Understanding vision and building visual systems is really understanding intelligence.
Fei-Fei LiRead
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.
Interpretation
AI has the potential to improve lives globally, regardless of where advancements occur.
This quote by Fei-Fei Li emphasizes the universal potential of artificial intelligence to enhance the quality of life for people around the world, regardless of geographical boundaries. It suggests that technological innovations in AI, whether they originate in major tech hubs or less prominent locations, can contribute positively to humanity as a whole.
In practice
In a conference discussing the global impact of technology, this quote can be used to highlight the importance of AI advancements.
Understanding vision and building visual systems is really understanding intelligence.
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.
It is deeply against my principles to work on any project that I think is to weaponize AI.
AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.
The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do.
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.
Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.
You need to invent things and you need to get them to people. You need to commercialize those inventions. Obviously, the best way we've come up with doing that is through companies.
Every program has (at least) two purposes: the one for which it was written and another for which it wasn't.
You insist that there is something a machine cannot do. If you tell me precisely what it is a machine cannot do, then I can always make a machine which will do just that.
It is interesting to come across people who feel that a ghost communicating via a spell-checker is less far-fetched than a software glitch.
Robots will neither be common nor very good in 2014, but they will be in existence.
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