When I was a graduate student in computer science in the early

When I was a graduate student in computer science in the early

Fei-Fei Li
22/09/2025
22/09/2025

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.

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When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
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.
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
When I was a graduate student in computer science in the early
Fei-Fei Li
Fei-Fei Li

Chinese - Scientist Born: 1976

With the author

More than 500 million years ago, vision became the primary driving force of evolution's 'big bang', the Cambrian Explosion, which resulted in explosive speciation of the animal kingdom. 500 million years later, AI technology is at the verge of changing the landscape of how humans live, work, communicate,and shape our environment.

Fei-Fei Li

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.

Fei-Fei Li

Governments can make a greater effort to encourage computer science education, especially among young girls, racial minorities, and other groups whose perspectives have been underrepresented in AI.

Fei-Fei Li

There is great potential to use computer vision technology in a constructive and benevolent way.

Fei-Fei Li

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.

Fei-Fei Li

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.

Fei-Fei Li

Technology could benefit or hurt people, so the usage of tech is the responsibility of humanity as a whole, not just the discoverer. I am a person before I'm an AI technologist.

Fei-Fei Li

We need to inject humanism into our AI education and research by injecting all walks of life into the process.

Fei-Fei Li

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