24 results for current filters
Reshuffle
Choudary reframes AI not as automation but as coordination mechanism reshaping entire economic systems and power structures
Introduction to AI Safety, Ethics, and Society
Dan Hendrycks on AI Safety, Ethics, and Society's critical challenges
Code-Dependent
Murgia exposes how AI systems encode discrimination and bias into our daily lives.
AI Engineering
Chip Huyen's practical guide to building production AI systems beyond research prototypes.
Four Battlegrounds
Paul Scharre exposes the AI arms race between superpowers through four key battlegrounds: data, chips, talent, and institutions
Designing Machine Learning Systems
Chip Huyen's practical guide to building machine learning systems that work in production.
Natural Language Processing with Transformers
Master transformer architectures and large language models with Lewis Tunstall's practical guide.
A Thousand Brains
Jeff Hawkins' theory of how the brain's cortical columns could revolutionize AI and consciousness.
Atlas of AI
Kate Crawford maps AI's hidden infrastructure and its human costs.
Competing in the Age of AI
Marco Iansiti on how AI is reshaping competition and business strategy
Costs of Connection
Nick Couldry exposes 'data colonialism'—how tech giants extract personal data to fuel a new phase of capitalist exploitation
Rebooting AI
Gary Marcus and Ernest Davis expose the gap between AI hype and reality, advocating for common sense over statistical learning.
Artificial Intelligence
Santa Fe Institute professor Melanie Mitchell's measured critique of AI hype, exploring why machines excel at chess but mistake buses for ostriches
Ghost Work
Mary L. Gray exposes the invisible army of 'ghost workers' who train AI and power Silicon Valley's digital economy—for poverty wages.
Prediction machines
Agrawal reframes AI as cheap prediction - an economic lens that transforms how we understand artificial intelligence's impact
Architects of Intelligence
Martin Ford interviews 23 AI luminaries like Hinton, LeCun, and Hassabis to reveal the truth about artificial intelligence from its creators
The Book of Why
Judea Pearl's revolutionary framework for understanding causality and the do-operator that transforms how we think about cause and effect
Deep Learning
Ian Goodfellow's definitive 800-page textbook on deep learning - the comprehensive mathematical foundation for modern AI
Weapons of Math Destruction
Cathy O'Neil exposes how algorithms perpetuate inequality and discrimination in modern society.
The Master Algorithm
Pedro Domingos seeks the ultimate learning algorithm that will reshape civilization itself.
Computer Vision
Szeliski's authoritative guide to computer vision algorithms and applications
Pattern Recognition and Machine Learning
Bishop's definitive machine learning textbook covering probabilistic models and pattern recognition fundamentals.
Introduction to AI robotics
Murphy's foundational textbook on AI robotics, covering the hierarchical, reactive, and hybrid paradigms that organize intelligence in robots.
Speech and language processing
Jurafsky's foundational guide to computational language understanding and speech processing.