New to Artificial Intelligence? Here are some ressources that help you get started. Check out the other categories in the Vault for tools, training courses and so on. The recommendations here should provide you a solid basis for starting to understand, use, and deep dive everything AI.
IBM provides a well-structured overview of the main areas of AI and covers all relevant fields such as machine learning, AI agents, generative AI, risks, and so on. Videos with additional explanatory content are included. If you start fresh, this site is a good first primer.
Updates on AI research, news and technological breakthroughts. Collaboration with NVIDIA this year on AI research. Entertaining and accessible. If you want to catch up on the latest AI developments in video format, this channel is well suited.
Far from perfect and somehow dated, but still a compelling read. Domingos outlines five approaches of machine learning and develops the famous claim that „All knowledge – past, present, and future – can be deduced from data by a single, universal learning algorithm.’“ It is an interesting introduction to AI, and one that is still relevant today.
This book asks the big questions about Artificial Intelligence. About its impact on our future, about the big risks, about how it can attribute to prosperity. AGI is one of the topics among many others. If you want to be part of the broad conversation, this is a good read. And still very relevant.
Understanding the foundations of Machine Learning within roughly a few days is possible. Burkov delivers on what the title promises. Short, concise overview of the most important concepts, easy to grasp and enrichted by the right amount of math for beginners.
Written by a Computer Scientist, this is actually a book that is interesting, coherent, and accessible. Covers many of the overall „big“ questions about AI and what role it will play in our lives. While to fully up-to-date anymore, this book still is high on my recommendation list.
Three sections (prophecy, agency, normativity) structure this publication, and they are all full of captivating stories, insights and facts on the impact of AI and especially how the blackbox nature of AI poses real challenges.
In 2023, the emerging capabilities of AI as a transformative force were more clearly understood, and thus the debate on an AI-driven future was more nunanced. Coming from one of the most renowned AI CEOs, this book vividly describes the risks of AI and how to contain them.
AI Snake Oil? The term describes – simplified – AI systems that will not deliver the results that they were marketed for. The whole book is recommendable for cutting through industry hype and pointing out the risiks, limits, and shortcomings of the technology.
This is a classic university textbook and most likely on every academic syllabus in AI. Not beginner friendly. Over 1000 pages of comprehensive on, well, almost everything. Reasoning, Machine Learning, Robotics, NLP, and much more. I found this to be one of the most rewarding books on AI.