deep-learning
A neural network-based AI technique that learns from large datasets through backpropagation, which enabled major breakthroughs in computer vision starting with AlexNet.
3 chapters across 2 books
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma (2023)Mustafa Suleyman; Michael Bhaskar
Chapter 2 traces humanity's progressive mastery over atoms, bits, and genes, culminating in a transformative technological wave driven by artificial intelligence and synthetic biology. It highlights the evolution from material-based technologies to information-centric innovations and the accelerating, interconnected growth of multiple advanced technologies. The chapter also details the breakthrough of deep learning in AI, exemplified by AlexNet, which revolutionized computer vision and catalyzed widespread real-world applications.
Chapter 4, "The Technology of Intelligence," explores the evolution and impact of artificial intelligence technologies, particularly focusing on advances in deep learning, neural networks, and large language models. It discusses milestones such as AlphaGo, AlexNet, and the development of massive transformer models like GPT-3 and MT-NLG, highlighting their increasing complexity and applications. The chapter also addresses challenges including biases, ethical concerns, and debates on AI's future capabilities and limitations.
AI 2041 / by Kai-Fu Lee and Chen Qiufan (2021)Kai-Fu Lee and Chen Qiufan
This chapter serves as an introduction to the book 'AI 2041' by Kai-Fu Lee and Chen Qiufan, outlining the evolution and current state of artificial intelligence from its academic origins to its widespread commercial applications. Kai-Fu Lee reflects on AI's transformative breakthroughs, such as AlphaGo and protein folding, and addresses common misconceptions fueled by science fiction and media. He emphasizes a balanced, realistic view of AI's future impact on society, highlighting both its potential benefits and challenges over the next two decades.