Quotes About AI

Smart CEOs should be thinking about AI and its impact on their respective business.

We approach experience much as an artificial intelligence (AI) program does, with our brains continually translating the data of the present into the terms of the past, reaching back in time for the relevant experience, and then using that to make its best guess as to how to predict and navigate the future.

el hito siguiente en la historia de la IA: aplicar una ingeniería inversa al cerebro humano.

En algún momento debemos esperar que las máquinas tomen el control. ALAN TURING

In AI, Spielberg is bleaching the dirt out of the human mind and leaving behind only the vacant gaze of machine 'love'. Coca Cola ads do much the same thing - and they don't take two hours.

In many areas, the E.U. regulates to help the worst sort of giant corporate looters defending their position against entrepreneurs. Post-Brexit Britain will be outside this jurisdiction and able to make faster and better decisions about regulating technology like genomics, AI and robotics.

She had once read in a book about consciousness that over the years, the human brain makes an AI version of your loved ones. The brain collects data, and within your brain, you host a virtual version of that person. Upon the person's death, your brain still believes the virtual person exists, because, in a sense, the person still does. After a while, though, the memory fades, and each year, you are left with an increasingly diminished version of the AI

When AI approximates Machine Intelligence, then many online and computer-run RPGs will move towards actual RPG activity. Nonetheless, that will not replace the experience of 'being there ' any more than seeing a theatrical motion picture can replace the stage play.

Artificial intelligence is very powerful and it can help us do amazing things, but it also has the potential to do great harm. We need to approach it with caution, and we need to make sure that we're thinking about the long-term implications of the technology.

In a 2002 interview with Science Fiction Weekly magazine, when asked: Excession is particularly popular because of its copious detail concerning the Ships and Minds of the Culture, its great AIs: their outrageous names, their dangerous senses of humour. Is this what gods would actually be like? Banks replied: If we're lucky.

One of my relatives had been asking me on how he could break into AI. For him to learn AI - deep-learning, technically - a lot of facts exist on the Internet, but it is difficult for someone to go and read the right combination of research papers and find blog posts and YouTube videos and figure out themselves on how to learn deep-learning.

Robots already perform many functions, from making cars to defusing bombs - or, more menacingly, firing missiles. Children and adults play with toy robots, while vacuum-cleaning robots are sucking up dirt in a growing number of homes and - as evidenced by YouTube videos - entertaining cats.

The basic idea in case-based, or CBR, is that the program has stored problems and solutions. Then, when a new problem comes up, the program tries to find a similar problem in its database by finding analogous aspects between the problems.

And I think the greatest danger that AI poses isn't so much these anthropomorphic beings who look like us and are beguiling are going to fool us. It's the fact that a intelligence without a body or corporeal form will fool us into trusting it with data, which we seem to think is... it has no repercussions.

AIs trained on open data are more likely to be neutral and trustworthy instead of biased by the interests of the corporation who created and trained them.

It is difficult to make good scalable use of a CPU like you can of a graphics card. You certainly don't want 'better or worse' physics or AI in your game

Bots are at best narrow AI, nothing that would make a cleric remotely nervous. But they would scare the hell out of epidemiologists who understand that parasites don't need to be smart to be dangerous.

Some law firms now use artificial intelligence software to scan and read mountains of legal documents, work that previously was performed by highly paid human lawyers.

There are very few industries that I know of - I mean, there are companies in fashion, in cosmetics. They're developing AI models and training them in the cloud in the beginning. If they're successful, they build their own datacenters and develop the software in their own datacenter, like Uber does.

In the past, much power and responsibility over life and death was concentrated in the hands of doctors. Now, this ethical burden is increasingly shared by the builders of AI software.

I joined Baidu in 2014 to work on AI. Since then, Baidu's AI group has grown to roughly 1,300 people, which includes the 300-person Baidu Research. Our AI software is used every day by hundreds of millions of people.

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.

We see incredible opportunity to solve some of the biggest social challenges we have by combining high-performance computing and AI - such as climate change and more.

The businesses and organizations that succeed with AI will be those that invest steadily, rise above the hype, make a good match between their business problems and the capabilities of AI, and take the long view.