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AI Tools#NotebookLM📝 BlogAnalyzed: Jan 3, 2026 07:09

The complete guide to NotebookLM

Published:Dec 31, 2025 10:30
1 min read
Fast Company

Analysis

The article provides a concise overview of NotebookLM, highlighting its key features and benefits. It emphasizes its utility for organizing, analyzing, and summarizing information from various sources. The inclusion of examples and setup instructions makes it accessible to users. The article also praises the search functionalities, particularly the 'Fast Research' feature.
Reference

“NotebookLM is the most useful free AI tool of 2025. It has twin superpowers. You can use it to find, analyze, and search through a collection of documents, notes, links, or files. You can then use NotebookLM to visualize your material as a slide deck, infographic, report— even an audio or video summary.”

PermalinkFast Company
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 09:43

ViInfographicVQA: A Benchmark for Single and Multi-image Visual Question Answering on Vietnamese Infographics

Published:Dec 13, 2025 18:37
1 min read
ArXiv

Analysis

This article introduces ViInfographicVQA, a new benchmark dataset for Visual Question Answering (VQA) specifically focused on Vietnamese infographics. The research likely aims to evaluate and improve the performance of AI models in understanding and answering questions related to visual information presented in Vietnamese. The focus on Vietnamese language and infographics suggests a niche area of research, potentially addressing a gap in existing VQA datasets.
Reference

“The article likely discusses the dataset's creation, characteristics, and potential uses for training and evaluating VQA models.”

PermalinkArXiv
Research#llm📝 BlogAnalyzed: Dec 26, 2025 10:32

An AI Overview 2025 (by the numbers)

Published:Dec 11, 2025 10:35
1 min read
AI Supremacy

Analysis

This article provides a high-level overview of the AI landscape as projected for 2025, likely drawing from various AI reports. It questions the perceived adoption rate of AI chatbots among American teenagers, suggesting it might be lower than expected. The mention of Anthropic's rise in Enterprise AI, coupled with infographics, indicates a focus on practical AI applications in business. The author's agreement and disagreement with existing reports suggests a critical and nuanced perspective, offering potentially valuable insights into the current state and future direction of AI. The use of infographics implies a data-driven approach to presenting information.
Reference

“Rise of Anthropic in Enterprise AI in Infographics.”

PermalinkAI Supremacy
Research#AI Engineering📝 BlogAnalyzed: Jan 3, 2026 06:49

AI Engineering Goes Mainstream

Published:Jun 13, 2025 18:08
1 min read
Latent Space

Analysis

The article announces a recap of the AI Engineer World's Fair 2025, suggesting a focus on the practical application and widespread adoption of AI engineering. The mention of exclusive infographic summaries from Thoth.ai indicates a data-driven or visual component to the recap.

Key Takeaways

Reference

“N/A”

PermalinkLatent Space
Research#llm🏛️ OfficialAnalyzed: Dec 24, 2025 11:49

Google's ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Published:Mar 19, 2024 20:15
1 min read
Google Research

Analysis

This article introduces ScreenAI, a novel vision-language model designed to understand and interact with user interfaces (UIs) and infographics. The model builds upon the PaLI architecture, incorporating a flexible patching strategy. A key innovation is the Screen Annotation task, which enables the model to identify UI elements and generate screen descriptions for training large language models (LLMs). The article highlights ScreenAI's state-of-the-art performance on various UI- and infographic-based tasks, demonstrating its ability to answer questions, navigate UIs, and summarize information. The model's relatively small size (5B parameters) and strong performance suggest a promising approach for building efficient and effective visual language models for human-machine interaction.
Reference

“ScreenAI improves upon the PaLI architecture with the flexible patching strategy from pix2struct.”

PermalinkGoogle Research