Thursday, January 18, 2024

50 Best AI Technical Websites

50 Best AI Technical Websites:

  • OpenAI: Leading research lab with open-source projects like ChatGPT and DALL-E 2.
  • Machine Learning Mastery: Comprehensive blog by Jason Brownlee on all things machine learning.
  • AWS AI Blog: Official blog from Amazon Web Services covering AI, machine learning, and deep learning.
  • BAIR Blog: Blog by the Berkeley Artificial Intelligence Research group with in-depth research articles.
  • Google AI Blog: Official blog from Google AI with news, research updates, and technical articles.
  • arXiv: Open-access repository for scientific papers, including many on AI and related fields.
  • DeepMind Blog: Blog by DeepMind, Google's AI research lab, focusing on advanced AI research.
  • Papers With Code: Platform for searching and tracking research papers in machine learning and AI.
  • JMLR: Journal of Machine Learning Research, a prestigious peer-reviewed journal for AI research.
  • MIT Technology Review AI: News and analysis on AI from MIT Technology Review.
  • Stanford AI100: Annual report ranking the top 100 AI labs in the world.
  • Kaggle: Online platform for hosting data science competitions and sharing code.
  • Fast.ai: Open-source deep learning library with a focus on accessibility and speed.
  • Hugging Face: Hub for open-source AI models and datasets, including Transformers and Datasets.
  • PyTorch Blog: Blog by the PyTorch deep learning framework team with tutorials and technical articles.
  • TensorFlow Blog: Blog by the TensorFlow deep learning framework team with news and technical articles.
  • Colah's blog: Blog by Jeremy Howard, one of the creators of Fast.ai, with insightful explanations of AI concepts.
  • Lex Fridman Podcast: Podcast hosted by AI researcher Lex Fridman, interviewing prominent figures in AI.
  • Lex Fridman AI: YouTube channel by Lex Fridman with lectures, discussions, and interviews on AI.
  • Two Minute Papers: YouTube channel providing concise summaries of research papers in AI and science.
  • 3Blue1Brown: YouTube channel explaining complex mathematical concepts in a visually engaging way, relevant to AI.
  • AI Today Podcast: Podcast hosted by Omri Lahav, covering news and trends in AI.
  • Lex Fridman AI Newsletter: Weekly newsletter by Lex Fridman with curated AI news and resources.
  • Andrej Karpathy Blog: Blog by Andrej Karpathy, Tesla AI researcher, on computer vision and deep learning.
  • Yann LeCun Blog: Blog by Yann LeCun, Meta AI chief scientist, on AI research and philosophy.
  • The Gradient: Online publication covering news and research in AI and deep learning.
  • Distill: Online publication by Two Minute Papers team, focusing on explaining complex AI concepts.
  • AI Safety Podcast: Podcast hosted by Stuart Russell and Dario Amodei, discussing AI safety and ethics.
  • Machine Learning Crash Course: Free online course by Google AI on the fundamentals of machine learning.
  • 3Blue1Brown Linear Algebra: Free online course by 3Blue1Brown on linear algebra, essential for AI.
  • Deep Learning Book: Online book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, a comprehensive introduction to deep learning.
  • Dive into Deep Learning: Online book by Aston Zhang, Zack C. Lipton, Mu Li, and Alexander J. Smola, a practical guide to deep learning.
  • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow: Book by Aurélien Géron, a practical guide to building machine learning models with Python libraries.
  • Deep Learning from Scratch: Book by Sebastian Raschka, building deep learning models from scratch without relying on existing libraries.
  • Artificial Intelligence: A Modern Approach: Book by Stuart Russell and Peter Norvig, a classic textbook on the fundamentals of AI.
  • Machine Learning: A Probabilistic Perspective: Book by Kevin P. Murphy, a probabilistic approach to machine learning.
  • Deep Learning with Python: Book by François Chollet, creator of Keras, a hands-on guide to deep learning with Python.
  • Natural Language Processing with PyTorch: Book by Delip Rao and Brian McMahan, a comprehensive guide to NLP with PyTorch.
  • Computer Vision: Algorithms and Applications: Book by Richard Szeliski, a comprehensive textbook on computer vision.
  • The Alan Turing Institute: UK's national institute for research and public engagement in AI.
  • Institute for Ethics in AI: Non-profit organization promoting ethical development and use of AI.
  • Partnership on AI: Collaborative effort by tech companies and research institutions to address AI challenges.
  • Future of Life Institute: Non-profit focused on ensuring safe and beneficial development of AI.
  • Center for Security and Emerging Technology: Georgetown University think tank analyzing AI's impact on security.
  • Black in AI: Organization supporting and promoting diversity and inclusion in AI.
  • Women in Machine Learning: Community supporting women in machine learning research and practice.
  • OpenAI API: Platform for accessing OpenAI's powerful AI models like GPT-3 and DALL-E 2.
  • Google AI Platform: Suite of tools and services for building and deploying AI models on Google Cloud.
  • Microsoft Azure AI: Suite of AI and machine learning tools and services on Microsoft Azure platform.
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