Andrew Ng
Co-founded Google Brain and Coursera, and taught the machine learning course that introduced millions of people outside academia to the field.
Andrew Ng (b. 1976) has arguably done more than anyone to make machine learning teachable outside a research lab. His Stanford CS229 course and its Coursera adaptation, first launched in 2011, introduced millions of students to gradient descentGradient DescentGradient descent is the optimization algorithm that trains models by repeatedly stepping parameters in the opposite direction of the loss function's gradient., regularizationRegularizationRegularization is any technique that trades some training-data fit for better generalization, fighting overfitting on purpose., and the practical craft of building models — often as their literal first exposure to the field. He co-founded Coursera itself in 2012 with Daphne Koller, betting that university-quality courses could be delivered online at essentially unlimited scale.
On the research and industry side, Ng co-founded Google Brain in 2011, where large-scale unsupervised learning experiments (including a famous 2012 result where a neural networkNeural NetworkA neural network is layers of simple weighted-sum-plus-nonlinearity units (neurons) chained together, trained by gradient descent and backpropagation. learned to recognize cats from unlabeled YouTube video frames, without ever being told what a cat was) demonstrated that scaling deep learningDeep LearningDeep learning is machine learning using multi-layer neural networks, which learn their own features from raw data instead of relying on hand-engineered ones. on distributed hardware could uncover meaningful structure without hand-labeled data. He later served as Chief Scientist at Baidu, leading its AIAI (Artificial Intelligence)AI is the field of building systems that perform tasks normally requiring human intelligence — reasoning, perception, language, and decision-making. Group, and founded Landing AI and DeepLearning.AI, both focused on applying machine learningMachine Learning (ML)Machine learning is the practice of writing programs that learn a function from data, via a loss function and an optimizer, instead of following hand-written rules. in industrial and educational settings respectively.
Ng has been a consistent voice for the "AI as the new electricity" framing — that machine learning is a general-purpose technology set to transform most industries the way electrification did — and for prioritizing practical, applied AI education over purely theoretical research.
Learn more: ML Fundamentals · Wikipedia: Andrew Ng
Demis Hassabis
Co-founded DeepMind and led AlphaGo, AlphaFold, and Gemini — spanning reinforcement learning breakthroughs, a Nobel Prize-winning protein-folding model, and frontier LLMs.
Dario Amodei
Co-founded Anthropic in 2021 after leading safety research at OpenAI, betting that safety and capability research need to happen inside the same lab building frontier models.