Ai Quotes
Most Famous Ai Quotes of All Time!
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When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.
Because Facebook can't exist without AI, it needs all its engineers to build with it.
Having been trained as a computer scientist in the '90s, everybody knew that AI didn't work. People tried it. They tried neural nets, and none of it worked.
We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.
I grew up in the Middle East, and I worry that AI increases the socioeconomic divide as opposed to closing the gap.
The real problem is not the existential threat of AI. Instead, it is in the development of ethical AI systems.
As co-founder and CEO of an AI company, I am used to there not being many women in the room, especially in AI.
Governments like China and the United Arab Emirates are investing heavily in AI and see it as a competitive advantage.
Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.
We are focusing on four vertical markets - utilities, public sector, large enterprises, and transportation. And, we are building a software business as well that includes analytics, security, IOT platforms, and AI.
There are many valid concerns about AI, from its impact on jobs to its uses in autonomous weapons systems and even to the potential risk of superintelligence.
If you believe everything you read, you are probably quite worried about the prospect of a superintelligent, killer AI.
I'm trying to use AI to make the world a better place. To help scientists. To help us communicate more effectively with machines and collaborate with them.
Scientists need the infrastructure for scientific search to aid their research, and they need it to offer relevancy and ways to separate the wheat from the chaff - the useful from the noise - via AI-enabled algorithms. With AI, such an infrastructure would be able to identify the exact study a scientist needs from the tens of thousands on a topic.
I think that there are so many problems that we have as a society that AI can help us address.
I could do a whole talk on the question of is AI dangerous.' My response is that AI is not going to exterminate us. It's a tool that's going to empower us.
If we could communicate at the speed of thought, we can augment our creativity with the low-level stuff that AI and robots and 3-D printers and fab labs and all that do.
I looked at but was not allowed to touch Ai Weiwei's 'Sunflower Seeds' at the Tate. The film of making them was really moving.
We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.
I know we've had AI films, but they've been quite specific in their scope. The scope of 'Humans' is a world set up where this technology is universally accepted. I haven't seen anything that's dealt with it in that multi-layered, every-layer-of-society way.
AI - not so some kind of far-off thing. It's part of our lives now, from your phone to everything you do. It makes our lives easier in a lot of ways.
AIs are only as good as the data they are trained on. And while many of the tech giants working on AI, like Google and Facebook, have open-sourced some of their algorithms, they hold back most of their data.
As a technologist, I see how AI and the fourth industrial revolution will impact every aspect of people's lives.
AI is everywhere. It's not that big, scary thing in the future. AI is here with us.
The day healthcare can fully embrace AI is the day we have a revolution in terms of cutting costs and improving care.
We need to inject humanism into our AI education and research by injecting all walks of life into the process.
Weaponized AI is probably one of the most sensitized topics of AI - if not the most.
It is deeply against my principles to work on any project that I think is to weaponize AI.
I believe in human-centered AI to benefit people in positive and benevolent ways.
I don't know what would happen if the media starts picking up a theme that Google is secretly building AI weapons or AI technologies to enable weapons for the defense industry.
If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces.
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.
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.
The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do.
Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.
We all have a responsibility to make sure everyone - including companies, governments, and researchers - develop AI with diversity in mind.
Smart CEOs should be thinking about AI and its impact on their respective business.
There's a reason the Chinese government is very concerned about Ai Weiwei. It's because he has all of these ingredients in his life that allow him to attract enormous attention across a very broad spectrum of the population.
AI is going to be extremely beneficial, and already is, to the field of cybersecurity. It's also going to be beneficial to criminals.
'Sunspring,' the first known screenplay written by an AI, was produced recently. It is awesome. Awesomely awful. But it's worth watching all ten minutes of it to get a taste of the gap between a great screenplay and something an AI can currently produce.
The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.
In the early 1990s we witnessed the emergence of a revitalized contemporary Chinese art world that began as a reaction against the government-approved Social Realist style. Zhang Xiaogang, Huang Yong Ping, Ai WeiWei, Yue Minjun, and Wang Guangyi were among the first group of artists to establish a movement that became known as Cynical Realism.
Automation is no longer just a problem for those working in manufacturing. Physical labor was replaced by robots; mental labor is going to be replaced by AI and software.
The impending destruction of jobs due to automation and AI technologies is definitely increasing the need for - and speed at which - we have to implement big solutions, such as a universal basic income.
The success, or failure, of a CEO to implement AI throughout the organization will depend on them hiring a leader to build an organization to do this. In some companies, CIOs or chief data officers are playing this role.
The big AI dreams of making machines that could someday evolve to do intelligent things like humans could - I was turned off by that. I didn't really think that was feasible when I first joined Stanford.
AI is witnessing an early innings in India. It has a thoughtful government, and India can race ahead if it chooses to.
We're making this analogy that AI is the new electricity. Electricity transformed industries: agriculture, transportation, communication, manufacturing.
Many researchers are exploring other forms of AI, some of which have proved useful in limited contexts; there may well be a breakthrough that makes higher levels of intelligence possible, but there is still no clear path yet to this goal.
If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.
Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.
Silicon Valley and Beijing are the leading hubs of AI, followed by the U.K. and Canada. I am seeing a lot of excitement in India, going by the number of people who are taking Coursera courses on AI.
I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.
Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!
When you go to Japan, there is such a talent shortage that the debate about AI taking jobs is almost non-existent. The debate is, how can we automate this so we can get all the work done?
If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.
AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades.
We can build a much brighter future where humans are relieved of menial work using AI capabilities.
Look, when AIs come up, they're not going to be like us. A self-aware, sentient AI is not going to be like a human.
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