AI Biographies

AI Biographies

Alex Krizhevsky - A Russian-Canadian computer scientist and inventor of the AlexNet deep learning model. He has worked at Google Brain, University of Toronto and is currently a researcher at Tesla.

Anca Dragan - A Romanian-American computer scientist and Assistant Professor at the University of California, Berkeley. She is known for her work on human-robot interaction and the development of algorithms for ensuring robots behave safely around humans.

Andrew Moore - A computer scientist and Professor at Carnegie Mellon University. He was the founding Director of Google's Pittsburgh engineering office and has contributed to advances in areas such as robotics, computer vision and machine learning.

Andrew Ng - A computer scientist and entrepreneur who is known for his work on machine learning and artificial intelligence. He is the founder of Google Brain and co-founder of Coursera.

Brian Arthur - An American economist and researcher who has contributed to the development of complexity theory and its applications to AI and economics.

Christof Koch - A German-American neuroscientist who is known for his work on the neural basis of consciousness and the development of computational models of the brain.

Cynthia Breazeal - An American roboticist and computer scientist who is known for her work on social robots. She is the founder and director of the Personal Robots Group at the MIT Media Lab.

Daphne Koller - A computer scientist and Professor at Stanford University. She is known for her contributions to probabilistic modeling and the development of the online learning platform Coursera.

Dario Gil - An Italian-American computer scientist and entrepreneur. He is the Director of IBM Research and is known for his work on quantum computing and the development of the IBM Watson AI platform.

Demis Hassabis - A British entrepreneur and computer game designer who co-founded DeepMind, a leading AI research company that was later acquired by Google.

Fei-Fei Li - A Chinese-American computer scientist and the Sequoia Capital Professor of Computer Science at Stanford University. She is known for her work on computer vision and is the co-founder of AI4ALL, a non-profit organization focused on increasing diversity and inclusion in AI.

Gary Marcus - An American cognitive scientist and Professor at New York University. He is known for his work on machine learning, natural language processing and the development of AI that can learn from fewer examples.

Genevieve Bell - An Australian anthropologist and researcher who is known for her work on the social and cultural implications of AI and the development of new human-machine interaction models.

Geoffrey Hinton - A British-Canadian computer scientist and cognitive psychologist who is widely recognized as one of the fathers of deep learning. He is a professor at the University of Toronto and a researcher at Google Brain.

Greg Brockman - An American entrepreneur and programmer. He is the CEO of OpenAI, a research company focused on creating advanced AI in a safe and beneficial way.

Hany Farid - An American computer scientist and Professor at the University of California, Berkeley. He is known for his work on digital forensics and the development of tools to detect and combat deepfakes.

Ian Goodfellow - A Canadian computer scientist and inventor of Generative Adversarial Networks (GANs). He has worked at Google Brain, OpenAI and Director of Machine Learning at Apple.

Ilya Sutskever - A Russian-Canadian computer scientist and co-founder of OpenAI. He is known for his contributions to deep learning, particularly in the areas of sequence modeling and generative models.

Jeff Dean - A computer scientist and Senior Fellow at Google who is known for his work on large-scale distributed systems and machine learning. He is the co-founder of the Google Brain team and the TensorFlow project.

Jeff Hawkins - An American computer scientist, inventor and entrepreneur. He is the founder of Numenta, a company focused on developing a theory of how the neocortex of the brain works and applying it to machine learning.

Joelle Pineau - A Canadian computer scientist and Professor at McGill University. She is known for her work on reinforcement learning and the development of algorithms for autonomous agents.

John McCarthy - An American computer scientist who is considered one of the founders of artificial intelligence. He coined the term "artificial intelligence" and was a pioneer in the development of symbolic reasoning and expert systems.

Joshua Tenenbaum - An American cognitive scientist and Professor at MIT. He is known for his work on probabilistic models of human cognition and has contributed to advances in the development of AI that can learn more like humans do.

Judea Pearl - An Israeli-American computer scientist and philosopher who is known for his work on causal inference and the development of Bayesian networks. He was awarded the Turing Award in 2011.

Jürgen Schmidhuber - A German computer scientist and co-founder of the Swiss AI research company, IDSIA. He is known for his contributions to deep learning, particularly in the areas of recurrent neural networks and artificial curiosity.

Kai-Fu Lee - A Chinese-American computer scientist and entrepreneur who is the founder of Sinovation Ventures, a venture capital firm focused on AI startups. He is also the author of the book "AI Superpowers: China, Silicon Valley, and the New World Order."

Kate Crawford - An Australian researcher and Professor at the University of Southern California. She is known for her work on the social and ethical implications of AI, particularly around issues of bias and accountability.

Leslie Kaelbling - An American computer scientist and Professor at MIT. She is known for her work on reinforcement learning and has developed algorithms for robots to learn from their own experiences.

Michael Jordan - An American computer scientist and Professor at the University of California, Berkeley. He is known for his work on machine learning and the development of algorithms for probabilistic inference.

Olga Russakovsky - An American computer scientist and Professor at Princeton University. She is known for her work on computer vision and the development of datasets and benchmarks to evaluate AI performance.

Oren Etzioni - An Israeli-American computer scientist and entrepreneur. He is the CEO of the Allen Institute for Artificial Intelligence and is known for his work on natural language processing and semantic search.

Raj Reddy - An Indian-American computer scientist and Professor at Carnegie Mellon University. He is known for his contributions to the development of speech recognition and natural language processing.

Ray Kurzweil - An American inventor, entrepreneur and futurist. He is the co-founder of Singularity University and is known for his predictions about the future of AI and human-machine integration.

Regina Barzilay - A computer scientist and Professor at MIT. She is known for her work on natural language processing and applications of machine learning to medicine.

Rodney Brooks - An Australian roboticist and entrepreneur. He co-founded iRobot, a company that produces the Roomba robot vacuum cleaner, and has contributed to advances in the development of robots for use in manufacturing and other industries.

Sam Altman - An American entrepreneur and investor. He was the President of startup accelerator Y Combinator and is the co-founder of OpenAI.

Sebastian Thrun - A German-American computer scientist and entrepreneur. He is the founder of Udacity, an online education platform, and has contributed to advances in machine learning and robotics.

Stuart Russell - A British computer scientist and Professor at the University of California, Berkeley. He is known for his work on artificial intelligence safety and is the author of the textbook "Artificial Intelligence: A Modern Approach."

Timnit Gebru - An Ethiopian-American computer scientist and researcher. She is known for her work on the ethical implications of AI and the development of algorithms for fairness and accountability.

Yann LeCun - A French computer scientist and Professor at New York University. He is known for his contributions to the development of convolutional neural networks, a key technique in deep learning.

Yoky Matsuoka - A Japanese-American roboticist and entrepreneur. She has held executive positions at Google, Nest and Apple and is known for her work on the development of robotic exoskeletons and other assistive technologies.

Yoshinori Hatori - A Japanese computer scientist who is a pioneer in the field of reinforcement learning. He is the founder of the Tokyo-based AI research lab, Preferred Networks.

Yoshua Bengio - A Canadian computer scientist and professor at the University of Montreal. He is one of the leading figures in deep learning and is known for his work on neural networks.

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Some AI biographies/books:

1. "The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World" by Pedro Domingos - This book tells the story of artificial intelligence and the people who have been involved in its development.


2. "The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution" by Walter Isaacson - This book covers the history of computing and includes biographies of important figures in the field, such as Ada Lovelace, Alan Turing, and Steve Jobs.

3. "The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies" by Erik Brynjolfsson and Andrew McAfee - This book discusses the impact of artificial intelligence and other technologies on the economy and society.

4. "Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom - This book explores the potential dangers of advanced artificial intelligence and how to avoid them.

5. "Life 3.0: Being Human in the Age of Artificial Intelligence" by Max Tegmark - This book examines the potential benefits and risks of advanced artificial intelligence and explores what it means to be human in a world with intelligent machines.

6. "Thinking Machines: The Quest for Artificial Intelligence and Where It's Taking Us Next" by Luke Dormehl - This book covers the history of AI, its current state, and the possibilities and challenges of its future.

7. "The Deep Learning Revolution" by Terrence Sejnowski - This book explores the history and future of deep learning, a subset of AI that has revolutionized the field.

8. "The AI Does Not Hate You: Superintelligence, Rationality, and the Race to Save the World" by Tom Chivers - This book explores the potential of advanced AI and the efforts to ensure it is developed safely.

9. "Human Compatible: Artificial Intelligence and the Problem of Control" by Stuart Russell - This book discusses the challenges of developing AI that aligns with human values and can be controlled.

10. "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig - This book is a textbook on AI that covers its history, theory, and applications.

11. "Our Final Invention: Artificial Intelligence and the End of the Human Era" by James Barrat - This book discusses the dangers of advanced AI and the potential for it to cause the end of humanity.

12. "The Rise of the Machines: The Lost History of Cybernetics" by Thomas Rid - This book explores the history of cybernetics, an interdisciplinary field that includes AI, and its impact on society.

13. "The Dream Machine: J.C.R. Licklider and the Revolution That Made Computing Personal" by M. Mitchell Waldrop - This book tells the story of J.C.R. Licklider, a computer scientist who played a key role in the development of the internet and AI.

14. "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell - This book explores the fundamentals of AI and its impact on society, while also discussing the limitations and challenges of the field.

15. "The Hundred-Page Machine Learning Book" by Andriy Burkov - This book is a concise introduction to machine learning, a subset of AI that involves training algorithms to learn from data. It covers the theory and practical applications of machine learning.

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AI biographies are the personal stories of those who have made significant contributions to the field of AI. These biographies cover the life stories of scientists, engineers, researchers, and entrepreneurs who have shaped the evolution of AI. By reading these biographies, you can gain a deeper understanding of the challenges and breakthroughs these individuals faced in their work.

Some of the most well-known AI pioneers with biographies include Alan Turing, John McCarthy, Marvin Minsky, and Herbert Simon. Turing is considered the father of modern computing and AI, having played a crucial role in developing the concept of a universal machine that could solve any problem. McCarthy is credited with coining the term "Artificial Intelligence" and was instrumental in developing the Lisp programming language, which is still used in AI research today. Minsky and Simon were also pioneers in the field of AI, having made significant contributions to the development of symbolic AI.

In recent years, AI biographies have also featured modern innovators such as Andrew Ng, Fei-Fei Li, and Demis Hassabis. Ng is the founder of the online learning platform, Coursera, and has been instrumental in the development of deep learning techniques. Li is a computer science professor at Stanford University and has contributed significantly to the development of computer vision and image recognition technology. Hassabis is the founder of DeepMind, a company that has made groundbreaking advances in AI, including developing the AlphaGo program, which defeated the world champion in the ancient Chinese game of Go.

Reading AI biographies can be a great way to gain insight into the lives and work of these individuals and learn more about the technology that is shaping our world. Biographies provide a unique perspective on the personal and professional lives of these individuals, including their motivations, inspirations, and challenges.

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Artificial Intelligence Biographies: Google Results & Bing Results.

AI Biographies News: Bing Results & Google Results

Related Wikipedia definition - https://en.wikipedia.org/wiki/Artificial_intelligence


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