Enjoy fast, free delivery, exclusive deals, and award-winning movies & TV shows with Prime
Try Prime
and start saving today with fast, free delivery
Amazon Prime includes:
Fast, FREE Delivery is available to Prime members. To join, select "Try Amazon Prime and start saving today with Fast, FREE Delivery" below the Add to Cart button.
Amazon Prime members enjoy:- Cardmembers earn 5% Back at Amazon.com with a Prime Credit Card.
- Unlimited Free Two-Day Delivery
- Streaming of thousands of movies and TV shows with limited ads on Prime Video.
- A Kindle book to borrow for free each month - with no due dates
- Listen to over 2 million songs and hundreds of playlists
- Unlimited photo storage with anywhere access
Important: Your credit card will NOT be charged when you start your free trial or if you cancel during the trial period. If you're happy with Amazon Prime, do nothing. At the end of the free trial, your membership will automatically upgrade to a monthly membership.
Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.
Read instantly on your browser with Kindle for Web.
Using your mobile phone camera - scan the code below and download the Kindle app.
Image Unavailable
Color:
-
-
-
- To view this video download Flash Player
Audible sample Sample
The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI Hardcover – November 7, 2023
Purchase options and add-ons
ONE OF BARACK OBAMA'S RECOMMENDED BOOKS ON AI * FINANCIAL TIMES BEST BOOKS OF 2023
From Dr. Fei-Fei Li, one of TIME's 100 MOST INFLUENTIAL in AI, comes "a powerful plea for keeping humanity at the centre of our latest technological transformation" (Financial Times).
Wired called Dr. Fei-Fei Li “one of a tiny group of scientists―a group perhaps small enough to fit around a kitchen table―who are responsible for AI’s recent remarkable advances.”
Known to the world as the creator of ImageNet, a key catalyst of modern artificial intelligence, Dr. Li has spent more than two decades at the forefront of the field. But her career in science was improbable from the start. As immigrants, her family faced a difficult transition from China’s middle class to American poverty. And their lives were made all the harder as they struggled to care for her ailing mother, who was working tirelessly to help them all gain a foothold in their new land.
Fei-Fei’s adolescent knack for physics endured, however, and positioned her to make a crucial contribution to the breakthrough we now call AI, placing her at the center of a global transformation. Over the last decades, her work has brought her face-to-face with the extraordinary possibilities―and the extraordinary dangers―of the technology she loves.
The Worlds I See is a story of science in the first person, documenting one of the century’s defining moments from the inside. It provides a riveting story of a scientist at work and a thrillingly clear explanation of what artificial intelligence actually is―and how it came to be. Emotionally raw and intellectually uncompromising, this book is a testament not only to the passion required for even the most technical scholarship but also to the curiosity forever at its heart.
- Print length336 pages
- LanguageEnglish
- PublisherFlatiron Books: A Moment of Lift Book
- Publication dateNovember 7, 2023
- Dimensions6.55 x 1.1 x 9.55 inches
- ISBN-101250897939
- ISBN-13978-1250897930
The Amazon Book Review
Book recommendations, author interviews, editors' picks, and more. Read it now.
Frequently bought together
Similar items that may ship from close to you
Get to know this book
Popular highlight
It matters what motivates the development of AI, in both science and industry, and I believe that motivation must explicitly center on human benefit.372 Kindle readers highlighted thisPopular highlight
Increased attention was being paid to algorithms that solved problems by discovering patterns from examples, rather than being explicitly programmed—in other words, learning what to do rather than being told. Researchers gave it a fitting name: “machine learning.”336 Kindle readers highlighted this
From the Publisher
Editorial Reviews
Review
Praise for The Worlds I See
“An affecting memoir … Her story of overcoming adversity inspires. This brings new dimension and humanity to discussions of AI.”
―Publishers Weekly
"An inspiring personal journey from immigrant childhood to trailblazing scientist, The Worlds I See advocates for overcoming societal barriers and makes a compelling case for a human-centric, ethical approach to AI."
―Jennifer Doudna, Nobel Laureate in Chemistry, CRISPR pioneer, and coauthor of A Crack in Creation
"Fei-Fei Li is one of the scientists responsible for the birth of today's most widely discussed science, Artificial Intelligence. In The Worlds I See she gives the best explanation of AI that I've ever read while telling the story of her own profoundly American journey as a young immigrant who finds herself through education. This is a must-read."
―Condoleezza Rice, Director of the Hoover Institution at Stanford and 66th Secretary of State of the United States.
“A remarkable book from one of the leading scientists in the field of artificial intelligence. It’s both a moving and personal coming of age story of a young scientist and a riveting narrative that brings the reader into the earliest days of one of the most consequential scientific developments of our time. The Worlds I See is a deeply human story that is ultimately about Fei-Fei Li’s lifelong passion for learning and deep love of science.”
―Ed Catmull, cofounder Pixar, bestselling author of Creativity Inc.
"A fascinating and galvanizing memoir, The Worlds I See is a testament to the power and possibility of humanity―one told through Fei-Fei Li’s own remarkable trajectory from humble origins to becoming one of AI’s key visionaries, and in her essential work to develop and use that technology to improve the human condition."
―Reid Hoffman, co-founder of Linkedin and Inflection.AI, bestselling author of Impromptu
"Fei-Fei Li was the first computer vision researcher to truly understand the power of big data and her work opened the floodgates for deep learning. She delivers an urgent, clear-eyed account of the awesome potential―and danger―of the AI technology that she helped to unleash and her call for action and collective responsibility is desperately needed at this pivotal moment in history."
―Geoff Hinton, Turing Award winner, and Professor of Computer Science, University of Toronto
"Readers looking for a portal into a science that is not often illuminated or connected back to the human experience may especially enjoy this memoir." ―Booklist
About the Author
Fei-Fei Li is a computer science professor at Stanford University and founding director of the Stanford Institute for Human-Centered AI as well as a founder and chairperson of the board of the nonprofit AI4ALL. She is an elected member of the National Academy of Engineering, the National Academy of Medicine, and the American Academy of Arts and Sciences.
Product details
- Publisher : Flatiron Books: A Moment of Lift Book (November 7, 2023)
- Language : English
- Hardcover : 336 pages
- ISBN-10 : 1250897939
- ISBN-13 : 978-1250897930
- Item Weight : 1 pounds
- Dimensions : 6.55 x 1.1 x 9.55 inches
- Best Sellers Rank: #6,284 in Books (See Top 100 in Books)
- #9 in Asian & Asian American Biographies
- #18 in Scientist Biographies
- #277 in Memoirs (Books)
- Customer Reviews:
Videos
Videos for this product
0:43
Click to play video
MUST WATCH before buying The worlds I see..
💎 The Murphy Family 💎
Videos for this product
1:13
Click to play video
My Point of View on the Book: The Worlds I See
Andre Ballin
About the author
Dr. Fei-Fei Li is a world-renowned AI scientist, professor, scholar and industry leader. She is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. And during her sabbatical from Stanford from January 2017 to September 2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She also holds a Doctorate Degree (Honorary) from Harvey Mudd College. Dr. Li joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006).
Dr. Fei-Fei Li’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. In the past she has also worked on cognitive and computational neuroscience. Dr. Li has published more than 300 peer-reviewed scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, Nature Digital Medicine, etc. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education.
Dr. Li has been working with policymakers nationally and locally to ensure the responsible use of technologies, including a congressional testimony on the responsibility of AI in 2018, her service as a member of the California Future of Work Commission for the Governor of California in 2019 - 2020, and a member of the National Artificial Intelligence Research Resource Task Force (NAIRR) for the White House Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF) in 2021-2022.
Dr. Li is an elected Member of the National Academy of Engineering (NAE), the National Academy of Medicine (NAM) and American Academy of Arts and Sciences (AAAS). She is also a Fellow of ACM, a member of the Council on Foreign Relations (CFR), a recipient of the 2022 IEEE PAMI Thomas Huang Memorial Prize, 2019 IEEE PAMI Longuet-Higgins Prize, 2019 National Geographic Society Further Award, 2017 Athena Award for Academic Leadership, IAPR 2016 J.K. Aggarwal Prize, the 2016 IEEE PAMI Mark Everingham Award, the 2016 nVidia Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship, among others. Dr. Li is a keynote speaker at many academic or influential conferences, including the World Economics Forum (Davos), the Grace Hopper Conference 2017 and the TED2015 main conference. Work from Dr. Li's lab have been featured in a variety of magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine, MIT Technology Review, Financial Times, and more. She was selected as a 2017 Women in Tech by the ELLE Magazine, a 2017 Awesome Women Award by Good Housekeeping, a Global Thinker of 2015 by Foreign Policy, and one of the “Great Immigrants: The Pride of America” in 2016 by the Carnegie Foundation, past winners include Albert Einstein, Yoyo Ma, Sergey Brin, et al.
Customer reviews
Customer Reviews, including Product Star Ratings help customers to learn more about the product and decide whether it is the right product for them.
To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzed reviews to verify trustworthiness.
Learn more how customers reviews work on AmazonReviews with images
-
Top reviews
Top reviews from the United States
There was a problem filtering reviews right now. Please try again later.
It’s amazing because it felt not like a book written by a top-notch computer scientist whom we usually associate with nerdiness and non-artistic, but by a crafty fiction writer or novelist who managed to carry her readers through emotional up and down as her journey as an immigrant, a foreign student, a laundromat assistant operator, a Princeton student and scholar, and now a world-renown AI scientist, progressed, with powerful and beautiful narratives.
It’s inspirational as it is a story of an immigrant family that faced the typical daunting challenges - languages, foreign environment, physical and fiscal poverty, but was able to overcome them with hardworking, self-discipline, perseverance, and the invaluable helps and loves from other kind-hearted people like the Sabellas family as permanently presented throughout the book. The inspiration drawn from this book is much more than an immigrant student who loves science and made it to top, it’s the author’s humility to account for those who had helped make her to the top.
Over the years I had read many books and articles about the promise and perils of Artificial Intelligence (back to the original AI) , but I would say that this book, not only by the scientist who contributed significantly to the uprising of AGI (most notably through her work of creating the ImageNet with her student Dr. Jia Deng) hooked me as the most artistically and humanly narrated. Yes, Human-Centered AI, it must be the way to go!
Looking forward to the sequel as it was lightly hinted at the end of the book.
In Princeton University, she continued to study physics as her favorite major until, with the encouragement from the high school math teacher, she participated as an assistant in a neuro research project at Stanford University one summer. That short engagement revealed her a clear path forthward to become a researcher in vision related endeavors. She then went to CalTech for her graduate studies because the advisor she met was also focusing on similar research interests in vision by enabling the computer to "see" things. During a meeting with her advisors at CalTech, she fixated on the number reported on a short paper that someone had successfully trained a neural network to recognize basic images with a small number of samples. Her advisor challenged her to scale up that number to many folds. After she became a professor at Princeton, she started a research project known as ImageNet as she was still fixated on that number that she saw at CalTech. The graduate student that was assigned to her was a top-notch problem solver. He single handedly automated the collection of images on the web. But the efforts still could take many years to finish because labeling those images required human interventions. As luck had it, she followed the advice from yet another graduate student to use crowdsourcing in order to scale up the image labeling efforts cheaply and efficiently within budget and she was able to complete the ImageNet within a year (similarly, recent crowdsourcing initiatives were pursued by BioBank to collect about 500,000 DNA samples from participants for studying genetic links to diseases and HappyWale to collect 100,000 photos of wales taken worldwide for training the tail recognition algorithm). Upon her completion of the ImageNet, other researchers piped her in the knowledge of WordNet that was built to automate natural language processing. That confluence of knowledge enabled her to begin her research on an image recognition project to describe what was seen in the picture in a short legible computer printed paragraph.
Her success in ImageNet had led to a position at Stanford University where she got all the resources that she needed to scale up her research. But her ailing mother suffered a heart problem. After surgery, she was puzzled by her mother's refusal to comply with any physical therapy requirements to get well and led to yet another unnecessary surgery. She kept talking to her mother to inquire about the real reason behind. Her patience paid off when her mother eventually confided to her that she felt losing the control of her own body when everybody was telling her to do this and that and she couldn't take it any more. That revelation opened up yet a new frontier for her research in human centered AI to design a system that is humane to people.
From her book, it made me realize that a PhD degree is not just a fancy scholastic degree to show off. It is a serious pursuit of knowledge. People could only do that with perseverance, uninterruptible attention, and insatiable desires to get down to the bottom of things rather than just scratching the surface. Additionally, her story demonstrated the financial sacrifice that she and her family had to make for her to stay in academics instead of taking a lucrative job in the financial world. Her mother was always steadfast in supporting her interest in working as a scientist even though the pay wasn't high enough when she tried to find a way to boost the living standard in the family while both parents weren't working due to her mother's illness and her father's lack of English skills to land a viable job to support the family.
Top reviews from other countries
I would like to point out one thing that I continuously thought while reading the book. It's not every day you read a book by someone so accomplished who doesn't make it all about them.
Li talks about the people who've helped her along the way and the teams she's worked with. It's clear she's good at bringing folks together and pointing them in the right direction, but she doesn't brag about it.
The book isn't just about her, it's about progress in science and the importance of teamwork. It's not just about one person's achievements, but about how we all move forward together - in personal and in professional life.
In short, Li's book is a refreshing read that puts the spotlight on the people behind the scenes and the power of teamwork. It's a nice reminder that success is a group effort.