Artificial Intelligence
《人工智能》
The book divides artificial intelligence into two traditions — thinking, built on logic and search, and acting, built on probability and statistics…
Artificial Intelligence
Classic Index 96
Artificial Intelligence
人工智能
Explore machine intelligence, computing, and the future of humanity.
13 books
Artificial Intelligence
《人工智能》
The book divides artificial intelligence into two traditions — thinking, built on logic and search, and acting, built on probability and statistics…
Artificial Intelligence
Classic Index 96
Superintelligence
《超级智能》
Writing before superintelligence existed, Bostrom systematically asked how much leverage humanity would retain once an intelligence far beyond our…
Artificial Intelligence
Classic Index 94
Deep Learning
《深度学习》
A textbook by three founders of deep learning that begins with linear algebra, probability, and numerical computation and builds up to convolutional…
Artificial Intelligence
Classic Index 93
Reinforcement Learning
《强化学习导论》
This book distills “learning how to act” into a single problem: an agent improves its policy from a reward signal through repeated interaction with…
Artificial Intelligence
Classic Index 90
Human Compatible
《AI 新生》
Russell proposes a solution that looks like a concession but is in fact demanding: do not give machines explicit objectives; make them uncertain…
Artificial Intelligence
Classic Index 90
Life 3.0
《生命 3.0》
Tegmark organizes a very broad question — from near-term automation and unemployment to a cosmos-scale intelligence — with a simple frame: life 1.0…
Artificial Intelligence
Classic Index 88
The Alignment Problem
《人机对齐》
Christian splits alignment into three layers: the objectives a model learns may not be the ones we intend, the biases it inherits from data may…
Artificial Intelligence
Classic Index 87
AI Superpowers
《AI·未来》
Lee contrasts two Chinas — one of ubiquitous mobile payment and data scale, one of Silicon Valley's research tradition. He argues that China's edge…
Artificial Intelligence
Classic Index 86
The Master Algorithm
《终极算法》
Domingos sorts machine learning into five schools — symbolists, connectionists, evolutionaries, Bayesians, and analogizers — and conjectures a…
Artificial Intelligence
Classic Index 85
The Age of AI
《人工智能时代与人类未来》
Kissinger, Schmidt, and Huttenlocher argue that AI is not merely an efficiency tool but a new epistemology: its answers often cannot be fully…
Artificial Intelligence
Classic Index 84
AI 2041
《AI 2041》
Lee and science-fiction writer Chen Qiufan pair ten short stories with ten technical commentaries, each explaining why the technology in the story…
Artificial Intelligence
Classic Index 82
Genius Makers
《天才制造者》
Metz reports on how deep learning moved from academic margin to industrial center around 2012: a competition, a handful of companies, a few…
Artificial Intelligence
Classic Index 80