“Policy must be based on science, not science fiction.”
— Fei-Fei Li
We live in an era dominated by noise, hype, and deep conflicts of interest surrounding science and technology. Whether attending specialist conferences or engaging in everyday conversations, I constantly notice that most of us, if not all, are talking about terms, models, and technologies that we either don't truly understand or are simply copying and pasting press releases and urban myths. Perhaps this is because our sources of information are fundamentally inadequate.
For years, I have been trying to compile a list of sources that help me approach the Fourth Industrial Revolution as simply, seriously, and reliably as possible. This list grows every day with high-quality spaces that I love to dive into and study for days on end.
As a visual designer, my primary interest lies in Computer Vision, Vision-Language (VL) models, 3D Vision, Spatial AI, and related fields. However, I have made a conscious effort to include broader AI research and critical and philosophical voices.
Geographically, the list is divided, perhaps a bit loosely, into four major regions: the USA, China, the EU & UK, and the Rest of the World. Knowledge, of course, has no borders; my goal was simply to look beyond the standard Western sources that typically dominate our side of the world.
This directory is an ongoing project. I would be grateful for your suggestions, recommendations, and feedback.
Charis Tsevis
Last updated: May 2026
The Global Guide to High-Quality AI Sources
A Curated Directory for Researchers, Practitioners, and Critical Thinkers
1. Scientific & Academic Sources
Computer Vision, Spatial & Graphics Research
United States
CVPR / ICCV / ECCV Proceedings
Focus: The absolute zenith of computer vision research. This is where foundational architectures (like ResNet, Transformers in Vision, and major segmentation models) are unveiled.
IEEE TPAMI (Transactions on Pattern Analysis and Machine Intelligence)
Focus:High-impact, deeply theoretical journal focusing on pattern recognition, statistical machine learning, and structural graphics parsing.
Link:IEEE Xplore: TPAMI
Stanford Vision and Learning Lab (SVL)
Focus: Led historically by Fei-Fei Li and premier faculty; pioneers 3D spatial scene understanding, neuro-symbolic design, and large-scale visual-language grounding.
Link:Stanford SVL
UC Berkeley Artificial Intelligence Research (BAIR)
Focus: The gold standard for robot perception, unsupervised visual representation, and pixel-to-vector spatial mechanics.
Link:Berkeley BAIR
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Focus:Computational photography, foundational geometric topology, neuro-visual processing, and generative graphics discovery.
Link:MIT CSAIL Vision
China
Tsinghua University Computer Vision Group
Focus: High-efficiency neural architectures, advanced structural video parsing, point-cloud transformations, and real-time inference optimization.
Chinese Journal of Computers (English Edition)
Focus: Peer-reviewed breakthroughs in advanced structural graphics, document analysis, and localized spatial parsing methodologies.
PRCV (Pattern Recognition and Computer Vision) Proceedings
Focus:China's primary collaborative ecosystem displaying algorithmic adaptations for industrial inspection, extreme data multi-modality, and massive video analytics pipelines.
European Union & United Kingdom
University of Oxford Visual Geometry Group (VGG)
Focus:The historical architects of modern visual feature recognition and spatial geometry deep learning. Essential for geometry-first pipelines.
Link:Oxford VGG
INRIA Willow (France)
Focus: Deep mathematical formalisms for 3D reconstruction, human-centric object tracking, and strict geometric structural constraints.
Link:INRIA Willow Project
ETH Zürich Computer Vision Lab (CVL)
Focus:Global frontrunners in Neural Radiance Fields (NeRF), 3D Gaussian Splatting, dense camera localization, and autonomous rendering hardware optimization.
Link:ETH Zürich CVL
Max Planck Institute for Intelligent Systems (Perceiving Systems Department)
Focus:Pioneers in translating 2D imagery into highly precise 3D human/mesh structures. Crucial for advanced topological and manifold research.
Link: MPI Perceiving Systems
INSAIT (Institute for Computer Science, Artificial Intelligence and Technology, Bulgaria)
Focus: An elite Eastern European hub driving massive breakthroughs in multi-modal vision-language architecture engineering.
Link:INSAIT Bulgaria
India
CVIT (Center for Visual Information Technology), IIIT Hyderabad
Focus: South Asia's leader in document AI, complex structural scene parsing, script recognition architectures, and non-Western cultural representation datasets.
Link: IIIT Hyderabad CVIT
Video Analytics Lab (VAL), IISc Bangalore
Focus: Strict mathematical frameworks for video telemetry, mathematical compressive sensing, and robust optimization under severe visual noise.
Link: IISc Bangalore VAL
ICVGIP Proceedings
Focus:The Indian Conference on Computer Vision, Graphics and Image Processing. Showcases regional deep-tech advances in biomedical, agricultural, and structural vision geometry.
Link:ICVGIP Portal
Rest of the World
KAUST Visual Computing Center (Saudi Arabia)
Focus:Extreme environment imaging, high-fidelity underwater simulation parsing, and low-light engineering optimization frameworks.
Link:KAUST VCC
University of Tokyo AI Center / Ishikawa Group
Focus:Ultra-high-speed computer vision systems, hardware-entangled visual tracking, and tactile, embodied human-robot visual interaction.
General AI & Machine Learning Research (Non-Computer Vision)
United States
arXiv (Computer Science / Statistics)
Focus:The definitive, zero-delay repository for global technical preprints in Deep Learning (cs.LG), General AI (cs.AI), and Machine Learning (stat.ML).
Link:arXiv cs.LG| arXiv cs.AI
NeurIPS / ICML / ICLR Proceedings
Focus: The holy trinity of ML scientific literature. Focuses heavily on optimization paradigms, neural architectures, information theory, and transformer scaling mathematics.
JMLR (Journal of Machine Learning Research)
Focus:Rigidly peer-reviewed, open-access haven hosting deep mathematical proofs, statistical learning theory bounds, and absolute algorithmic validation benchmarks.
Link:JMLR Open Source
China
Science China Information Sciences
Focus:Premier academic publishing channel out of top state labs focusing on distributed model orchestration rules, optimization equations, and hardware-aware scaling boundaries.
Chinese Academy of Sciences (CAS) AI Repositories
Focus:Direct institutional portals broadcasting systemic whitepapers, industrial grid-computing metrics, and foundational state-backed software research summaries.
Link:CAS Official Portal
Tsinghua AIR (Institute for AI Industry Research)
Focus: Multi-modal baseline execution rules, bio-informatics ML scaling laws, and hyper-efficient neural parameter training methodologies.
Link:Tsinghua AIR
European Union & United Kingdom
ELLIS Society Publications (European Laboratory for Learning and Intelligent Systems)
Focus: A pan-European powerhouse ecosystem producing cutting-edge foundational papers on probabilistic modeling, geometry-aware deep learning, and robust AI systems.
Link:ELLIS Society
The Alan Turing Institute
Focus:The UK’s national institute for data science and AI. Specializes in trusted data mechanics, systemic verification structures, and applied predictive modeling.
India
IndiaAI Research Initiative
Focus:National government-curated strategic whitepapers, technical dataset design blueprints, and computational infrastructure optimization maps for low-resource environments.
IIIT-Delhi AI & Data Science Publications
Focus:Advanced structural speech translation matrices, low-resource multilingual tokenizers, and dialectal robust classification methodologies.
Link:IIIT-Delhi Research
TIFR (Tata Institute of Fundamental Research) Machine Learning Group
Focus: Deep mathematics, high-dimensional convergence guarantees, and fundamental informational physics driving deep network topologies.
Rest of the World
Mila (Montreal Institute for Learning Algorithms, Canada)
Focus: Global epicenter for deep learning conceptual foundations, generative modeling math, and interdisciplinary AI safety systems.
Link:Mila Montreal
CSIRO Data61 (Australia)
Focus:Scalable industrial deployment frameworks, extreme spatial dataset tracking math, and hardware-constrained environmental modeling systems.
Link:CSIRO Data61
AFRALTI AI Research Network (Pan-Africa)
Focus:Decentralized local language token architectures, low-bandwidth parameter training pipelines, and indigenous data sovereign frameworks.
Link:AFRALTI Network
2. Technical & Practical Sources
Computer Vision Tools, Structural Models & Datasets
United States
Papers with Code (Computer Vision Leaderboards)
Focus: The single best resource to benchmark visual architectures. Tracks state-of-the-art models for semantic segmentations, edge extraction, vectorization, and 3D depth approximations.
PyTorch Hub (Vision)
Focus:Raw, production-ready, highly modular model definitions directly importable into custom Python codeblocks (e.g., ResNets, SAM, DINO variants).
Link:PyTorch Vision Hub
NVIDIA NGC Catalog (Optimized Vision Models)
Focus: Pure hardware performance. High-throughput TensorRT-optimized architectures designed for edge inference, manifold computing, and extreme deployment pipelines.
Hugging Face Tasks (Computer Vision Hub)
Focus: The premier interface to test, download, and fine-tune open-weight vision models (Segmentation, Object Detection, Depth, Image-to-Image).
China
ModelScope (Alibaba Open-Source Infrastructure)
Focus:China's primary massive Model-as-a-Service repository. Hosts cutting-edge vision networks, multi-modal systems, and rapid fine-tuning script blocks.
Link:ModelScope Portal
OpenGVLab (GitHub Ecosystem)
Focus:Home to world-class vision foundations like the InternVL series and advanced vision-language models optimized for multi-modal analysis.
Link:OpenGVLab on GitHub
PaddlePaddle Model Zoo (Baidu)
Focus:Industrial-grade, high-velocity vision models built specifically for edge hardware acceleration and industrial production safety parameters.
European Union & United Kingdom
Intel OpenVINO Model Zoo
Focus:Advanced quantization toolkits mapping heavy vision models down to lean execution blocks optimized across all structural Intel/x86 configurations.
Roboflow Universe
Focus:Millions of user-contributed, open-source computer vision datasets complete with spatial annotations, structural polygons, and clean export formatting.
India
CVIT Open-Source Code Repositories
Focus:Practical source code implementations for extreme scene processing, structural text segmentation, and unique domain road mapping engines.
Link:CVIT GitHub Org
India Data Portal (Spatial & Municipal Vision)
Focus:Open spatial geographic information, complex infrastructure tracking models, and municipal physical asset maps.
Rest of the World
NAVER Clova AI Research (South Korea)
Focus:World-class text recognition (OCR) engines, layout parsing networks, and precise spatial typography localization frameworks.
Kakao Brain Open Source (South Korea)
Focus:Advanced visual generation, high-fidelity image restoration, and efficient parameter-optimized multi-modal models.
Link:Kakao Brain Research
MBZUAI (Mohamed bin Zayed University of Artificial Intelligence, UAE)
Focus:Dedicated open code repositories for low-resource semantic segmentation, overhead satellite imagery data, and Arabic-centric multi-modal structures.
Link:MBZUAI Github Hub
General AI & ML Tools, Models & Core Infrastructure
United States
Hugging Face Model Registry
Focus:The global town square for open-weight neural assets across LLMs, multi-modal models, embedding matrices, and evaluation metrics.
GitHub Trending (AI/ML Filter)
Focus:Real-time engineering heartbeat. Spotlights hyper-growth developer tooling, edge inference applications (like llama.cppor custom Python extensions), and framework integrations.
MLflow Model Registry / Linux Foundation AI & Data
Focus:Enterprise asset versioning, clear lineage ledger keeping, and secure containerization orchestration maps.
Weights & Biases Artifacts & Reports
Focus: Deep visual loss tracking, gradient descent metric logging, and collective multi-device hyperparameter optimization analytics.
China
OpenI (Open Intelligence Community Platform)
Focus: State-backed shared High-Performance Computing sandbox environments, open data-lakes, and collective model registries ensuring domestic standard convergence.
Link:OpenI Platform
ModelScope English Documentation Center
Focus:English-translated step-by-step setup manifests, framework orchestration guidelines, and deployment recipes for Chinese foundational models.
European Union & United Kingdom
ONNX (Open Neural Network Exchange) Model Hub
Focus: The industry-standard architecture abstraction layer. Converts models from PyTorch or TensorFlow into an ecosystem-agnostic runtime format for high-speed edge hardware deployment.
European AI Factory Infrastructure Repositories
Focus:Compute-scaling templates, massive dataset validation strategies, and energy-optimized training maps engineered directly for EuroHPC supercomputing grids.
India
IndiaAI Cloud Compute Platform Initiative
Focus:National sovereign GPU allocation strategies, cloud sandbox infrastructure execution scripts, and native enterprise startup resources.
iHub-Data Hub (IIIT Hyderabad Collective)
Focus:Industry-bridged data structures, strict engineering benchmark modules, and clean pipeline validation software components.
Rest of the World
World Bank Open AI & Development Deployment Ledger
Focus:Post-mortem analyses of algorithmic infrastructure builds, cross-continental technical field telemetry logs, and public system blueprints.
Link:World Bank Open Data
UNDP Digital Public Goods & AI Registry
Focus: Fully audit-clean open-source application software blocks, spatial local mapping code architectures, and verified public service templates.
3. Philosophical, Political, Critical & Social Sources on AI
Critical AI Journal (Rutgers University)
Focus:Groundbreaking interdisciplinary academic journal decoding the realities of automated computation, spatial extraction politics, and systemic cultural implications.
Link:Critical AI Journal
AI Now Institute
Focus: Vital diagnostic deep-dives into corporate compute monopolies, systemic infrastructure concentration dynamics, and national biometric regulation policies.
Link:AI Now Institute
Data & Society Research Institute
Focus:World-class ethnographic and structural investigations documenting exactly how algorithms alter human labor rights, race mechanics, and systemic human equity.
Link:Data & Society
AlgorithmWatch (EU)
Focus:Elite watchdog group reverse-engineering state surveillance mechanics, sorting metrics, and tracking automated bias metrics inside legal platforms.
Link:AlgorithmWatch
Ada Lovelace Institute (UK)
Focus:Rigorous, evidence-backed methodologies examining public data control models, biological telemetry parsing, and democratic public metric definitions.
Distributed AI Research Institute (DAIR)
Focus:Founded by Dr. Timnit Gebru. Champions non-extractive, decolonial data mechanics, community-powered model building, and strict critiques of tech-monopoly labor pipelines.
Link:DAIR Institute
UNESCO AI Ethics and Governance Observatory
Focus: Unified global comparative tracker assessing implementation standards of human rights declarations across 190+ nation-state regulatory bodies.
Link:UNESCO Ethics of AI
The Centre for Internet and Society (CIS, India)
Focus:Premier Global South policy research mapping algorithmic identity cards, financial dataset extraction architectures, and localized non-Western digital sovereignty paths.
Link:CIS India
ACM FAccT Conference Proceedings (Fairness, Accountability, and Transparency)
Focus: The highest-caliber peer-reviewed computer science literature examining automated mathematical bias detection, rigorous auditing code metrics, and clean model testing architectures.
Link:ACM FAccT Portal
Stanford Institute for Human-Centered AI (HAI)
Focus:Produces the comprehensive annual AI Index Report, monitoring global investment trends, compute utilization metrics, geopolitical patent filings, and performance milestones.
Link:Stanford HAI
Big Data & Society Journal
Focus:Peer-reviewed academic open-access journal offering rigorous sociological and political-economic critiques of digital infrastructure scaling laws.
4. [NEW SECTION] Geometry, Vectorization, Topology & Standards
To ensure your ongoing project serves your artistic philosophy—geometry-first vectorization, clean manifold reconstruction, and structural precision—you must track the bodies and platforms that govern vector topologies, CAD file formats, and advanced rendering mechanics.
W3C SVG (Scalable Vector Graphics) Working Group
Focus: The official international standards organization defining vector parsing behavior, coordinate precision models, dynamic path drawing attributes, and multi-platform path parsing capabilities.
The Khronos Group
Focus: The non-profit industrial consortium defining raw compute file open standards (such as OpenVX for vision, Vulkan for graphics processing, and glTF for 3D coordinate asset distribution).
Link:The Khronos Group
ACM SIGGRAPH / Eurographics
Focus: The absolute premier scientific hubs presenting foundational mathematical geometry algorithms (RANSAC optimization, Voronoi mesh tessellation boundaries, and Bézier patch generation matrices).
Links: ACM SIGGRAPH | Eurographics Association
CGAL (Computational Geometry Algorithms Library)
Focus: An elite open-source library providing easy, robust access to certified computational geometry code blocks (2D/3D triangulation, Voronoi diagrams, mesh generation, and polygon parsing).
Link:CGAL Project
Open Cascade Technology (OCCT)
Focus: A massive professional open-source 3D surface modeling kernel. Crucial for understanding industrial geometric boundary representations (B-Rep) and clean, manifold CNC-ready vector paths.