it might be helpful for others interested in similar experiments.

TLDR

The study investigates the involvement of automation in narrative visualization tools, summarizing six genres: annotated charts, infographics, timelines & storylines, data comics, scrollytelling & slideshow, and data videos. It categorizes four types of tools:design spaces, authoring tools, ML/AI-supported tools, and ML/AI-generator tools according to their intelligence and automation levels. By surveying 105 papers and tools, the study explores how automation can progressively engage in visualization design and narrative processes to aid users in creating narrative visualizations. It aims to provide an overview of current research and development, identifies key research problems in each category, and suggests opportunities for further investigation in this domain.

TLDR

This article provides a comprehensive overview of artificial intelligence (AI), covering its fundamental concepts, historical development, and key milestones. Starting with a basic definition of intelligence as a system that maps inputs to specific outputs, it explores important events like the 1956 Dartmouth Conference that established AI as an academic field, and the emergence of connectionism in 1958 which introduced neural network approaches. The article includes detailed explanations, diagrams, and mathematical concepts to help understand AI's theoretical foundations and practical implementations.

TLDR

LIDA is a novel tool for generating grammar-agnostic visualizations and infographics. It addresses several key challenges in automatic visualization creation:

1. Understanding data semantics
2. Enumerating visualization goals
3. Generating visualization specifications

The system uses a multi-stage pipeline powered by large language models (LLMs) and image generation models (IGMs). It consists of 4 main modules:

1. SUMMARIZER: Converts data into compact natural language summaries
2. GOAL EXPLORER: Identifies potential visualization goals based on the data
3. VISGENERATOR: Handles visualization code generation, refinement and filtering
4. INFOGRAPHER: Creates data-driven stylized graphics using IGMs

LIDA provides both a Python API and an interactive user interface supporting direct manipulation and multilingual natural language for generating charts, infographics and data stories.