Words matter. These are the best Fei-Fei Li Quotes, and they’re great for sharing with your friends.
I’m a go-getter. It’s in my DNA. If I spend a lot of time lamenting on the difficulties, then it could be distracting.
When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face.
Yes, we have prototyped cars that can drive by themselves, but without smart vision, they cannot really tell the difference between a crumpled paper bag on the road, which can be run over, and a rock that size, which should be avoided.
The cloud is this gigantic computing vehicle that delivers computing services to every single industry.
Yes, we have prototyped cars that can drive by themselves, but without smart vision, they cannot really tell the difference between a crumpled paper bag on the road, which can be run over, and a rock that size, which should be avoided.
The paradigm shift of the ImageNet thinking is that while a lot of people are paying attention to models, let’s pay attention to data. Data will redefine how we think about models.
When eyes were first developed in animals, suddenly animal life becomes proactive.
AI will impact every industry on Earth, including manufacturing, agriculture, health care, and more.
Smart CEOs should be thinking about AI and its impact on their respective business.
I often tell my students not to be misled by the name ‘artificial intelligence’ – there is nothing artificial about it. AI is made by humans, intended to behave by humans, and, ultimately, to impact humans’ lives and human society.
The tools and technologies we’ve developed are really the first few drops of water in the vast ocean of what AI can do.
I didn’t make a lot of friends in high school. It’s a cruel time, and I was very geeky.
If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces.
Making AI more sensitive to the full scope of human thought is no simple task. The solutions are likely to require insights derived from fields beyond computer science, which means programmers will have to learn to collaborate more often with experts in other domains.
As for me, I’m an optimist.
As one of the leaders in the world for AI, I feel tremendous excitement and responsibility to create the most awesome and benevolent technology for society and to educate the most awesome and benevolent technologists – that’s my calling.
AI cloud is just very, very nascent.
We all have a responsibility to make sure everyone – including companies, governments, and researchers – develop AI with diversity in mind.
When eyes were first developed in animals, suddenly animal life becomes proactive.
AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.
Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.
When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face.
We will not only use the machines for their intelligence, we will also collaborate with them in ways that we cannot even imagine.
We need to inject humanism into our AI education and research by injecting all walks of life into the process.
Smart CEOs should be thinking about AI and its impact on their respective business.
AI is everywhere. It’s not that big, scary thing in the future. AI is here with us.
Weaponized AI is probably one of the most sensitized topics of AI – if not the most.
AI cloud is just very, very nascent.
There is great potential to use computer vision technology in a constructive and benevolent way.
From the day an idea is conceptualized to the day the technology is built, carried out, and regulated, it’s important to have that human awareness.
I believe AI and its benefits have no borders. Whether a breakthrough occurs in Silicon Valley, Beijing, or anywhere else, it has the potential to make everyone’s life better for the entire world.
The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.
The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.
I love Silicon Valley, but there is a dominant voice of, ‘Tech is cool. Tech is geeky. Tech is a guy with a hoodie.’
I believe in human-centered AI to benefit people in positive and benevolent ways.
The cloud is this gigantic computing vehicle that delivers computing services to every single industry.
I really believe there are no borders for science.
For me it’s very important to think about AI’s impact in the world, and one of the most important missions is to democratize this technology.
If you were a computer and read all the AI articles and extracted out the names that are quoted, I guarantee you that women rarely show up. For every woman who has been quoted about AI technology, there are a hundred more times men were quoted.
I believe in the future of AI changing the world. The question is, who is changing AI? It is really important to bring diverse groups of students and future leaders into the development of AI.
No one tells a child how to see, especially in the early years. They learn this through real-world experiences and examples.
One thing ImageNet changed in the field of AI is suddenly people realized the thankless work of making a dataset was at the core of AI research.
AI will impact every industry on Earth, including manufacturing, agriculture, health care, and more.
I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy.
It is deeply against my principles to work on any project that I think is to weaponize AI.
