SenseMap is a visual analytics tool designed to help users effectively explore, analyze, and gain insight from complex sensor data by mapping it visually.

Let’s build a massive crosswalk connecting map data with just Wikidata, DuckDB, some Ruby, and a hard-won bash one-liner. This article argues that the primary practical value of Wikidata lies in its function as a massive, centralized “crosswalk file” that effectively links countless identifiers and data points across the semantic web.

The illustrator Chris Ware surveys the work of Richard Scarry. This article from The Yale Review explores the thematic and artistic contrast between the works of the adult graphic novelist Chris Ware and the iconic children’s illustrator Richard Scarry, analyzing their respective depictions of society and anxiety.

This article examines the phenomenon of “character amnesia” in China, where the increasing reliance on digital devices and pinyin input systems is causing many people to forget how to write Chinese characters by hand.

List of open source low-code tools in GitHub. The oss-lowcode-tools GitHub repository is an awesome list that curates and categorizes various open-source low-code and no-code tools for building applications and workflows.

A privacy-preserving home security camera that uses end-to-end encryption. (Secluso was previously named Privastead.) Secluso is a command-line tool designed for securely managing application secrets within various cloud computing environments.

The impact of AI on the workforce will be influenced by what different institutions throughout society—including businesses, nonprofit institutions, worker organizations, colleges and universities, and government—choose to do to guide its development and use.

This blog post shares the key professional and technical lessons the author learned over four years working in the field of Data Engineering, covering topics like infrastructure, pipelines, and career growth.

Enjoy the world’s most relaxing music player, combined with a powerful white noise machine. Online and free.

The map above shows how much houses cost in 1950 in each US state in 2024 inflation adjusted US dollars, compared to what the average cost actually is in 2024.

Psst, kid, want some cheap and small LLMs? This blog post provides a comprehensive guide on how to set up and use llama.cpp, a C++ library, to efficiently run large language models (LLMs) locally on consumer hardware.

Live a calm, stress-free financial life with PaperMoney. Paper Money is a simple, self-hosted budgeting and expense tracking application designed to help users manage their personal finances with a focus on ease of use and privacy.

The article introduces and explains the “Copper Sushi” project, which involves simulating and visualizing the complex, real-time power flow dynamics across the interconnected European electricity grid.

The Deep Learning Course (DLC) website provides comprehensive lecture notes, slides, and supplementary materials for a university-level course focused on the fundamentals and applications of deep learning.

The Rules of Machine Learning guide provides a set of best practices and distilled wisdom from Google engineers for building, deploying, and maintaining robust and effective Machine Learning systems in production.

This Nature Neuroscience article discusses the emerging role and potential applications of large language models (LLMs) in accelerating research and advancing understanding within the field of neuroscience.

This article explores the historical development of cuneiform, detailing how the ancient Sumerians invented the world’s first known writing system for practical purposes like accounting and record-keeping.

Stay up to date with the latest Google AI experiments, innovative tools, and technology. Explore the future of AI responsibly with Google Labs. Google Labs serves as the showcase and testing ground for experimental and early-stage products and features developed by Google, allowing users to try new ideas before they are widely released.

The Data Viz Project is a comprehensive online resource that catalogs and describes over 100 different types of data visualization methods, helping users choose the most effective graph for their data.

This Distill publication provides an explorable explanation and interactive visualization to clearly illustrate the concepts and mechanisms underlying Bayesian Neural Networks.