Scientist Quotes

I really believe there are no borders for science.
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.
If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces.
If someone has a fantastic biology background, he or she can contribute in AI and health care. AI has many aspects.
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.
It is deeply against my principles to work on any project that I think is to weaponize AI.
Just like the brain consists of billions of highly connected neurons, a basic operating unit in a neural network is a neuron-like node. It takes input from other nodes and sends output to others.
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.
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.
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.
Smart CEOs should be thinking about AI and its impact on their respective business.
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.
The cloud is this gigantic computing vehicle that delivers computing services to every single industry.
The day healthcare can fully embrace AI is the day we have a revolution in terms of cutting costs and improving care.
The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.
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.
The real existential challenge is to live up to your fullest potential, along with living up to your intense sense of responsibility and to be honest to yourself about what you want.
The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do.
There is great potential to use computer vision technology in a constructive and benevolent way.
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