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MIT physicist Sanjoy Mahajan's textbook 'The Art of Insight in Science and Engineering' is available for free on MIT OpenCourseWare, teaching nine mental tools for tackling complex problems effectively.
The MIT textbook 'Mathematics for Computer Science' has been translated into Japanese and is available at inzkyk.xyz.
The third edition of the Speech and Language Processing textbook by Jurafsky and Martin was released in January 2026, featuring a clear explanation of Transformers and various updates including new chapters on ASR, TTS, and DPO.
The Jan 6, 2026 draft of the 3rd edition of 'Speech and Language Processing' by Dan Jurafsky and James H. Martin is released, featuring a revised structure with a focus on large language models and updated chapters.
A tweet highlights the Transformer architecture chapter from Jurafsky and Martin's textbook, praising its clear and mathematically grounded explanation of self-attention, multi-head attention, and related mechanisms.
MIT Press published the robotics textbook 'Introduction to Autonomous Robots' on GitHub for free under Creative Commons, covering foundational topics for undergraduates.
MIT has made the entire 'Deep Learning' textbook by Goodfellow, Bengio, and Courville freely available online without paywall or signup, providing over 800 pages of foundational knowledge.
Steven Brunton announces his new book 'Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control', with pre-order available and accompanying free PDF, YouTube videos, and Python code.
Math Academy’s tech lead has released for free the textbook written for America’s most advanced high-school math and computer-science courses, distilling lessons from the Eurisko program (2020-2023) that guided students through graduate-level work.
An open, unconventional textbook covering mathematics, computer science, and artificial intelligence from first principles, including an MCP server for AI assistants to use as a knowledge base.
An open-source textbook on Machine Learning Systems from Harvard, covering principles and practices of engineering AI systems, with companion labs and kits.
An open textbook covering computational principles of autonomous robots, available as source code on GitHub and as a print version from MIT Press.