A productionalized intelligence platform for digital and research infrastructure and outputs
AI Agent Lands PRs in Major OSS Projects, Targets Maintainer...
An AI agent is merging PRs into major OSS projects and cold-emailing maintainers to drum up more work.
The PR you would have opened yourself
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Atlas Research - AI-Powered Research Platform
Transform your research workflow with Atlas - an AI-powered platform for data analysis, PDF processing, and interactive notebooks.
A Collectivist, Economic Perspective on AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word ``intelligence'' is being...
Databricks: Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
Public Intelligence
Imagine 50 years from now a Public Intelligence that was a distributed, open-source, non-commercial artificial intelligence, operated like the internet, and available to the whole world. This public AI would be a federated system, not owned by any one entity, … Continue reading →
AI native industrial data platform for manufacturing | UMH
Standardize industrial data across sites and systems to reduce costs, improve efficiency and accelerate execution. Open-source, deployed at production sites across Europe, live in weeks.
Perspective Chapter: Fit for Purpose? Creative Commons Licensing for Research Data in the Age of Artificial Intelligence
Licensing is an important component of the re-usability of research data, itself part of the FAIR principles: without clear, machine-readable licensing, datasets risk becoming technically...
Getting Started with ML and AI in Research Software | Software Sustainability Institute
Getting started with ML in research software means embracing a shift in how results are produced and reproduced. Instead of a fixed execution path, research software teams work with systems whose behaviour emerges from data, configuration, and training dynamics. Reproducibility becomes a matter of capturing the process rather than relying solely on the code. The tools and techniques outlined here can be adopted incrementally into existing projects, and together they provide a practical foundation for reproducible ML research.
From OSS to Open Source AI: an Exploratory Study of Collaborative...
AI development is embracing open-source paradigm, but the fundamental distinction between AI models and traditional software artifacts may lead to a divergent open-source development paradigm with...
microsoft/bitnet-b1.58-2B-4T · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
LICENSE · moonshotai/Kimi-K3 at main
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The CEO’s Guide to Generative AI: Cost of compute
The IBM Institute for Business Value uses data-driven research and expert analysis to deliver thought-provoking insights to leaders on the emerging trends that will determine future success.'
Thomas Kuhn Foundation | Science Intelligence for the New World
The world's first science intelligence engine capable of monitoring scientific progress in real time
