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.
----------------------------
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.
----------------------------
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.