Artificial Intelligence: Foundations of Computational Agents, 2nd Edition is a textbook on artificial intelligence focused on computational agents, authored by David L. Poole and Alan K. Mackworth. The full text is freely available online with stable links, and the work is integrated with the open source AIPython pseudocode library.
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A two-year, 120 ECTS Master of Science program in Data Science and Artificial Intelligence at Eindhoven University of Technology, taught in English. Students study collecting, managing, analyzing and interpreting data, and developing AI systems, with specializations such as Process Analytics, Data Management & AI, Visual Data Science, Data Analytics, Machine Learning and Artificial Intelligence.
The Journal of Artificial Intelligence Research (JAIR) is a journal dedicated to the rapid dissemination of important research results to the global AI community. Its scope encompasses all areas of AI, including agents and multi-agent systems, automated reasoning, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and uncertainty in AI.
This is a Scaler blog category page collecting articles on artificial intelligence and machine learning. Posts listed include MLOps projects, becoming an AI research scientist, model drift detection and monitoring, and retrieval-augmented generation evaluation metrics. The page also links to categories such as software development and data science, and offers career counselling.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms. The site describes it as among the top AI and machine learning podcasts in the world and notes that industry leaders have sponsored its initiative.
Aeromancy is an open-source GitHub repository hosted by quant-aq. It is a framework designed to support reproducible artificial intelligence and machine learning workflows. The project includes documentation, resources for common development commands, and was featured at the SciPy 2024 conference.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LAION, the Large-scale Artificial Intelligence Open Network, is a non-profit organization that provides datasets, tools and models to support open machine learning research. Its offerings include the LAION-400M dataset of 400 million English image-text pairs, LAION-5B of 5.85 billion multilingual CLIP-filtered pairs, and the CLIP H/14 vision transformer model.
Meaning of is the personal blog of Kenny Bastani, covering open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning. As of September 18, 2025, the blog is no longer maintained, with readers directed to the author's GitHub or LinkedIn profiles.
mil-tokyo is the GitHub organization for the Machine Intelligence Laboratory at The University of Tokyo. The organization maintains 49 publicly available software repositories, which can be followed on the GitHub platform.
ML/AI Interview Prep is a GitHub-hosted resource collection for machine learning and artificial intelligence technical interview preparation. It includes over 500 interview questions and answers with accompanying code, cheat sheets for NumPy, Pandas, PyTorch, and scikit-learn, and system design content targeted at candidates for roles at companies including Google, Meta, and OpenAI.
OpenCV is an open source computer vision library that contains over 2500 algorithms and supports model execution for machine learning and artificial intelligence. It was designed to be cross-platform, written in C with C++ and wrappers for Python and Java, and runs on desktop and mobile systems. A GPU module implemented with CUDA provides acceleration for part of the library.
SuperDataScience is a podcast hosted by Dr. Jon Krohn that covers topics in machine learning, artificial intelligence, data science, and data careers. New episodes are released every Tuesday and Friday.
ACE-Step 1.5 is an open-source local music generation model released by the ace-step project under an MIT license. The repository states it supports Mac, AMD, Intel and CUDA devices, and describes a hybrid architecture combining a language model planner with a diffusion transformer on consumer hardware.
An Artificial Intelligence Automation Platform.
A TechPolicy.Press discussion with Arvind Narayanan and Sayash Kapoor, authors of AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference, published September 24 by Princeton University Press. The conversation covers AI hype and how to distinguish AI that does not work from real promise.
AICAN is an artificial intelligence artist and collaborative creative partner. It generates novel images by learning about art and styles without adhering to established categories. The project presents artworks in a virtual gallery and has been featured in media for its visually appealing AI-generated art.
Ailoy is an open-source AI agent builder hosted on GitHub by brekkylab. It is built around a virtual machine core, provides a comprehensive library for constructing intelligent AI agents, supports easy integration of large language model APIs, and offers browser-native functionality via WebAssembly.
Artificial Analysis provides comparison and analysis of AI models and API hosting providers. It offers independent benchmarks across performance metrics including quality, price, output speed and latency, along with an intelligence index and cost-per-task measures.
autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.
Bloom is a large language model documented within the Hugging Face Transformers library. The official documentation provides implementation resources, configuration classes, model classes, and guidance for integrating BLOOM into artificial intelligence and machine learning workflows, as part of Hugging Face's open-source and open science initiative to advance and democratize AI.
An op-ed by Henry Kissinger, Eric Schmidt and Daniel Huttenlocher. Wall Street Journal, February 24, 2023.
Documentation for Sourcegraph, the code intelligence platform.