Norbert Wiener Quotes

I wrote the first book, Harvest of Stars, and as I was writing it, I saw that certain implications had barely been touched on... It's perfectly obvious that two completely revolutionary things are going on, with cybernetics, and biological science.

Don't expect to be able to upload your cat's brain into your Roomba any time soon.

In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.

Ultimately, I hypothesize that technology will one day be able to recreate a realistic representation of us as a result of the plethora of content we're creating converging with other advances in machine learning, robotics and large-scale data mining.

It's not telepathy. It's not the Borg. But we created a new central nervous system made of two brains.

If the clockwork universe equated the human body with the mechanics of the clock, the digital universe now equates human consciousness with the processing of the computer. We joke that things don't compute, that we need a reboot, or that our memory has been wiped.

When you talk to a human in 2035, you'll be talking to someone that's a combination of biological and non-biological intelligence.

Over time I think we will probably see a closer merger of biological intelligence and digital intelligence.

With Cyborg, this is a winnable fight for me.

Data is a tool for enhancing intuition.

After all, if you had the complete decision process, you could run it as an AI, and I'd be coding it up right now.

The study of thinking machines teaches us more about the brain than we can learn by introspective methods. Western man is externalizing himself in the form of gadgets.

Virtual reality, all the A.I. work we do, all the robotics work we do - we're as close to realizing science fiction as it gets.

I think the way we're doing computer vision is just wrong.

We have a good sense of the pulse of the industry. We know what's going on out there. We know that deep learning adoption is broad. It's going into production at scale.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

Artificial intelligence, machine learning... cell therapy, immunotherapy. There's just a constant stream of investment ideas we could pursue better in that fashion.

I actually learned about Cyborg through the cartoon shows, and I think that's how most people learn about Cyborg.

I'd like to make a fundamental impact on one of the most exciting, intelligent questions of all time. Can we use software and hardware to build intelligence into a machine? Can that machine help us solve cancer? Can that machine help us solve climate change?

Since the beginning of the computer age, there has been immense development in computer intelligence but exactly zero development in computer consciousness.

Take any old classification problem where you have a lot of data, and it's going to be solved by deep learning. There's going to be thousands of applications of deep learning.

Early AI was mainly based on logic. You're trying to make computers that reason like people. The second route is from biology: You're trying to make computers that can perceive and act and adapt like animals.

The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.

'Detroit' started based on a book called 'The Singularity is Near' by Ray Kurzweil, which is about this idea that one day there could be machines that are more intelligent than we are.