The Artificial Intelligence scientists who are shaping the future of technology 🚀🤖
Artificial Intelligence (AI) is an area of Software Engineering that studies systems that exhibit behavior similar to that of the human level (Ris-Ala, 2023). This area is the result of the innovative work of great researchers.
Discover the names and books that are paving the way:
Yann LeCun, creator of Convolutional Networks (CNNs), which revolutionized computer vision. VP and Chief AI Scientist at Meta (Facebook). Winner of the 2018 Turing Award.
Geoffrey Hinton, developer of backpropagation and deep neural networks (Deep Learning). Scientist Emeritus at Google and professor at the University of Toronto. Winner of the 2024 Nobel Prize in Physics.
Peter Norvig, pioneer in Machine Learning applications. Director of Research at Google DeepMind.
Stuart Russell, pioneer in probabilistic reasoning and safety in AI. Professor at the University of California, Berkeley.
Andrew Barto, developer of the field of Reinforcement Learning. Professor Emeritus at the University of Massachusetts Amherst.
Richard Sutton, creator of fundamental reinforcement learning algorithms such as TD-Learning. Chief researcher at the Alberta Machine Intelligence Institute (Amii) and professor at the University of Alberta.
Andrew Ng, founder of the online Machine Learning course that has trained millions of people globally. Founder of Coursera and founder of DeepLearning.AI.
Free books:
📕 Andrew Ng, Machine Learning Yearning, 2018.
📙 Andrew Barto e Richard Sutton, Reinforcement Learning: A Introduction, 2018.
https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf
RIS-ALA, Rafael. Fundamentos de Aprendizagem por Reforço. 1ª ed. Rio de Janeiro, 2023. doi: 10.58976/9786500604368
Paid books:
📗 Yann LeCun, Quand la machine apprend: La révolution des neurones artificiels et de l’apprentissage profond, 2019.
📘 Peter Norvig e Stuart Russell, Artificial Intelligence: A Modern Approach, 2021.
RIS-ALA, Rafael. Fundamentals of Reinforcement Learning. Cham: Springer Nature Switzerland; 2023. doi: 10.1007/978–3–031–37345–9
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