A Quote by Fei-Fei Li

AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications. — © Fei-Fei Li
AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.
What I advocate for is that, as soon as we get to the point when artificial intelligence can take off and be as smart, or even 10 times more intelligent than us, we stop that research and we have the research of cranial implant technology or the brainwave. And we make that so good so that, when artificial intelligence actually decides - when we actually decide to switch the on-button - human beings will also be a part of that intelligence. We will be merged, basically directly.
Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops and working closely with the vibrant Chinese AI research community.
Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.
There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.
Everything that civilisation has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide, but the eradication of war, disease, and poverty would be high on anyone's list. Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last.
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.
My own work falls into a subset of AI that is about building artificial emotional intelligence, or Emotion AI for short.
It is hard to think of practical applications of the black hole. Because practical applications are so remote, many people assume we should not be interested. But this quest to understand the world is what defines us as human beings.
The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.
By their very nature, heuristic shortcuts will produce biases, and that is true for both humans and artificial intelligence, but the heuristics of AI are not necessarily the human ones.
I advocate as a futurist and also as a member of the Transhumanist Party, that we never let artificial intelligence completely go on its own. I just don't see why the human species needs an artificial entity, an artificial intelligence entity, that's 10,000 times smarter than us. I just don't see why that could ever be a good thing.
I think that AI will lead to a low cost and better quality life for millions of people. Like electricity, it's a possibility to build a wonderful society. Also, right now, I don't see a clear path for AI to surpass human-level intelligence.
As the founding lead of the Google Brain team, former director of the Stanford Artificial Intelligence Laboratory, and now overall lead of Baidu's AI team of some 1,200 people, I've been privileged to nurture many of the world's leading AI groups and have built many AI products that are used by hundreds of millions of people.
I think whatever nation or whoever develops one artificial intelligence will probably make it so that artificial intelligence always stays ahead of any other developing artificial intelligence at any other point in time. It might even do things like send viruses to a second artificial intelligence, just so it can wipe it out, to protect its grounds. It's gonna be very similar to national politics.
One of the things that Baidu did well early on was to create an internal platform for deep learning. What that did was enable engineers all across the company, including people who were not AI researchers, to leverage deep learning in all sorts of creative ways - applications that an AI researcher like me never would have thought of.
Artificial intelligence is here and being rapidly commercialized, with new applications being created not just for manufacturing but also for energy, healthcare, and oil and gas. This will change how we all do business.
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