20 results for current filters

Reshuffle
Choudary reframes AI not as automation but as coordination mechanism reshaping entire economic systems and power structures

Taming Silicon Valley
NYU cognitive scientist Gary Marcus delivers an urgent call for AI regulation before Big Tech's unchecked power destroys democracy

The AI-Driven Leader
Woods' practical framework for using AI as a strategic thought partner, not just automation tool. CRIT method transforms executive decision-making.

AI Engineering
Chip Huyen's practical guide to building production AI systems beyond research prototypes.

Co-Intelligence
Ethan Mollick's guide to working effectively with AI systems like ChatGPT and Claude.

LLM Engineers Handbook
Paul Iusztin's hands-on framework for building production-ready LLM systems, featuring the innovative LLM Twin concept for AI personalization.

Verified
Caulfield's practical guide to combating misinformation with the SIFT methodology—fact-checking any online claim in 30 seconds.

Impromptu
Reid Hoffman co-writes with GPT-4 itself, creating a unique conversation about AI's potential to amplify human creativity and solve challenges.

Natural Language Processing with Transformers
Master transformer architectures and large language models with Lewis Tunstall's practical guide.

Designing Machine Learning Systems
Chip Huyen's practical guide to building machine learning systems that work in production.

Scary Smart
Mo Gawdat's warning that AI will be a billion times smarter by 2049, and only we can teach machines to be good parents to humanity

Citizen's Guide to Artificial Intelligence
Zerilli demystifies AI's societal impact, from healthcare algorithms to criminal justice - essential reading for navigating our algorithmic age.

Competing in the Age of AI
Marco Iansiti on how AI is reshaping competition and business strategy

Deep Learning for the Life Sciences
Bharath Ramsundar's practical guide to applying deep learning across genomics, drug discovery, microscopy, and molecular design for life sciences

The Hundred-Page Machine Learning Book
Burkov's impossibly concise distillation of machine learning into 100 pages—math, intuition, and practical algorithms for practitioners.

Prediction machines
Agrawal reframes AI as cheap prediction - an economic lens that transforms how we understand artificial intelligence's impact

Hello world
Hannah Fry's tour through the good, bad and ugly of algorithms that decide who goes to jail, gets healthcare, and drives our cars

Artificial Unintelligence
Broussard exposes technochauvinism - the belief tech solves everything - through adventures in driverless cars and biased algorithms

Machine learning
Alpaydin's accessible primer on machine learning as 'the new AI' — algorithms that learn from data to power voice recognition and driverless cars.

Introduction to AI robotics
Murphy's foundational textbook on AI robotics, covering the hierarchical, reactive, and hybrid paradigms that organize intelligence in robots.